Langchain Gemini Chatbot

This project is a chatbot built using Langchain and Google's Gemini model. It leverages Langchain's prompt templates and Google’s powerful AI model to deliver real-time answers through a Streamlit interface.

Features

• Langchain Integration: The chatbot uses Langchain’s prompt system to generate structured prompts and manage responses via StrOutputParser.
• Google AI (Gemini): Utilizes the Gemini model from Google AI Studio for generating conversational responses.
• Streamlit Interface: A simple, user-friendly input box for asking any question and displaying responses.
• Environment Variable Management: API keys are securely managed using .env files, ensuring security and ease of use.

Prerequisites

• Python 3.7 or later
• langchain-google-genai, streamlit, python-dotenv libraries

Installation

1. Clone the repository:

   git clone https://github.com/your-username/langchain-gemini-chatbot.git

2. Navigate to the project directory:

   cd langchain-gemini-chatbot

3. Install the required dependencies:

   pip install -r requirements.txt

4. Create a .env file in the root directory and add your API keys:

   GOOGLE_API_KEY=your_google_api_key
   LANGCHAIN_API_KEY=your_langchain_api_key

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. In the Streamlit interface, type your question in the input field and get a response powered by Google Gemini AI.

Project Structure

📦langchain-gemini-chatbot: The root folder or main directory where my project files are stored. ┣ 📜app.py: The main Python application file that runs my chatbot. ┗ 📜.env: The environment file where sensitive API keys (like Google API and Langchain API keys) are stored securely.