Techietalks AI - Multi-Model Chat Assistant

Welcome to the Techietalks AI repository! This project is a multi-model AI-powered chat assistant built using Streamlit, Pydantic_AI, and multiple AI models like OpenAI, DeepSeek, and Gemini. It allows users to interact with different AI models, switch between them, and enjoy a conversational experience. The app also includes a "New Chat" button to reset the conversation and start fresh.

This repository contains all the necessary files to set up and run the chat assistant locally or in a Docker container. Below, you'll find a detailed explanation of the project and instructions to get started.

📁 Repository Structure

Here’s a breakdown of the files in this repository:

1. .DS_Store: A macOS-specific file that stores folder attributes (e.g., icon positions). You can ignore this file.
2. .env: A file to store environment variables, such as API keys. Important: Add your OPENAI_API_KEY, DEEPSEEK_API_KEY, and GEMINI_API_KEY here to authenticate with the respective APIs.
3. .gitignore: Specifies files and folders that Git should ignore (e.g., .env to avoid exposing sensitive information).
4. Dockerfile: Contains instructions to build a Docker image for the application. It sets up a Python environment, installs dependencies, and runs the Streamlit app.
5. README.md: This file! It provides an overview of the project and instructions for setup.
6. app.py: The main application file. It contains the code for the Streamlit-based chat interface and integrates with multiple AI models (OpenAI, DeepSeek, and Gemini). It also includes a "New Chat" button to reset the conversation.
7. docker-compose.yml: A configuration file to run the application using Docker Compose. It maps ports, loads environment variables, and sets up volumes.
8. requirements.txt: Lists all Python dependencies required to run the application.
9. sree.txt: A placeholder text file (likely for personal notes or testing).

🚀 How It Works

This project uses the following technologies:

• Streamlit: A framework for building interactive web applications with Python. It powers the chat interface.
• Pydantic_AI: A library that helps structure and validate AI responses.
• OpenAI API: A powerful AI model for generating conversational responses.
• DeepSeek API: An AI model that provides conversational responses.
• Gemini API: Another AI model for generating responses.
• Rich: A library used for pretty-printing debug information (e.g., conversation history).

When you type a question into the chat interface, the app sends it to the selected AI model (OpenAI, DeepSeek, or Gemini), processes the response, and displays it in a conversational format. It also maintains a history of the conversation, allowing the AI to provide more context-aware answers. The "New Chat" button resets the conversation, clearing the history and starting fresh.

🛠️ Setup Instructions

Follow these steps to set up and run the project:

Prerequisites

1. Python 3.11: Ensure Python is installed on your system.
2. Docker (optional): If you want to run the app in a container.
3. API Keys: Obtain API keys for OpenAI, DeepSeek, and Gemini from their respective websites.

Steps

1. Clone the Repository: bash git clone https://github.com/schogini/techietalksai.git cd techietalksai/0005

2. Set Up Environment Variables:

   • Create a .env file in the project directory.
   • Add your API keys: plaintext OPENAI_API_KEY=your_openai_api_key_here DEEPSEEK_API_KEY=your_deepseek_api_key_here GEMINI_API_KEY=your_gemini_api_key_here

3. Install Dependencies:

   • If running locally: bash pip install -r requirements.txt
   • If using Docker, skip this step.

4. Run the Application:

   • Locally: bash streamlit run app.py Open your browser and navigate to http://localhost:8501.
   • Using Docker: bash docker-compose up --build Open your browser and navigate to http://localhost:8502.

📄 License

This project is open-source and available under the MIT License. Feel free to use, modify, and distribute it as needed.

📧 Contact

For AI consultancy, training, and development, contact Schogini Systems Private Limited at https://www.schogini.com.

👨‍💻 Author

Sreeprakash Neelakantan
- Website: https://www.schogini.com
- GitHub: https://github.com/schogini/techietalksai.git

Enjoy using the Techietalks AI Multi-Model Chat Assistant! If you have any questions or feedback, feel free to reach out. 😊