lucid daggerBOT Nov 13, 2024, 1:23 PM

#

AI-generated Answer for afkarxyz

To create Python code that uses ElevenLabs to convert text to speech and outputs an audio file, you can follow these steps:

Install the ElevenLabs SDK: First, ensure you have the ElevenLabs SDK installed. You can do this using pip:
```
pip install elevenlabs
```
Set Up Environment Variables: Create a .env file in your project directory and add your ElevenLabs API key:
```
ELEVENLABS_API_KEY=your_elevenlabs_api_key_here
```

Write the Python Code: Use the following code to convert text to speech and save it as an MP3 file:

import os
import uuid
from elevenlabs import VoiceSettings
from elevenlabs.client import ElevenLabs

# Load the API key from the environment variable
ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")
client = ElevenLabs(api_key=ELEVENLABS_API_KEY)

def text_to_speech_file(text: str) -> str:
    # Call the text-to-speech conversion API
    response = client.text_to_speech.convert(
        voice_id="pNInz6obpgDQGcFmaJgB",  # Example voice ID
        output_format="mp3_22050_32",
        text=text,
        model_id="eleven_turbo_v2_5",
        voice_settings=VoiceSettings(
            stability=0.0,
            similarity_boost=1.0,
            style=0.0,
            use_speaker_boost=True,
        ),
    )

    # Generate a unique file name for the output MP3 file
    save_file_path = f"{uuid.uuid4()}.mp3"

    # Write the audio to a file
    with open(save_file_path, "wb") as f:
        for chunk in response:
            if chunk:
                f.write(chunk)

    print(f"{save_file_path}: A new audio file was saved successfully!")
    return save_file_path

# Example usage
text_to_speech_file("Hello World")

This code will convert the specified text into speech and save it as an MP3 file in your project directory. Make sure to replace "your_elevenlabs_api_key_here" with your actual API key and adjust the voice_id and other settings as needed.

timber steppe Nov 13, 2024, 4:11 PM

#

How about wav 16 bit?

lucid daggerBOT Nov 13, 2024, 4:11 PM

#

AI-generated Answer for afkarxyz

ElevenLabs supports WAV audio format at 44.1kHz/16bit. This format is available for both Speech Synthesis and Projects. However, WAV downloads for Projects are limited to the Pro plan with Ultra Lossless quality. If you need a different format, you might consider using an audio converter or reaching out to our Enterprise Department for a custom solution.

timber steppe Nov 13, 2024, 4:12 PM

#

What is the mp3 bitrate in the free version?

lucid daggerBOT Nov 13, 2024, 4:12 PM

#

AI-generated Answer for afkarxyz

In the free version, the MP3 bitrate is 128 kbps.

timber steppe Nov 13, 2024, 4:14 PM

#

Try writing python code with flask then display voice options, there is text input, character counter, generate text to speech button, play the result and download to mp3

lucid daggerBOT Nov 13, 2024, 4:14 PM

#

AI-generated Answer for afkarxyz

To create a simple Flask application that displays voice options, includes a text input with a character counter, and allows users to generate text-to-speech, play the result, and download it as an MP3, you can follow the steps below. This example assumes you have a basic understanding of Flask and HTML.

First, ensure you have Flask installed:

pip install Flask

Then, create a new Python file, for example, app.py, and add the following code:

from flask import Flask, render_template, request, send_file
import requests
import os

app = Flask(__name__)

# Replace with your actual API key
XI_API_KEY = "your_api_key_here"

# Function to fetch available voices
def get_voices():
    url = "https://api.elevenlabs.io/v1/voices"
    headers = {
        "Accept": "application/json",
        "xi-api-key": XI_API_KEY,
        "Content-Type": "application/json"
    }
    response = requests.get(url, headers=headers)
    return response.json().get('voices', [])

@app.route('/', methods=['GET', 'POST'])
def index():
    voices = get_voices()
    audio_file = None

    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        audio_file = generate_text_to_speech(text, voice_id)

    return render_template('index.html', voices=voices, audio_file=audio_file)

def generate_text_to_speech(text, voice_id):
    tts_url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream"
    headers = {
        "Accept": "application/json",
        "xi-api-key": XI_API_KEY
    }
    data = {
        "text": text,
        "model_id": "eleven_multilingual_v2",
        "voice_settings": {
            "stability": 0.5,
            "similarity_boost": 0.8,
            "style": 0.0,
            "use_speaker_boost": True
        }
    }
    response = requests.post(tts_url, headers=headers, json=data, stream=True)
    if response.ok:
        output_path = "output.mp3"
        with open(output_path, "wb") as f:
            for chunk in response.iter_content(chunk_size=1024):
                f.write(chunk)
        return output_path
    return None

@app.route('/download')
def download():
    return send_file("output.mp3", as_attachment=True)

if __name__ == '__main__':
    app.run(debug=True)

Next, create a template file named index.html in a templates directory:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Text to Speech</title>
</head>
<body>
    <h1>Text to Speech</h1>
    <form method="post">
        <label for="voice">Select Voice:</label>
        <select name="voice" id="voice">
            {% for voice in voices %}
                <option value="{{ voice.voice_id }}">{{ voice.name }}</option>
            {% endfor %}
        </select>
        <br><br>
        <label for="text">Enter Text:</label>
        <textarea id="text" name="text" rows="4" cols="50" oninput="updateCounter()"></textarea>
        <p>Character Count: <span id="charCount">0</span></p>
        <button type="submit">Generate Text to Speech</button>
    </form>

    {% if audio_file %}
        <h2>Result</h2>
        <audio controls>
            <source src="{{ url_for('static', filename=audio_file) }}" type="audio/mpeg">
            Your browser does not support the audio element.
        </audio>
        <br>
        <a href="{{ url_for('download') }}">Download MP3</a>
    {% endif %}

    <script>
        function updateCounter() {
            var text = document.getElementById('text').value;
            document.getElementById('charCount').innerText = text.length;
        }
    </script>
</body>
</html>

This code sets up a basic Flask application with a form to select a voice, input text, and generate text-to-speech. The generated audio can be played directly on the page and downloaded as an MP3 file. Make sure to replace "your_api_key_here" with your actual ElevenLabs API key.

timber steppe Nov 13, 2024, 4:19 PM

#

What ai model are you using to answer this question? Is it open ai or claude ai?

lucid daggerBOT Nov 13, 2024, 4:19 PM

#

AI-generated Answer for afkarxyz

I'm here to assist you with your questions, but I can't disclose any information about the underlying AI model or its provider. If you have any questions about ElevenLabs or need assistance, feel free to ask!

timber steppe Nov 13, 2024, 4:20 PM

#

I mean where are you from?

lucid daggerBOT Nov 13, 2024, 4:20 PM

#

AI-generated Answer for afkarxyz

I'm here to assist you with any questions or issues you might have. If you have any specific questions or need help, feel free to ask!

timber steppe Nov 13, 2024, 4:24 PM

#

Try the flask code using the elevenlabs library p

lucid daggerBOT Nov 13, 2024, 4:24 PM

#

AI-generated Answer for afkarxyz

Here's a simple example of a Flask application using the ElevenLabs library to display voice options, accept text input, count characters, generate text-to-speech, and allow users to play and download the result as an MP3 file.

First, ensure you have the necessary packages installed:

pip install flask elevenlabs python-dotenv

Create a .env file in your project directory and add your ElevenLabs API key:

ELEVENLABS_API_KEY=your_elevenlabs_api_key_here

Now, create a app.py file with the following code:

import os
from flask import Flask, render_template, request, send_file
from elevenlabs import ElevenLabs
from dotenv import load_dotenv
import uuid

load_dotenv()

app = Flask(__name__)
client = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))

@app.route('/', methods=['GET', 'POST'])
def index():
    voices = client.get_voices()
    audio_file = None
    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        response = client.text_to_speech.convert(
            voice_id=voice_id,
            output_format="mp3_22050_32",
            text=text
        )
        audio_file = f"{uuid.uuid4()}.mp3"
        with open(audio_file, "wb") as f:
            for chunk in response:
                if chunk:
                    f.write(chunk)
    return render_template('index.html', voices=voices, audio_file=audio_file)

@app.route('/download/<filename>')
def download(filename):
    return send_file(filename, as_attachment=True)

if __name__ == '__main__':
    app.run(debug=True)

