Streamlit Gemini Chatbot with sessions

This project demonstrates how to build a chatbot using Streamlit and Google's Generative AI model. The chatbot can save and load past chat sessions, generate chat session names, and provide helpful responses to user inputs.

Table of Contents

• Installation
• Usage
• Project Structure
• Features
• Contributing
• License

Installation

1. Clone the repository:

   git clone https://github.com/ssreeramj/chatbot-with-chat-sessions.git
   cd chatbot-with-chat-sessions

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

   Create a .env file in the root directory and add your Google API key:

   GOOGLE_API_KEY=<your_google_api_key>

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. Interact with the chatbot:

   Open your browser and go to http://localhost:8501 to interact with the chatbot. You can start a new chat session, view past sessions, and get responses from the AI model.

Project Structure

chatbot-with-chat-sessions/
├── app.py
├── utils.py
├── requirements.txt
├── .env.example
├── README.md
└── chat-sessions/

• app.py: Main application file that sets up the Streamlit interface and handles user interactions.
• utils.py: Utility functions for managing chat sessions, formatting chat history, and generating chat session names.
• requirements.txt: List of Python dependencies required for the project.
• .env.example: Example environment file to set up your API keys.
• README.md: This file.
• chat-sessions/: Directory to store chat session data.

Features

• Chatbot Interface: A user-friendly interface to interact with the chatbot.
• Session Management: Save and load past chat sessions.
• Dynamic Chat Titles: Generate unique chat session names based on user input.
• Streaming Responses: Display AI responses in a streaming manner for a more interactive experience.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your changes. Ensure that your code follows the project's coding standards and includes appropriate tests.