LLM-Chat-Bot

A lightweight chatbot powered by Google Gemini (via google-genai) that can be used through:

• a CLI (cli-only folder)
• a Flask web UI (chatbot-webv2 folder)
• a Streamlit UI (streamlit_app_v2.py)

Features

• Google Gemini integration (default model: gemini-2.0-flash, configurable via GEMINI_MODEL)
• Multiple interfaces: CLI, Flask, and Streamlit
• Configurable generation parameters (temperature, top_p, top_k, max tokens)
• Chat history persistence (JSON files)

Directory Structure

LLM-Chat-Bot/
  cli-only/
    app.py
    generate_secrets.py
  chatbot-webv2/
    app.py
    generate_secrets.py
    static/
      style.css
      script.js
    templates/
      index.html
  streamlit_app_v2.py
  generate_secrets.py
  requirements.txt
  README.md

Prerequisites

• Python 3.9+ (use a virtual environment if possible)
• Google Gemini API key (from Google AI Studio)
• Required Python packages (see requirements.txt)

Installation

git clone https://github.com/weiss-rn/LLM-Chat-Bot.git
cd LLM-Chat-Bot
python -m venv venv

Windows:

venv\Scripts\activate

macOS / Linux:

source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Generating Secrets

The project expects a secrets.toml (for Streamlit) or config.toml (for CLI/Flask) containing:

GOOGLE_API_KEY = "YOUR_API_KEY"

Windows:

python generate_secrets.py
python cli-only\generate_secrets.py
python chatbot-webv2\generate_secrets.py

Linux / macOS:

python3 generate_secrets.py
python3 cli-only/generate_secrets.py
python3 chatbot-webv2/generate_secrets.py

Running the Applications

CLI only:

cd cli-only
python app.py

Flask web UI:

cd chatbot-webv2
python app.py

The Flask server starts at http://0.0.0.0:5000.

Streamlit UI:

streamlit run streamlit_app_v2.py

The Streamlit app will be available at http://localhost:8501.

License

Apache 2.0. See LICENSE.