volkantasci / bitai

bitAI 🤖

This project is a Streamlit application that is designed to implement and interact with various AI models.

Models used

• OpenAI ChatGPT-4: This is an improved version of ChatGPT that can generate more human-like text. It's generally used for various tasks that involve natural language generation.
• OpenAI ChatGPT-3.5-Turbo: This model from OpenAI is designed to offer better performance than its predecessors at a lower cost. It's capable of generating contextually relevant, human-like text.
• Meta AI Llama 2 - 70B Chat: This model is a conversational AI developed by Meta. It can understand and generate human-like text, making it suitable for building interactive applications like chatbots.
• Meta AI CodeLLaMA 🦙 34B Instruct: This is a Meta AI model trained on coding-related tasks. It understands programming instructions and can generate relevant code snippets.
• Meta AI CodeLLaMA 🦙 34B Fine Tuned for Python: This model is similar to the 34B Instruct model but is specifically fine-tuned for generating Python code.
• Meta AI CodeLLaMA 🦙 13B Instruct: This is another version of Meta's CodeLLaMA model with reduced parameter count. It can still understand programming instructions and generate relevant code.
• Meta AI CodeLLaMA 🦙 13B Fine Tuned for Python: This version of the CodeLLaMA model is specifically fine-tuned to understand and generate Python code.
• Meta AI CodeLLaMA 🦙 7B Instruct: This is a smaller version of the CodeLLaMA model designed by Meta. It's capable of understanding programming instructions and generating relevant code.
• Meta AI CodeLLaMA 🦙 7B Fine Tuned for Python: Another version of Meta's CodeLLaMA model specifically fine-tuned to generate Python code. ...

Tools and Libraries Used

• Streamlit
• Flowise AI
• Replicate
• OpenAI

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Installation

To install this application, follow these steps:

1. Clone this repository to your local machine using https://github.com/volkantasci/bitai.git

2. (Optional) Create a Python virtual environment and activate it.

3. Install the necessary packages using the command pip install -r requirements.txt

4. Run a docker container with flowise-compose.yml file. Load DB.json database file to FlowsieAI with its own UI.

5. Add your API keys to FlowiseAI in UI.

6. Make sure your OPENAI_API_KEY is set in your environment variables.

How to run the application

After installing the required packages, navigate to the project directory and run the application with:

streamlit run 💬_Chat_with_AI.py

Features

• Chatting with three different models: ChatGPT-4, ChatGPT-3.5-Turbo, and Llama 2
• Coding with CodeLLaMA: 34B, 13B, and 7B models
• Summarizing Contents: Summarize any text with any models you want
• Create YouTube topics and video titles: Create YouTube topics and video titles with any models you want

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Contributing

Contributions are always welcome! Please read the contribution guidelines first.

License

MIT

Contact

If you have any questions or issues, please contact <Your Name>. You can also open an issue at https://github.com/volkantasci/bitai/issues.