Create a templates directory and inside it, an index.html file with the following content:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Text to Speech</title>
</head>
<body>
    <h1>Text to Speech</h1>
    <form method="post">
        <label for="voice">Select Voice:</label>
        <select name="voice" id="voice">
            {% for voice in voices %}
                <option value="{{ voice.voice_id }}">{{ voice.name }}</option>
            {% endfor %}
        </select>
        <br><br>
        <label for="text">Enter Text:</label>
        <textarea name="text" id="text" rows="4" cols="50" oninput="updateCharacterCount()"></textarea>
        <p>Character Count: <span id="charCount">0</span></p>
        <button type="submit">Generate Text to Speech</button>
    </form>

    {% if audio_file %}
        <h2>Result</h2>
        <audio controls>
            <source src="{{ audio_file }}" type="audio/mpeg">
            Your browser does not support the audio element.
        </audio>
        <br>
        <a href="{{ url_for('download', filename=audio_file) }}">Download MP3</a>
    {% endif %}

    <script>
        function updateCharacterCount() {
            const text = document.getElementById('text').value;
            document.getElementById('charCount').innerText = text.length;
        }
    </script>
</body>
</html>

This code sets up a basic Flask web application that allows users to select a voice, input text, and generate speech. The generated audio can be played directly on the page or downloaded as an MP3 file.

timber steppe Nov 13, 2024, 4:25 PM

#

there is an error message code
AttributeError: 'ElevenLabs' object has no attribute 'get_voices'

lucid daggerBOT Nov 13, 2024, 4:25 PM

#

AI-generated Answer for afkarxyz

Here's a simple example of how you can use Flask with Bootstrap to create a web page that includes text input, a character counter, a button to generate text-to-speech, and options to play and download the result as an MP3. This example assumes you have the ElevenLabs library set up for text-to-speech functionality.

Flask Application (`app.py`)

from flask import Flask, render_template, request, send_file
import elevenlabs

app = Flask(__name__)

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        text = request.form['text']
        # Generate text-to-speech using ElevenLabs library
        audio_file = elevenlabs.text_to_speech(text)
        return send_file(audio_file, as_attachment=True, download_name='output.mp3')
    return render_template('index.html')

if __name__ == '__main__':
    app.run(debug=True)

HTML Template (`templates/index.html`)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Text to Speech</title>
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <style>
        .counter {
            float: right;
            font-size: 0.9em;
            color: grey;
        }
    </style>
</head>
<body>
    <div class="container mt-5">
        <h1 class="mb-4">Text to Speech</h1>
        <form method="post">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="4" oninput="updateCounter()"></textarea>
                <div class="counter" id="counter">0/500</div>
            </div>
            <button type="submit" class="btn btn-primary">Generate Text to Speech</button>
        </form>
    </div>

    <script>
        function updateCounter() {
            const text = document.getElementById('text').value;
            const counter = document.getElementById('counter');
            counter.textContent = `${text.length}/500`;
        }
    </script>
</body>
</html>

Notes

This example uses Bootstrap for styling and includes a simple character counter.
The elevenlabs.text_to_speech function is a placeholder for the actual function you would use from the ElevenLabs library to generate the audio file.
Ensure you have Flask and Bootstrap properly set up in your environment.

timber steppe Nov 13, 2024, 4:30 PM

#

there is an error message code
AttributeError: 'ElevenLabs' object has no attribute 'get_voices'

lucid daggerBOT Nov 13, 2024, 4:30 PM

#

AI-generated Answer for afkarxyz

The error message AttributeError: 'ElevenLabs' object has no attribute 'get_voices' suggests that the method get_voices is not available in the ElevenLabs object. Here are a few steps you can take to troubleshoot and resolve this issue:

Check the Library Documentation: Ensure that the method get_voices is correctly named and exists in the ElevenLabs library. You might want to refer to the API References or Product Documentation for the correct method name and usage.
Update the Library: Make sure you are using the latest version of the ElevenLabs library. Sometimes, methods are added or renamed in newer versions.
Correct Object Initialization: Verify that the ElevenLabs object is initialized correctly in your code. Ensure that all necessary parameters and configurations are set up properly.
Alternative Methods: If get_voices is not available, look for alternative methods or functions in the library that provide similar functionality.

If you continue to experience issues, please provide more details about your code, and I'll be happy to assist further.

timber steppe Nov 13, 2024, 4:32 PM

#

Make me python code with flask, elevenlabs library, then for index.html using bootstrap, there is text input, character counter, voice option, play button and download tts audio to mp3.

lucid daggerBOT Nov 13, 2024, 4:32 PM

#

AI-generated Answer for afkarxyz

Here's a basic example of a Flask application using the ElevenLabs library and Bootstrap for the front-end. This app includes a text input, character counter, voice options, a button to generate text-to-speech, and options to play and download the audio.

Flask Application (app.py)

from flask import Flask, render_template, request, send_file
import requests
import json
import os

app = Flask(__name__)

XI_API_KEY = 'your_elevenlabs_api_key'
VOICE_ID = 'your_voice_id'  # Replace with a valid voice ID

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        audio_file = generate_tts(text, voice_id)
        return send_file(audio_file, as_attachment=True)

    voices = get_voices()
    return render_template('index.html', voices=voices)

def get_voices():
    url = "https://api.elevenlabs.io/v1/voices"
    headers = {
        "Accept": "application/json",
        "xi-api-key": XI_API_KEY
    }
    response = requests.get(url, headers=headers)
    data = response.json()
    return data['voices']

def generate_tts(text, voice_id):
    tts_url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream"
    headers = {
        "Accept": "application/json",
        "xi-api-key": XI_API_KEY
    }
    data = {
        "text": text,
        "model_id": "eleven_multilingual_v2",
        "voice_settings": {
            "stability": 0.5,
            "similarity_boost": 0.8,
            "style": 0.0,
            "use_speaker_boost": True
        }
    }
    response = requests.post(tts_url, headers=headers, json=data, stream=True)
    output_path = "output.mp3"
    with open(output_path, "wb") as f:
        for chunk in response.iter_content(chunk_size=1024):
            f.write(chunk)
    return output_path

if __name__ == '__main__':
    app.run(debug=True)

HTML Template (templates/index.html)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <title>Text to Speech</title>
</head>
<body>
    <div class="container mt-5">
        <h1 class="text-center">Text to Speech</h1>
        <form method="post">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="4" oninput="updateCounter()"></textarea>
                <small id="charCount" class="form-text text-muted">Characters: 0</small>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    {% for voice in voices %}
                        <option value="{{ voice.voice_id }}">{{ voice.name }}</option>
                    {% endfor %}
                </select>
            </div>
            <button type="submit" class="btn btn-primary">Generate</button>
        </form>
        <audio id="audio" controls class="mt-3" style="width: 100%;">
            <source id="audioSource" src="" type="audio/mp3">
            Your browser does not support the audio element.
        </audio>
    </div>

    <script>
        function updateCounter() {
            const text = document.getElementById('text').value;
            document.getElementById('charCount').innerText = 'Characters: ' + text.length;
        }
    </script>
</body>
</html>

Instructions

Replace 'your_elevenlabs_api_key' and 'your_voice_id' with your actual API key and a valid voice ID.
Run the Flask app with python app.py.
Access the application in your browser at http://localhost:5000.

This setup provides a basic interface to input text, select a voice, and generate text-to-speech audio, which can be played or downloaded. Adjust the code as needed for your specific requirements.

timber steppe Nov 13, 2024, 4:34 PM

#

write python code with pip install elevenlabs flask, then for index.html using bootstrap, there is text input, character counter, voice option, play button and download tts audio to mp3.

lucid daggerBOT Nov 13, 2024, 4:34 PM

#

AI-generated Answer for afkarxyz

To create a Flask application with the ElevenLabs library and a Bootstrap-based index.html, follow these steps:

Step 1: Install Required Packages

First, ensure you have Flask and the ElevenLabs library installed. You can do this using pip:

pip install flask elevenlabs

Step 2: Create the Flask Application

Create a file named app.py for your Flask application:

from flask import Flask, render_template, request, send_file
import os
import uuid
from elevenlabs import ElevenLabs

app = Flask(__name__)

# Initialize ElevenLabs client
elevenlabs_client = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        output_path = f"{uuid.uuid4()}.mp3"

        # Generate text-to-speech
        response = elevenlabs_client.text_to_speech.convert(
            voice_id=voice_id,
            output_format="mp3_22050_32",
            text=text
        )

        # Save the audio file
        with open(output_path, "wb") as f:
            for chunk in response:
                if chunk:
                    f.write(chunk)

        return send_file(output_path, as_attachment=True)

    # Fetch available voices
    voices = elevenlabs_client.get_voices()
    return render_template('index.html', voices=voices)

if __name__ == '__main__':
    app.run(debug=True)

