@sage hearth how to write a openai chat completion function to read a list of values from a json file and run a prompt on it
#help
shell lion
sage hearthBOT
Hi @shell lion. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
Based on the information provided in the extracts, you can create a function to interact with OpenAI's Chat Completions API. However, the extracts do not provide a specific example of reading a list of values from a JSON file and running a prompt on it.
Here's a general example of how you can use the Chat Completions API:
from openai import OpenAI
import os
client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY", "<your OpenAI API key if not set as env var>"))
def get_chat_completion(
messages: list[dict[str, str]],
model: str = "gpt-3.5-turbo",
max_tokens=500,
temperature=1.0,
stop=None,
tools=None,
functions=None
) -> str:
params = {
'model': model,
'messages': messages,
'max_tokens': max_tokens,
'temperature': temperature,
'stop': stop,
'tools': tools,
}
if functions:
params['functions'] = functions
completion = client.chat.completions.create(**params)
return completion.choices[0].message
(Source: OpenAI Cookbook (https://cookbook.openai.com/examples/fine_tuning_for_function_calling#getting-baseline-function-calling-performance))
To read a list of values from a JSON file, you can use Python's built-in json module. However, how you would run a prompt on these values would depend on the specifics of your use case, which are not provided in the extracts.
For more detailed information on how to use the Chat Completions API, you can refer to the OpenAI Platform Documentation (https://platform.openai.com/docs/guides/text-generation).
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
sage hearthBOT
Let me check the knowledge base for you. One moment! :books:
I'm sorry, but the information extracts provided do not contain specific examples or instructions on how to create a Streamlit application that can search for dictionary keys semantically matching user input and print the corresponding values.
However, you can refer to the Streamlit Documentation (https://docs.streamlit.io/en/stable/) for general guidance on how to create Streamlit applications. For semantic search, you might want to look into natural language processing libraries or services, but again, the extracts do not provide specific information on this topic.
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
shell lion
@sage hearth I'VE JSON DATA FILE in this format {'key':'value'}. I want to create a web api that anyone can hit and input the name of key and it should output the value. write a STREAMLIT code that can search for any dict key name semantically matching user's input USING OPENAI API and prints value of it's corresponding key.
sage hearthBOT
Let me check the knowledge base for you. One moment! :books:
Based on the information provided in the extracts, you can use the OpenAI API to generate language embeddings for semantic search. However, the extracts do not provide a specific example of using these embeddings to search for dictionary keys in a JSON file.
Here's a general example of how you can use the OpenAI API to generate language embeddings:
from openai import OpenAI
import os
client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY", "<your OpenAI API key if not set as env var>"))
def get_embeddings(text: str, model: str = "text-davinci-002") -> dict:
params = {
'model': model,
'texts': [text],
}
embeddings = client.embeddings.create(**params)
return embeddings.data
(Source: OpenAI Cookbook (https://cookbook.openai.com/examples/vector_databases/pinecone/semantic_search))
To read a JSON file and search for dictionary keys, you can use Python's built-in json module. However, how you would use the OpenAI API to semantically match these keys to user input is not specified in the extracts.