Chatbot Langchain Mark One

Welcome to the Chatbot Langchain Mark One project! This interactive chatbot leverages Langchain and Streamlit to provide a seamless user experience for answering questions through real-time web searches while maintaining conversation context.

Features

• Interactive Q&A: Accepts questions from users.
• Web Search Integration: Conducts web searches to provide accurate answers.
• Contextual Conversations: Keeps track of conversation history for follow-up questions.
• Real-time Responses: Streams responses as they are generated.

Requirements

To get started, you'll need the following:

• Necessary API keys for OpenAI, Google API, Gustomer Search Engine ID - GOOGLE_CSE_ID

Getting Started

Clone the Repository

git clone https://github.com/yourusername/chatbot-langchain-markone.git
cd chatbot-langchain-markone

Set Up Environment Variables

1. Create .env file in the root of the project
2. Copy of the contents from the .env.sample file and update it with your API keys.

Running the project locally

1. Create and activate virtual environment

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

2. install the required packages:

pip install -r requirements.txt

3. Run the Streamlit app:

streamlit run bot/app.py

Running with Docker

If you prefer using Docker, you can build and run the application with the following commands:

docker build -t chatbot-langchain-markone .

2. Run the Docker container:

docker run -p 8501:8501 chatbot-langchain-markone

Usage

Once the application is running, navigate to http://localhost:8501 in your browser to start chatting with the bot.