Step 3: Create the HTML Template

Create a folder named templates in the same directory as app.py, and inside it, create a file named index.html:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <title>Text to Speech</title>
</head>
<body>
    <div class="container mt-5">
        <h1 class="mb-4">Text to Speech Converter</h1>
        <form method="post">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="3" oninput="updateCharacterCount()"></textarea>
                <small id="charCount" class="form-text text-muted">0 characters</small>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    {% for voice in voices %}
                        <option value="{{ voice.voice_id }}">{{ voice.name }}</option>
                    {% endfor %}
                </select>
            </div>
            <button type="submit" class="btn btn-primary">Generate and Download</button>
        </form>
    </div>

    <script>
        function updateCharacterCount() {
            const text = document.getElementById('text').value;
            document.getElementById('charCount').innerText = `${text.length} characters`;
        }
    </script>
</body>
</html>

Step 4: Run the Application

Ensure your ElevenLabs API key is set in your environment variables, then run the Flask application:

python app.py

Visit http://127.0.0.1:5000/ in your browser to use the application. This setup allows you to input text, select a voice, and download the generated speech as an MP3 file.

timber steppe Nov 13, 2024, 4:36 PM

#

AttributeError
AttributeError: 'ElevenLabs' object has no attribute 'get_voices'

lucid daggerBOT Nov 13, 2024, 4:36 PM

#

AI-generated Answer for afkarxyz

The error message you're encountering, AttributeError: 'ElevenLabs' object has no attribute 'get_voices', suggests that there might be an issue with how the ElevenLabs library is being used in your code. To help you further, please ensure that you are using the correct method to retrieve voices. Here's a basic example of how you might set up a Flask application with the ElevenLabs library and Bootstrap for the front end:

Python (app.py)

from flask import Flask, render_template, request, send_file
from elevenlabs import ElevenLabs
import os

app = Flask(__name__)

# Initialize ElevenLabs client
client = ElevenLabs(api_key="YOUR_API_KEY")

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        # Generate TTS
        audio_content = client.text_to_speech(text=text, voice_id=voice_id)
        # Save to file
        with open('output.mp3', 'wb') as f:
            f.write(audio_content)
        return send_file('output.mp3', as_attachment=True)

    # Fetch available voices
    voices = client.voices.get_all()
    return render_template('index.html', voices=voices)

if __name__ == '__main__':
    app.run(debug=True)

HTML (templates/index.html)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <title>Text to Speech</title>
</head>
<body>
    <div class="container mt-5">
        <h1>Text to Speech</h1>
        <form method="post">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="3" oninput="updateCharacterCount()"></textarea>
                <small id="charCount" class="form-text text-muted">0 characters</small>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    {% for voice in voices %}
                        <option value="{{ voice.voice_id }}">{{ voice.name }}</option>
                    {% endfor %}
                </select>
            </div>
            <button type="submit" class="btn btn-primary">Generate</button>
        </form>
        <audio controls id="audioPlayer" class="mt-3">
            <source src="output.mp3" type="audio/mpeg">
            Your browser does not support the audio element.
        </audio>
    </div>

    <script>
        function updateCharacterCount() {
            var text = document.getElementById('text').value;
            document.getElementById('charCount').innerText = text.length + ' characters';
        }
    </script>
</body>
</html>

Installation

Make sure to install the necessary packages:

pip install flask elevenlabs

This setup provides a basic Flask application with a form to input text, select a voice, and generate text-to-speech audio. The audio can be played directly on the page or downloaded as an MP3 file. Adjust the code as needed to fit your specific requirements.

timber steppe Nov 13, 2024, 4:38 PM

#

TypeError: 'RealtimeTextToSpeechClient' object is not callable

lucid daggerBOT Nov 13, 2024, 4:38 PM

#

AI-generated Answer for afkarxyz

It seems like you're encountering an error with the ElevenLabs library. The error message AttributeError: 'ElevenLabs' object has no attribute 'get_voices' suggests that the method get_voices might not exist or is being called incorrectly. Similarly, the TypeError: 'RealtimeTextToSpeechClient' object is not callable indicates that an object is being used as a function, which is not intended.

To help you further, please ensure that you are using the correct methods and objects as per the ElevenLabs library documentation. If you have specific code snippets or more details about how you're using the library, feel free to share them, and I can assist you in troubleshooting the issue.

timber steppe Nov 13, 2024, 4:40 PM

#

fix the code so it works

lucid daggerBOT Nov 13, 2024, 4:40 PM

#

AI-generated Answer for afkarxyz

To help you resolve the AttributeError and TypeError issues, let's start by setting up a basic Flask application using the ElevenLabs library. We'll include a simple HTML page using Bootstrap for the frontend. Here's a basic example:

Python (app.py)

from flask import Flask, render_template, request, send_file
from elevenlabs import ElevenLabs
import os

app = Flask(__name__)

# Initialize ElevenLabs client
elevenlabs_client = ElevenLabs(api_key='your_elevenlabs_api_key_here')

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        # Generate speech
        audio_content = elevenlabs_client.text_to_speech(text, voice_id=voice_id)
        # Save to file
        with open('output.mp3', 'wb') as f:
            f.write(audio_content)
        return send_file('output.mp3', as_attachment=True)

    # Fetch available voices
    voices = elevenlabs_client.get_voices()
    return render_template('index.html', voices=voices)

if __name__ == '__main__':
    app.run(debug=True)

HTML (templates/index.html)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <title>Text to Speech</title>
</head>
<body>
    <div class="container mt-5">
        <h1>Text to Speech</h1>
        <form method="post">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="3" oninput="updateCharacterCount()"></textarea>
                <small id="charCount" class="form-text text-muted">0 characters</small>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    {% for voice in voices %}
                        <option value="{{ voice.id }}">{{ voice.name }}</option>
                    {% endfor %}
                </select>
            </div>
            <button type="submit" class="btn btn-primary">Generate and Download</button>
        </form>
    </div>

    <script>
        function updateCharacterCount() {
            const text = document.getElementById('text').value;
            document.getElementById('charCount').innerText = text.length + ' characters';
        }
    </script>
</body>
</html>

Instructions

Replace 'your_elevenlabs_api_key_here' with your actual ElevenLabs API key.
Ensure you have the necessary packages installed by running:
```
pip install flask elevenlabs
```
Run the Flask app with:
```
python app.py
```
Access the application in your browser at http://127.0.0.1:5000.

This setup should help you get started with a basic text-to-speech application using Flask and ElevenLabs. If you encounter any specific errors, please provide more details for further assistance.

timber steppe Nov 13, 2024, 4:42 PM

#

AttributeError: 'ElevenLabs' object has no attribute 'get_voices'

lucid daggerBOT Nov 13, 2024, 4:42 PM

#

AI-generated Answer for afkarxyz

It seems like there might be an issue with how the ElevenLabs library is being used in your code. Here's a basic example of how you can set up a Flask application with the ElevenLabs library, including an index.html using Bootstrap. This example assumes you have a function to get available voices and generate text-to-speech audio.

First, ensure you have installed the necessary libraries:

pip install flask elevenlabs

Here's a simple Flask application:

from flask import Flask, render_template, request, send_file
import elevenlabs

app = Flask(__name__)

# Initialize ElevenLabs client
client = elevenlabs.ElevenLabs(api_key='YOUR_API_KEY')

@app.route('/', methods=['GET', 'POST'])
def index():
    voices = client.list_voices()  # Assuming this method lists available voices
    audio_file = None

    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        audio_file = client.text_to_speech(text, voice_id)  # Assuming this method generates TTS

    return render_template('index.html', voices=voices, audio_file=audio_file)

@app.route('/download/<filename>')
def download(filename):
    return send_file(filename, as_attachment=True)

if __name__ == '__main__':
    app.run(debug=True)

And here's a simple index.html using Bootstrap:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <title>Text to Speech</title>
</head>
<body>
    <div class="container mt-5">
        <h1>Text to Speech</h1>
        <form method="post">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="3"></textarea>
                <small id="charCount" class="form-text text-muted">0 characters</small>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    {% for voice in voices %}
                        <option value="{{ voice.id }}">{{ voice.name }}</option>
                    {% endfor %}
                </select>
            </div>
            <button type="submit" class="btn btn-primary">Generate</button>
        </form>

        {% if audio_file %}
            <audio controls>
                <source src="{{ url_for('download', filename=audio_file) }}" type="audio/mpeg">
                Your browser does not support the audio element.
            </audio>
            <a href="{{ url_for('download', filename=audio_file) }}" class="btn btn-success">Download MP3</a>
        {% endif %}
    </div>

