RedPill AI with Streamlit

This repository contains a simple chatbot application built using Streamlit and Google's Gemini API. The bot, named "RedPill AI," can interact with users and generate responses based on their queries.

Features

1. Interactive Chat Interface: The chatbot uses Streamlit to provide a web-based interface for user interaction.
2. Google Gemini API Integration: Utilizes Google's Generative Model (gemini-pro) to generate intelligent and relevant responses.
3. Session State Management: Maintains chat history across user interactions using Streamlit's session state.

Getting Started

Prerequisites

1. Python 3.x
2. Virtual environment tool (e.g., venv)
3. Google Generative AI API Key

Installation

1. Clone the repository:

        git clone https://github.com/darshanm17/RedPill-AI-with-Streamlit.git
        cd RedPill-AI-with-Streamlit
   

2. Create and activate a virtual environment:

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

3. Install the required packages:

        pip install streamlit google-auth google-auth-oauthlib google-generativeai

4. Set up your Google API Key: -Replace the placeholder API key in the code with your actual Google API key.

Running the App

1. Activate the virtual environment if not already active:

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

2. Run the Streamlit app:

   streamlit run app.py

3. Open your browser and navigate to http://localhost:8501 to interact with RedPill AI.

Code Description

1. Title and Environment Setup: The app starts by setting the title and configuring the Google API key.
2. Model Initialization: Configures the gemini-pro model from Google's Generative AI API.
3. Chat History Management: Initializes and manages chat history using Streamlit's session state.
4. Message Display: Displays chat messages from the session history on app rerun.
5. Response Handling: Defines a function to handle user queries and generate responses using the Gemini API.
6. User Input Handling: Accepts user input and triggers the response function when a query is provided.

Future Enhancements

1. Add error handling for network and API issues.
2. Implement user authentication for personalized sessions.
3. Enhance the UI with custom styling and additional features.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any enhancements or bug fixes.