pyAGI

[round lantern]

🚀 Exciting announcement!
I'm thrilled to introduce pyAGI - my latest Python package that acts as an autonomous system, crafted to conquer your Python application objectives by leveraging AGI principles.

Here's why you'll love pyAGI:
1️⃣ Ease of Use: Just define your objective, select the OpenAI model of your choice, and watch pyAGI do the magic.
2️⃣ Prepared for the Future: pyAGI isn't just compatible with existing OpenAI models, it's geared up to embrace the upcoming ones too.
3️⃣ Unparalleled Transparency: Keep track of every step in your AGI journey with detailed output logs provided by pyAGI.

What makes pyAGI extraordinary?
pyAGI is designed to fulfill a wide range of AGI objectives, from auto-generation of architecture diagrams and UX flows to the provision of detailed coding steps, and even the generation of the final application code.

What's next?
We're not stopping here. With the forthcoming release of the GPT-4 API, pyAGI is ready to integrate it smoothly. Also, I'm working on a Streamlit integration to enhance the user experience while running your apps.

Take pyAGI for a spin today! It's now available on PyPI and can be easily installed using pip install pyAGI.

I'd love to hear your thoughts, ideas, and feedback as we continue to shape the future of AGI. Reach out and let's explore the possibilities!

#python #openai #automation #artificialintelligence #pyAGI #gpt4 #streamlit #AGI #machinelearning #startup #ai

https://lnkd.in/grqYhKTP
https://lnkd.in/gTc8gBKc

[bright heart]

Post an image of "architecture diagram" generated by GPT model with associated python code description in English.

[bright heart]

Can you add a feature: GPT response launches a .py primescript1.py. The primescript1.py copy pastes the code generated in GPTresponse into text editor and saves the code as pycode[numerical index].py, then calls Python3 interpreter to check for errors, copypaste report the errors back to GPT as prompt and repeat until pycode35.py runs with no errors. ? also pycode35 will include a series of debug outputs to verify which stages of the code actually performed as intended. If pycode35.py passes all of these automatic filters, it will be saved as a final file named functional_description1.py script.

[gusty jetty]

could you show an example of an architecture diagram or flow it generated? really cool project