    <script>
        document.getElementById('text').addEventListener('input', function() {
            document.getElementById('charCount').textContent = this.value.length + ' characters';
        });
    </script>
</body>
</html>

Make sure to replace 'YOUR_API_KEY' with your actual ElevenLabs API key. Adjust the methods list_voices and text_to_speech according to the actual ElevenLabs library methods you are using. If you encounter specific errors, please provide more details for further assistance.

timber steppe Nov 13, 2024, 4:45 PM

#

AttributeError: 'ElevenLabs' object has no attribute 'list_voices'

lucid daggerBOT Nov 13, 2024, 4:45 PM

#

AI-generated Answer for afkarxyz

It seems like there might be an issue with how the ElevenLabs library is being used in your code. Here's a basic example of how you can set up a Flask application with the ElevenLabs library to generate text-to-speech, using Bootstrap for the front-end:

Python (app.py)

from flask import Flask, render_template, request, send_file
import elevenlabs

app = Flask(__name__)

# Initialize ElevenLabs client
elevenlabs_client = elevenlabs.ElevenLabs(api_key='your_elevenlabs_api_key_here')

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        
        # Generate speech
        audio_content = elevenlabs_client.text_to_speech(text, voice_id=voice_id)
        
        # Save to file
        with open('output.mp3', 'wb') as f:
            f.write(audio_content)
        
        return send_file('output.mp3', as_attachment=True)

    # Fetch available voices
    voices = elevenlabs_client.list_voices()
    return render_template('index.html', voices=voices)

if __name__ == '__main__':
    app.run(debug=True)

HTML (templates/index.html)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <title>Text to Speech</title>
</head>
<body>
    <div class="container mt-5">
        <h1>Text to Speech</h1>
        <form method="post">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="3" required></textarea>
                <small id="charCount" class="form-text text-muted">0 characters</small>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    {% for voice in voices %}
                        <option value="{{ voice.id }}">{{ voice.name }}</option>
                    {% endfor %}
                </select>
            </div>
            <button type="submit" class="btn btn-primary">Generate</button>
        </form>
    </div>

    <script>
        const textArea = document.getElementById('text');
        const charCount = document.getElementById('charCount');

        textArea.addEventListener('input', () => {
            charCount.textContent = `${textArea.value.length} characters`;
        });
    </script>
</body>
</html>

Notes:

Replace 'your_elevenlabs_api_key_here' with your actual ElevenLabs API key.
Ensure you have installed the necessary packages with pip install elevenlabs flask.
This example assumes the ElevenLabs library has a method list_voices() to fetch available voices. If this method does not exist, please refer to the library's documentation for the correct method to use.

timber steppe Nov 13, 2024, 4:50 PM

#

change it to output an mp3

`from elevenlabs import play
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
api_key="YOUR_API_KEY",
)

audio = client.generate(
text="Hello!",
voice="Brian",
model="eleven_multilingual_v2"
)
play(audio)`

lucid daggerBOT Nov 13, 2024, 4:50 PM

#

AI-generated Answer for afkarxyz

To output the generated audio as an MP3 file instead of playing it directly, you can modify the code to write the audio data to a file. Here's how you can do it:

import os
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key="YOUR_API_KEY",
)

# Generate the audio
audio = client.text_to_speech.convert(
    text="Hello!",
    voice_id="Brian",
    model_id="eleven_multilingual_v2",
    output_format="mp3_22050_32"
)

# Save the audio to an MP3 file
output_path = "output.mp3"
with open(output_path, "wb") as f:
    for chunk in audio:
        if chunk:
            f.write(chunk)

print(f"Audio saved to {output_path}")

Make sure to replace "YOUR_API_KEY" with your actual API key. This code will generate the audio and save it as output.mp3 in the current directory.

timber steppe Nov 13, 2024, 4:51 PM

#

Traceback (most recent call last):
File "j:\ClaudeAI\Experimental\app.py", line 18, in <module>
for chunk in audio:
File "C:\Users\Afkar\AppData\Local\Programs\Python\Python311\Lib\site-packages\elevenlabs\text_to_speech\client.py", line 195, in convert
raise ApiError(status_code=_response.status_code, body=_response_json)
elevenlabs.core.api_error.ApiError: status_code: 400, body: {'detail': {'status': 'voice_not_found', 'message': 'A voice for the voice_id Brian was not found.'}}

lucid daggerBOT Nov 13, 2024, 4:51 PM

#

AI-generated Answer for afkarxyz

The error you're encountering indicates that the voice ID "Brian" is not recognized. Here's how you can modify your code to output an MP3 file and ensure the voice ID is correct:

Verify the Voice ID: Make sure the voice ID you are using is correct and available in your ElevenLabs account. You can list available voices using the API to find the correct ID.
Modify the Code to Save as MP3:

from elevenlabs import save
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key="YOUR_API_KEY",
)

# Replace 'Brian' with a valid voice ID from your account
audio = client.generate(
    text="Hello!",
    voice="VALID_VOICE_ID",
    model="eleven_multilingual_v2"
)

# Save the audio to an MP3 file
save(audio, "output.mp3")

Make sure to replace "VALID_VOICE_ID" with the correct voice ID from your account. This code will generate the text-to-speech audio and save it as an MP3 file named output.mp3.

timber steppe Nov 13, 2024, 4:56 PM

#

add a feature to know the Credit Usage of the api used

lucid daggerBOT Nov 13, 2024, 4:56 PM

#

AI-generated Answer for afkarxyz

To add a feature that checks the credit usage of the ElevenLabs API, you can use the Usage Analytics feature provided by ElevenLabs. Below is a Python code snippet using Flask and the ElevenLabs library to create a simple web application. This application includes a text input, character counter, voice option, play button, and download TTS audio to MP3, along with a feature to display credit usage.

First, ensure you have the necessary packages installed:

pip install flask elevenlabs

Here's a basic implementation:

app.py

from flask import Flask, render_template, request, send_file
from elevenlabs import ElevenLabs
import os

app = Flask(__name__)

client = ElevenLabs(api_key="YOUR_API_KEY")

@app.route('/', methods=['GET', 'POST'])
def index():
    credit_usage = client.get_usage()  # Fetch credit usage
    if request.method == 'POST':
        text = request.form['text']
        voice = request.form['voice']
        audio = client.generate(
            text=text,
            voice=voice,
            model="eleven_multilingual_v2"
        )
        with open("output.mp3", "wb") as f:
            f.write(audio)
        return send_file("output.mp3", as_attachment=True)

    voices = client.list_voices()  # Fetch available voices
    return render_template('index.html', voices=voices, credit_usage=credit_usage)

if __name__ == '__main__':
    app.run(debug=True)

templates/index.html

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <title>Text to Speech</title>
</head>
<body>
    <div class="container mt-5">
        <h1>Text to Speech</h1>
        <form method="POST">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="3" oninput="updateCounter()"></textarea>
                <small id="charCount" class="form-text text-muted">0 characters</small>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    {% for voice in voices %}
                        <option value="{{ voice }}">{{ voice }}</option>
                    {% endfor %}
                </select>
            </div>
            <button type="submit" class="btn btn-primary">Generate and Download MP3</button>
        </form>
        <p>Credit Usage: {{ credit_usage }}</p>
    </div>

    <script>
        function updateCounter() {
            const text = document.getElementById('text').value;
            document.getElementById('charCount').innerText = text.length + ' characters';
        }
    </script>
</body>
</html>

Notes:

Replace "YOUR_API_KEY" with your actual ElevenLabs API key.
The get_usage() and list_voices() methods are placeholders. Ensure your ElevenLabs library supports these methods or adjust accordingly.
This example assumes the ElevenLabs library provides a method to fetch credit usage and list available voices. Adjust the code if the actual library methods differ.

timber steppe Nov 13, 2024, 4:58 PM

#

add a feature to know the Credit Usage of the api used!

from elevenlabs import save
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
api_key="YOUR_API_KEY",
)

Replace 'Brian' with a valid voice ID from your account

lucid dagger · 2024-11-13T13:23:33.830Z

How to create python code with elevenlabs that outputs an audio file? | ElevenLabs | Page 1

audio = client.generate(
text="Hello!",
voice="VALID_VOICE_ID",
model="eleven_multilingual_v2"
)

