NovaGPT

Inspiration

The inspiration behind NovaGPT was to create a highly proficient AI chatbot capable of simulating an expert programmer. The project was driven by the need for a tool that could assist developers with real-time, unfiltered coding support and problem-solving.

What I learned

Through this project, I gained a deeper understanding of AI model implementation, prompt optimization, and real-time conversation management. I also learned how to handle various challenges related to error handling and streaming responses.

How I built the project

NovaGPT is built using Python and includes several modules that manage different aspects of the AI's functionality, such as conversation management and prompt optimization. The project integrates the FastAPI framework to provide a web API, allowing easy interaction with the chatbot.

Challenges faced

One of the main challenges was ensuring the chatbot could handle complex prompts and generate accurate, efficient responses in real-time. Another challenge was managing the conversation history to ensure the prompt length did not exceed specified limits.

Built With

• appdirs
• click
• corsmiddleware
• fastapi
• httpx
• pydantic
• python
• python-vlc
• pyyaml
• requests
• rich
• uvicorn