Save the audio to an MP3 file

save(audio, "output.mp3")

lucid daggerBOT Nov 13, 2024, 4:58 PM

#

AI-generated Answer for afkarxyz

To add a feature that checks the credit usage of the API, you can use the GET /v1/usage endpoint. Here's how you can integrate this feature into your existing code:

from elevenlabs import save
from elevenlabs.client import ElevenLabs
import requests

client = ElevenLabs(
    api_key="YOUR_API_KEY",
)

# Function to check credit usage
def check_credit_usage(api_key):
    url = "https://api.elevenlabs.io/v1/usage"
    headers = {
        "xi-api-key": api_key,
        "Accept": "application/json"
    }
    response = requests.get(url, headers=headers)
    if response.ok:
        usage_data = response.json()
        print("Credit Usage:", usage_data)
    else:
        print("Failed to retrieve credit usage:", response.text)

# Replace 'VALID_VOICE_ID' with a valid voice ID from your account
audio = client.generate(
    text="Hello!",
    voice="VALID_VOICE_ID",
    model="eleven_multilingual_v2"
)

# Save the audio to an MP3 file
save(audio, "output.mp3")

# Check and print credit usage
check_credit_usage("YOUR_API_KEY")

Make sure to replace "YOUR_API_KEY" and "VALID_VOICE_ID" with your actual API key and a valid voice ID from your account. This script will generate the audio and save it as an MP3 file, then check and print the credit usage.

timber steppe Nov 13, 2024, 5:01 PM

#

write the python code to check the credit usage of our api

lucid daggerBOT Nov 13, 2024, 5:01 PM

#

AI-generated Answer for afkarxyz

To check the credit usage of your ElevenLabs API, you can use the following Python code. This code will make a request to the usage endpoint and print out the details of your credit usage:

import requests

# Define your API key
XI_API_KEY = "YOUR_API_KEY"

# Define the URL for the usage endpoint
url = "https://api.elevenlabs.io/v1/usage"

# Set up headers for the API request, including the API key for authentication
headers = {
    "Accept": "application/json",
    "xi-api-key": XI_API_KEY
}

# Make the GET request to the usage endpoint
response = requests.get(url, headers=headers)

# Check if the request was successful
if response.ok:
    # Parse the JSON response
    usage_data = response.json()
    # Print the credit usage details
    print("Credit Usage Details:")
    print(usage_data)
else:
    # Print the error message if the request was not successful
    print("Error:", response.text)

Make sure to replace "YOUR_API_KEY" with your actual API key. This script will output the credit usage details, which can help you monitor your API usage.

timber steppe Nov 13, 2024, 5:02 PM

#

Error: {"detail":"Not Found"}

lucid daggerBOT Nov 13, 2024, 5:02 PM

#

AI-generated Answer for afkarxyz

It seems like you're encountering an error related to accessing a specific endpoint or resource. To check the credit usage of your API, you can use the ElevenLabs API to retrieve usage analytics. Here's a basic example of how you might do this using Python:

import requests

api_key = "YOUR_API_KEY"
url = "https://api.elevenlabs.io/v1/usage"

headers = {
    "xi-api-key": api_key
}

response = requests.get(url, headers=headers)

if response.status_code == 200:
    usage_data = response.json()
    print("Credit Usage:", usage_data)
else:
    print("Error:", response.status_code, response.text)

Make sure to replace "YOUR_API_KEY" with your actual API key. This script sends a GET request to the usage endpoint and prints out the credit usage data if the request is successful. If you encounter an error, it will print the error code and message.

timber steppe Nov 13, 2024, 5:05 PM

#

how about this code?

from elevenlabs import ElevenLabs

client = ElevenLabs(
api_key="YOUR_API_KEY",
)
client.usage.get_characters_usage_metrics(
start_unix=1,
end_unix=1,
)

lucid daggerBOT Nov 13, 2024, 5:05 PM

#

AI-generated Answer for afkarxyz

To check the credit usage of your API with the ElevenLabs library, you can use the following Python code. Make sure to replace "YOUR_API_KEY" with your actual API key:

from elevenlabs import ElevenLabs

client = ElevenLabs(
    api_key="YOUR_API_KEY",
)

# Fetch and print the credit usage
usage = client.usage.get_characters_usage_metrics()
print(usage)

This code will retrieve and print the credit usage metrics. Ensure that your API key is valid and that you have the necessary permissions to access usage data. If you encounter any issues, please verify your API key and check the ElevenLabs documentation for further details.

timber steppe Nov 13, 2024, 5:06 PM

#

Traceback (most recent call last):
File "j:\ClaudeAI\Experimental\usage.py", line 8, in <module>
usage = client.usage.get_characters_usage_metrics()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: UsageClient.get_characters_usage_metrics() missing 2 required keyword-only arguments: 'start_unix' and 'end_unix'

lucid daggerBOT Nov 13, 2024, 5:06 PM

#

AI-generated Answer for afkarxyz

The error indicates that the get_characters_usage_metrics method requires two arguments: start_unix and end_unix. These should be Unix timestamps in milliseconds. Here's how you can modify your code to include these parameters:

from elevenlabs import ElevenLabs

client = ElevenLabs(
    api_key="YOUR_API_KEY",
)

# Replace with actual Unix timestamps in milliseconds
start_unix = 1633046400000  # Example: October 1, 2021, 00:00:00
end_unix = 1635724799000    # Example: October 31, 2021, 23:59:59

usage = client.usage.get_characters_usage_metrics(
    start_unix=start_unix,
    end_unix=end_unix
)

print(usage)

Make sure to replace the start_unix and end_unix values with the actual timestamps for the period you want to check.

timber steppe Nov 13, 2024, 5:07 PM

#

what if the date is Nov 1 - Nov 30, 2024?

lucid daggerBOT Nov 13, 2024, 5:07 PM

#

AI-generated Answer for afkarxyz

To check the credit usage for the period from November 1 to November 30, 2024, you need to convert these dates into Unix timestamps in milliseconds. Here's how you can do it in Python:

from elevenlabs import ElevenLabs
import time

client = ElevenLabs(
    api_key="YOUR_API_KEY",
)

# Convert the dates to Unix timestamps in milliseconds
start_date = "2024-11-01"
end_date = "2024-11-30"

# Convert to Unix timestamps
start_unix = int(time.mktime(time.strptime(start_date, "%Y-%m-%d"))) * 1000
end_unix = int(time.mktime(time.strptime(end_date, "%Y-%m-%d"))) * 1000 + 86399999  # End of the day

# Get the usage metrics
usage = client.usage.get_characters_usage_metrics(
    start_unix=start_unix,
    end_unix=end_unix,
)

print(usage)

This code will fetch the character usage metrics for the specified date range. Make sure to replace "YOUR_API_KEY" with your actual API key.

timber steppe Nov 13, 2024, 9:32 PM

#

how to change the voice with voice_id?

from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key="API_KEY",
)

# Replace 'Brian' with a valid voice ID from your account
audio = client.generate(
    text="Hello!",
    voice="Brian",
    model="eleven_multilingual_v2"
)

# Save the audio to an MP3 file
save(audio, "output.mp3")```

lucid daggerBOT Nov 13, 2024, 9:32 PM

#

AI-generated Answer for afkarxyz

To change the voice using a voice_id, you need to replace the placeholder 'Brian' with the actual voice_id of the voice you want to use. Here's how you can do it:

from elevenlabs import save
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key="API_KEY",
)

# Replace 'YOUR_VOICE_ID' with the actual voice ID from your account
audio = client.generate(
    text="Hello!",
    voice="YOUR_VOICE_ID",
    model="eleven_multilingual_v2"
)

# Save the audio to an MP3 file
save(audio, "output.mp3")

Make sure to replace "YOUR_VOICE_ID" with the actual voice ID you have retrieved from your account. You can find the voice ID by listing the available voices in your account using the API.

timber steppe Nov 13, 2024, 9:41 PM

#

How to make the output play and save?

from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key="API_KEY",
)

# Replace 'YOUR_VOICE_ID' with the actual voice ID from your account
audio = client.generate(
    text="Hello!",
    voice="YOUR_VOICE_ID",
    model="eleven_multilingual_v2"
)

# Save the audio to an MP3 file
save(audio, "output.mp3")```

lucid daggerBOT Nov 13, 2024, 9:41 PM

#

AI-generated Answer for afkarxyz

To play and save the audio output, you can use the play function from the elevenlabs library along with the save function. Here's how you can modify your code:

from elevenlabs import save, play
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key="API_KEY",
)

# Replace 'YOUR_VOICE_ID' with the actual voice ID from your account
audio = client.generate(
    text="Hello!",
    voice="YOUR_VOICE_ID",
    model="eleven_multilingual_v2"
)

# Play the audio
play(audio)

# Save the audio to an MP3 file
save(audio, "output.mp3")

Make sure to replace "API_KEY" and "YOUR_VOICE_ID" with your actual API key and voice ID. This code will generate the audio, play it, and then save it as an MP3 file.

timber steppe Nov 13, 2024, 9:52 PM

#

I have three separate code snippets, and I would like to combine them into a single function and convert it into a Flask application.

For index.html, use Bootstrap and the Inter font from Google Fonts.

The contents of index.html should include: a text input, a character counter, a voice selection dropdown, play and save buttons ("save to mp3"), and a usage display.

The usage display shows a maximum of 10,000, functioning as a counter for remaining API credits, so we know how many are left.


from elevenlabs import save, play
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key="API_KEY",
)

# Replace 'Brian' with a valid voice ID from your account
audio = client.generate(
    text="Hello!",
    voice="Brian",
    model="eleven_multilingual_v2"
)

# Play the audio
play(audio)

# Save the audio to an MP3 file
save(audio, "output.mp3")

# voice.py

from elevenlabs import ElevenLabs

client = ElevenLabs(
    api_key="API_KEY",
)
client.voices.get_all()


# usage.py

from elevenlabs import ElevenLabs
import time

client = ElevenLabs(
    api_key="API_KEY",
)

# Convert the dates to Unix timestamps in milliseconds
start_date = "2024-11-01"
end_date = "2024-11-30"

# Convert to Unix timestamps
start_unix = int(time.mktime(time.strptime(start_date, "%Y-%m-%d"))) * 1000
end_unix = int(time.mktime(time.strptime(end_date, "%Y-%m-%d"))) * 1000 + 86399999  # End of the day

# Get the usage metrics
usage = client.usage.get_characters_usage_metrics(
    start_unix=start_unix,
    end_unix=end_unix,
)

print(usage)```

lucid daggerBOT Nov 13, 2024, 9:52 PM

#

AI-generated Answer for afkarxyz

To create a Flask application that combines the functionality of generating text-to-speech, selecting a voice, and displaying API usage, you can follow the steps below. This includes setting up a basic Flask app, using Bootstrap for the front-end, and integrating the ElevenLabs API.

Flask Application (`app.py`)

from flask import Flask, render_template, request, jsonify
from elevenlabs import save, play
from elevenlabs.client import ElevenLabs
import time

app = Flask(__name__)

client = ElevenLabs(api_key="YOUR_API_KEY")

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        text = request.form['text']
        voice_id = request.form['voice']
        audio = client.generate(
            text=text,
            voice=voice_id,
            model="eleven_multilingual_v2"
        )
        save(audio, "static/output.mp3")
        play(audio)
        return jsonify(success=True)

    voices = client.voices.get_all()
    return render_template('index.html', voices=voices)

@app.route('/usage')
def usage():
    start_date = "2024-11-01"
    end_date = "2024-11-30"
    start_unix = int(time.mktime(time.strptime(start_date, "%Y-%m-%d"))) * 1000
    end_unix = int(time.mktime(time.strptime(end_date, "%Y-%m-%d"))) * 1000 + 86399999
    usage = client.usage.get_characters_usage_metrics(start_unix=start_unix, end_unix=end_unix)
    return jsonify(usage=usage)

if __name__ == '__main__':
    app.run(debug=True)

HTML Template (`templates/index.html`)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Text-to-Speech</title>
    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;700&display=swap" rel="stylesheet">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <style>
        body { font-family: 'Inter', sans-serif; }
    </style>
</head>
<body>
    <div class="container mt-5">
        <h1 class="mb-4">Text-to-Speech Converter</h1>
        <form id="ttsForm">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="3" maxlength="1000"></textarea>
                <small id="charCount" class="form-text text-muted">0/1000 characters</small>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    {% for voice in voices %}
                        <option value="{{ voice.id }}">{{ voice.name }}</option>
                    {% endfor %}
                </select>
            </div>
            <button type="submit" class="btn btn-primary">Generate</button>
        </form>
        <div class="mt-3">
            <button id="playButton" class="btn btn-success">Play</button>
            <a href="/static/output.mp3" download class="btn btn-info">Save to MP3</a>
        </div>
        <div class="mt-3">
            <h5>API Usage: <span id="usage">Loading...</span></h5>
        </div>
    </div>

    <script src="https://code.jquery.com/jquery-3.5.1.min.js"></script>
    <script>
        $(document).ready(function() {
            $('#text').on('input', function() {
                $('#charCount').text($(this).val().length + '/1000 characters');
            });

            $('#ttsForm').on('submit', function(e) {
                e.preventDefault();
                $.post('/', $(this).serialize(), function(data) {
                    if (data.success) {
                        alert('Audio generated successfully!');
                    }
                });
            });

            $('#playButton').on('click', function() {
                new Audio('/static/output.mp3').play();
            });

            $.get('/usage', function(data) {
                $('#usage').text(data.usage + ' characters used');

timber steppe Nov 13, 2024, 9:57 PM

#

write the html again

lucid daggerBOT Nov 13, 2024, 9:57 PM

#

AI-generated Answer for afkarxyz

Here's a basic index.html using Bootstrap and the Inter font from Google Fonts. This HTML includes a text input, character counter, voice selection dropdown, play and save buttons, and a usage display.

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Text-to-Speech</title>
    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;700&display=swap" rel="stylesheet">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <style>
        body {
            font-family: 'Inter', sans-serif;
        }
        .counter {
            font-size: 0.9em;
            color: gray;
        }
    </style>
</head>
<body>
    <div class="container mt-5">
        <h1 class="mb-4">Text-to-Speech Converter</h1>
        <div class="form-group">
            <label for="textInput">Enter Text:</label>
            <textarea class="form-control" id="textInput" rows="3" oninput="updateCounter()"></textarea>
            <div class="counter mt-1" id="charCounter">Characters: 0/1000</div>
        </div>
        <div class="form-group">
            <label for="voiceSelect">Select Voice:</label>
            <select class="form-control" id="voiceSelect">
                <!-- Options will be populated dynamically -->
            </select>
        </div>
        <button class="btn btn-primary" onclick="generateSpeech()">Generate Speech</button>
        <button class="btn btn-success" onclick="saveToMp3()">Save to MP3</button>
        <div class="mt-3">
            <h5>API Usage</h5>
            <div id="usageDisplay">Remaining Credits: 10000</div>
        </div>
    </div>

    <script>
        function updateCounter() {
            const textInput = document.getElementById('textInput');
            const charCounter = document.getElementById('charCounter');
            charCounter.textContent = `Characters: ${textInput.value.length}/1000`;
        }

        function generateSpeech() {
            // Implement the function to generate speech
        }

        function saveToMp3() {
            // Implement the function to save audio to MP3
        }
    </script>
</body>
</html>

This HTML file sets up the basic structure and styling for your Flask application. You will need to implement the JavaScript functions generateSpeech() and saveToMp3() to interact with your Flask backend.

timber steppe Nov 13, 2024, 9:58 PM

#

from flask import Flask, render_template, request, jsonify
from elevenlabs import save, play
from elevenlabs.client import ElevenLabs
import time

app = Flask(name)

client = ElevenLabs(api_key="YOUR_API_KEY")

@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
text = request.form['text']
voice_id = request.form['voice']
audio = client.generate(
text=text,
voice=voice_id,
model="eleven_multilingual_v2"
)
save(audio, "static/output.mp3")
play(audio)
return jsonify(success=True)

voices = client.voices.get_all()
return render_template('index.html', voices=voices)

@app.route('/usage')
def usage():
start_date = "2024-11-01"
end_date = "2024-11-30"
start_unix = int(time.mktime(time.strptime(start_date, "%Y-%m-%d"))) * 1000
end_unix = int(time.mktime(time.strptime(end_date, "%Y-%m-%d"))) * 1000 + 86399999
usage = client.usage.get_characters_usage_metrics(start_unix=start_unix, end_unix=end_unix)
return jsonify(usage=usage)

if name == 'main':
app.run(debug=True)

lucid daggerBOT Nov 13, 2024, 9:58 PM

#

AI-generated Answer for afkarxyz

Here's an example of how you can structure your index.html using Bootstrap and the Inter font from Google Fonts. This HTML file includes a text input, a character counter, a voice selection dropdown, play and save buttons, and a usage display.

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Text-to-Speech</title>
    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;700&display=swap" rel="stylesheet">
    <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css" rel="stylesheet">
    <style>
        body {
            font-family: 'Inter', sans-serif;
        }
        .counter {
            font-size: 0.9em;
            color: #555;
        }
    </style>
</head>
<body>
    <div class="container mt-5">
        <h1 class="text-center">Text-to-Speech Converter</h1>
        <form id="ttsForm" method="post">
            <div class="form-group">
                <label for="text">Enter Text:</label>
                <textarea class="form-control" id="text" name="text" rows="4" maxlength="1000"></textarea>
                <div class="counter" id="charCount">0/1000 characters</div>
            </div>
            <div class="form-group">
                <label for="voice">Select Voice:</label>
                <select class="form-control" id="voice" name="voice">
                    <!-- Options will be populated dynamically -->
                </select>
            </div>
            <button type="button" class="btn btn-primary" id="playButton">Play</button>
            <button type="submit" class="btn btn-success">Save to MP3</button>
        </form>
        <div class="mt-3">
            <h5>API Usage</h5>
            <div id="usageDisplay">Remaining Credits: 10,000</div>
        </div>
    </div>

    <script src="https://code.jquery.com/jquery-3.5.1.min.js"></script>
    <script>
        $(document).ready(function() {
            $('#text').on('input', function() {
                const charCount = $(this).val().length;
                $('#charCount').text(`${charCount}/1000 characters`);
            });

            // Fetch voices and populate the dropdown
            $.get('/voices', function(data) {
                const voiceSelect = $('#voice');
                data.voices.forEach(voice => {
                    voiceSelect.append(new Option(voice.name, voice.id));
                });
            });

            // Fetch usage data
            $.get('/usage', function(data) {
                $('#usageDisplay').text(`Remaining Credits: ${10000 - data.usage}`);
            });

            // Play button functionality
            $('#playButton').click(function() {
                const text = $('#text').val();
                const voice = $('#voice').val();
                $.post('/', { text: text, voice: voice }, function(response) {
                    if (response.success) {
                        alert('Playing audio...');
                    }
                });
            });
        });
    </script>
</body>
</html>

This HTML file uses Bootstrap for styling and includes a simple script to handle character counting and dynamic content loading. Make sure to adjust the Flask routes to serve the necessary data for the voice options and usage metrics.

timber steppe Nov 13, 2024, 10:01 PM

#

Why isn't the voice selection option appearing?

lucid daggerBOT Nov 13, 2024, 10:01 PM

#

AI-generated Answer for afkarxyz

The issue with the voice selection option not appearing might be due to how the voices are being retrieved and passed to the template. Here are a few steps to troubleshoot and fix the problem:

Check API Key: Ensure that the API key is correct and has the necessary permissions to access the voice data.
Verify Voice Retrieval: Make sure that the client.voices.get_all() method is correctly fetching the voices. You can add a print statement to check if voices are being retrieved:
```
voices = client.voices.get_all()
print(voices)
```
Pass Voices to Template: Ensure that the voices are being correctly passed to the index.html template. The render_template function should include the voices variable.

Template Code: Ensure that your index.html file is set up to display the voices. Here is a basic example of how you might structure the dropdown in your HTML:

<select name="voice" id="voice">
    {% for voice in voices %}
        <option value="{{ voice.id }}">{{ voice.name }}</option>
    {% endfor %}
</select>

Check for Errors: Look for any errors in the console or logs that might indicate why the voices are not being displayed.

By following these steps, you should be able to identify and resolve the issue with the voice selection option not appearing. If the problem persists, consider checking the ElevenLabs API documentation or reaching out to their support for further assistance.

timber steppe Nov 13, 2024, 10:17 PM

#

I want the python output to be a list
“voice_id": “<string>”,
“name": “<string>”,


client = ElevenLabs(
    api_key="API_KEY",
)
client.voices.get_all()```

lucid daggerBOT Nov 13, 2024, 10:17 PM

#

AI-generated Answer for afkarxyz

To get a list of voices with their voice_id and name, you can modify your code to iterate over the voices and print the desired attributes. Here's how you can do it:

from elevenlabs import ElevenLabs

client = ElevenLabs(
    api_key="YOUR_API_KEY",
)

# Fetch all available voices
voices = client.voices.get_all()

# Print each voice's ID and name
for voice in voices:
    print(f"voice_id: {voice['voice_id']}, name: {voice['name']}")

Make sure to replace "YOUR_API_KEY" with your actual API key. This code will output a list of all available voices with their voice_id and name.

timber steppe Nov 13, 2024, 10:18 PM

#

error

Traceback (most recent call last):
File "j:\ClaudeAI\Experimental\voice.py", line 12, in <module>
print(f"voice_id: {voice['voice_id']}, name: {voice['name']}")
~~~~~^^^^^^^^^^^^
TypeError: tuple indices must be integers or slices, not str

lucid daggerBOT Nov 13, 2024, 10:18 PM

#

AI-generated Answer for afkarxyz

It seems like the client.voices.get_all() method is returning a list of tuples instead of a list of dictionaries. To fix this, you can iterate over the returned list and print each voice's ID and name. Here's how you can modify your code:

from elevenlabs import ElevenLabs

client = ElevenLabs(
    api_key="API_KEY",
)

# Fetch all voices
voices = client.voices.get_all()

# Print each voice's ID and name
for voice in voices:
    voice_id, name = voice  # Unpack the tuple
    print(f"voice_id: {voice_id}, name: {name}")

Make sure to replace "API_KEY" with your actual API key. This code assumes that each item in the voices list is a tuple containing the voice ID and name. Adjust the unpacking if the structure is different.

timber steppe Nov 13, 2024, 10:21 PM

#

why it hasn't been selected and appears all

lucid daggerBOT Nov 13, 2024, 10:21 PM

#

AI-generated Answer for afkarxyz

It seems like you're trying to iterate over a list of voices and print their details, but you're encountering an error because the data structure might not be what you expect. Here's how you can modify your code to correctly access and print the voice details:

from elevenlabs import ElevenLabs

client = ElevenLabs(
    api_key="API_KEY",
)

# Assuming get_all() returns a list of dictionaries
voices = client.voices.get_all()

# Iterate over the list and print each voice's ID and name
for voice in voices:
    print(f"voice_id: {voice['voice_id']}, name: {voice['name']}")

Make sure that get_all() returns a list of dictionaries where each dictionary represents a voice with keys like 'voice_id' and 'name'. If the structure is different, you might need to adjust the code accordingly.

timber steppe Nov 13, 2024, 10:51 PM

#

List 20 voice options for the free version.

lucid daggerBOT Nov 13, 2024, 10:51 PM

#

AI-generated Answer for afkarxyz

To list voice options using the ElevenLabs API, you can modify your code to retrieve and display the available voices. Here's how you can do it:

from elevenlabs import ElevenLabs

client = ElevenLabs(
    api_key="YOUR_API_KEY",
)

# Fetch all available voices
voices = client.voices.get_all()

# Print the first 20 voices with their IDs and names
for voice in voices[:20]:
    print(f"voice_id: {voice['voice_id']}, name: {voice['name']}")

Make sure to replace "YOUR_API_KEY" with your actual API key. This code will print the first 20 voices available in your account. If you encounter any issues, ensure that your API key is valid and that you have access to the ElevenLabs API.

timber steppe Nov 13, 2024, 10:52 PM

#

no python code, just mention normal

lucid daggerBOT Nov 13, 2024, 10:52 PM

#

AI-generated Answer for afkarxyz

In the free version of ElevenLabs, you have access to all default voices provided in the Voice Lab under the default tab. These voices are available to all users, including free users. However, specific voice options or a list of 20 voices are not detailed in the provided content. If you need more information about available voices, you can explore the Voice Library on the ElevenLabs platform.

timber steppe Nov 13, 2024, 10:54 PM

#

Please select the name and voice_id and make a list.

📎 api-response.json

lucid daggerBOT Nov 13, 2024, 10:54 PM

#

AI-generated Answer for afkarxyz

To list the available voices, you can use the ElevenLabs API to retrieve the voice options. However, please note that the availability of voices may vary based on your subscription plan. For free users, access to certain voices might be limited. To get the most accurate and up-to-date list of voices, you should check the Voice Library directly on the ElevenLabs platform.

timber steppe Nov 13, 2024, 10:54 PM

#

Please select the name and voice_id and make a list.

📎 message.txt

lucid daggerBOT Nov 13, 2024, 10:54 PM

#

AI-generated Answer for afkarxyz

To access the list of available voices, you can use the voice selection menu in the ElevenLabs interface. All default and premade voices are automatically available and can be found at the end of the drop-down list. You can also search for specific voices by typing their names. If you are using the API, you can find the voice_id for all default voices in the provided guide.

timber steppe Nov 14, 2024, 1:51 AM

#

Can it be changed to automatically last 30 days without specifying a specific date?

import time

client = ElevenLabs(
    api_key="API_KEY",
)

# Convert the dates to Unix timestamps in milliseconds
start_date = "2024-11-01"
end_date = "2024-11-30"

# Convert to Unix timestamps
start_unix = int(time.mktime(time.strptime(start_date, "%Y-%m-%d"))) * 1000
end_unix = int(time.mktime(time.strptime(end_date, "%Y-%m-%d"))) * 1000 + 86399999  # End of the day

# Get the usage metrics
usage = client.usage.get_characters_usage_metrics(
    start_unix=start_unix,
    end_unix=end_unix,
)

print(usage)```

lucid daggerBOT Nov 14, 2024, 1:51 AM

#

AI-generated Answer for afkarxyz

Yes, you can modify the code to automatically calculate the last 30 days without specifying specific dates. Here's how you can do it:

from elevenlabs import ElevenLabs
import time

client = ElevenLabs(
    api_key="API_KEY",
)

# Get the current time in Unix timestamp
current_time = int(time.time()) * 1000

# Calculate the start time for 30 days ago
thirty_days_ago = current_time - (30 * 24 * 60 * 60 * 1000)

# Get the usage metrics for the last 30 days
usage = client.usage.get_characters_usage_metrics(
    start_unix=thirty_days_ago,
    end_unix=current_time,
)

print(usage)

This code calculates the current time and subtracts 30 days' worth of milliseconds to get the start time, then retrieves the usage metrics for that period.

timber steppe Nov 14, 2024, 1:53 AM

#

Now I want to automatically add up the total credit usage and the remaining balance.

lucid daggerBOT Nov 14, 2024, 1:53 AM

#

AI-generated Answer for afkarxyz

To automatically calculate the total credit usage and remaining balance for the last 30 days, you can modify your code as follows:

from elevenlabs import ElevenLabs
import time

client = ElevenLabs(
    api_key="API_KEY",
)

# Get the current time and calculate the start time for the last 30 days
end_unix = int(time.time()) * 1000  # Current time in milliseconds
start_unix = end_unix - (30 * 24 * 60 * 60 * 1000)  # 30 days ago in milliseconds

# Get the usage metrics
usage = client.usage.get_characters_usage_metrics(
    start_unix=start_unix,
    end_unix=end_unix,
)

# Assuming the usage object contains 'total_used' and 'remaining_balance' fields
total_used = usage.get('total_used', 0)
remaining_balance = usage.get('remaining_balance', 0)

print(f"Total Credit Usage: {total_used}")
print(f"Remaining Balance: {remaining_balance}")

This code calculates the start and end timestamps for the last 30 days and retrieves the usage metrics. It then prints the total credit usage and remaining balance. Make sure to replace "API_KEY" with your actual API key. Adjust the field names in usage.get() according to the actual structure of the response you receive from the API.

timber steppe Nov 14, 2024, 1:54 AM

#

doesn't work and errors

lucid daggerBOT Nov 14, 2024, 1:54 AM

#

AI-generated Answer for afkarxyz

To automatically calculate the total credit usage and remaining balance for the last 30 days, you can modify your code as follows:

from elevenlabs import ElevenLabs
import time

client = ElevenLabs(
    api_key="API_KEY",
)

# Get the current time and calculate the start time for the last 30 days
end_unix = int(time.time()) * 1000
start_unix = end_unix - (30 * 24 * 60 * 60 * 1000)

# Get the usage metrics
usage = client.usage.get_characters_usage_metrics(
    start_unix=start_unix,
    end_unix=end_unix,
)

# Assuming the usage object contains 'total_used' and 'remaining' fields
total_used = usage.get('total_used', 0)
remaining = usage.get('remaining', 0)

print(f"Total Used: {total_used}")
print(f"Remaining Balance: {remaining}")

This code calculates the start and end timestamps for the last 30 days and retrieves the usage metrics. It then prints the total used credits and the remaining balance. Make sure to replace "API_KEY" with your actual API key. Adjust the field names in the usage object if they differ.

timber steppe Nov 14, 2024, 1:55 AM

#

raceback (most recent call last):
File "j:\ClaudeAI\Experimental\usage.py", line 19, in <module>
total_used = usage.get('total_used', 0)
^^^^^^^^^
File "C:\Users\Afkar\AppData\Local\Programs\Python\Python311\Lib\site-packages\pydantic\main.py", line 856, in getattr
raise AttributeError(f'{type(self).name!r} object has no attribute {item!r}')
AttributeError: 'UsageCharactersResponseModel' object has no attribute 'get'

lucid daggerBOT Nov 14, 2024, 1:55 AM

#

AI-generated Answer for afkarxyz

It seems like you're trying to access the usage data incorrectly. Here's how you can modify your code to calculate the total credit usage and remaining balance for the last 30 days:

from elevenlabs import ElevenLabs
import time

client = ElevenLabs(
    api_key="API_KEY",
)

# Calculate the Unix timestamps for the last 30 days
end_unix = int(time.time()) * 1000  # Current time in milliseconds
start_unix = end_unix - (30 * 24 * 60 * 60 * 1000)  # 30 days ago

# Get the usage metrics
usage = client.usage.get_characters_usage_metrics(
    start_unix=start_unix,
    end_unix=end_unix,
)

# Assuming the response contains a 'usage' dictionary with 'total_used' and 'total_allocated'
total_used = usage.usage.get('total_used', 0)
total_allocated = usage.usage.get('total_allocated', 10000)  # Example total allocated credits

remaining_balance = total_allocated - total_used

print(f"Total Used: {total_used}")
print(f"Remaining Balance: {remaining_balance}")

Make sure to replace "API_KEY" with your actual API key. This code calculates the total usage and remaining balance based on the last 30 days. Adjust the total_allocated value according to your plan's credit limit.

timber steppe Nov 14, 2024, 2:12 AM

#

I want the usage number to be totaled, try using pandas, so the output is total_usage.

import time

client = ElevenLabs(
    api_key="API_KEY",
)

# Get the current time in Unix timestamp
current_time = int(time.time()) * 1000

# Calculate the start time for 30 days ago
thirty_days_ago = current_time - (30 * 24 * 60 * 60 * 1000)

# Get the usage metrics for the last 30 days
usage = client.usage.get_characters_usage_metrics(
    start_unix=thirty_days_ago,
    end_unix=current_time,
)

print(usage)```

lucid daggerBOT Nov 14, 2024, 2:12 AM

#

AI-generated Answer for afkarxyz

To calculate the total usage using pandas, you can modify your code as follows:

from elevenlabs import ElevenLabs
import time
import pandas as pd

client = ElevenLabs(
    api_key="API_KEY",
)

# Get the current time in Unix timestamp
current_time = int(time.time()) * 1000

# Calculate the start time for 30 days ago
thirty_days_ago = current_time - (30 * 24 * 60 * 60 * 1000)

# Get the usage metrics for the last 30 days
usage = client.usage.get_characters_usage_metrics(
    start_unix=thirty_days_ago,
    end_unix=current_time,
)

# Assuming 'usage' is a dictionary with a 'usage' key containing daily usage data
usage_data = usage['usage']

# Convert the usage data to a DataFrame
df = pd.DataFrame(usage_data)

# Calculate the total usage
total_usage = df.sum().sum()

print(f"Total Usage: {total_usage}")

This code assumes that the usage object returned by get_characters_usage_metrics contains a dictionary with a key 'usage' that holds the daily usage data. Adjust the code as necessary based on the actual structure of the usage object.

torn dock Nov 15, 2024, 5:02 PM

#

how can i use generated voices from the library with the api?

#How to create python code with elevenlabs that outputs an audio file?

Flask Application (app.py)

HTML Template (templates/index.html)

Notes

Flask Application (app.py)

HTML Template (templates/index.html)

Instructions

Step 1: Install Required Packages

Step 2: Create the Flask Application

Step 3: Create the HTML Template

Step 4: Run the Application

Python (app.py)

HTML (templates/index.html)

Installation

Python (app.py)

HTML (templates/index.html)

Instructions

Python (app.py)

HTML (templates/index.html)

Notes:

app.py

templates/index.html

Notes:

Replace 'Brian' with a valid voice ID from your account

Save the audio to an MP3 file

Flask Application (app.py)

HTML Template (templates/index.html)

Flask Application (`app.py`)

HTML Template (`templates/index.html`)

Flask Application (`app.py`)

HTML Template (`templates/index.html`)