LangChain Chatbot with Gradio Interface

This project is a conversational AI chatbot built using LangChain and Gradio, powered by OpenAI's GPT-3.5-turbo model. The chatbot maintains context and handles conversations with memory, making it more interactive and responsive.

Features

• Memory-based conversation: Keeps track of chat history using LangChain's ConversationBufferMemory.
• Gradio Interface: A user-friendly interface for interacting with the chatbot.
• GPT-3.5-turbo model: Leverages OpenAI's gpt-3.5-turbo for generating responses.
• Customizable templates: The chatbot prompt can be tailored via LangChain's PromptTemplate.

Prerequisites

Ensure you have the following installed on your system:

• Python 3.7+
• Gradio: pip install gradio
• LangChain: pip install langchain
• OpenAI: pip install openai
• An OpenAI API key (set as an environment variable OPENAI_API_KEY).

Installation

1. Clone the repository:

   git clone https://github.com/your-username/your-repo-name.git
   cd your-repo-name

. Set your OpenAI API key as an environment variable:

export OPENAI_API_KEY="your-api-key-here"

Project Structure

• main.py: Main script containing the chatbot logic and Gradio interface.
• requirements.txt: Lists the required Python packages.

Usage

Run the chatbot application locally:

python main.py

This will launch the Gradio interface where you can interact with the chatbot.

Example

Here's a basic flow of how the chatbot works:

1. User initiates a conversation through the Gradio chat interface.
2. The chatbot processes the query using the OpenAI GPT-3.5 model, keeping track of the chat history.
3. The chatbot responds with a contextual answer, allowing for a fluid, memory-based conversation.

Environment Variables

• OPENAI_API_KEY: Your OpenAI API key is required for the bot to generate responses. Ensure this is set before running the application.

Contributing

Feel free to open issues or submit pull requests if you want to contribute to this project.

License

This project is licensed under the MIT License.

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Make sure to replace your-username/your-repo-name with the actual path for your GitHub repository before uploading it. Also, don't forget to create a requirements.txt file to list all your dependencies.

Here's an example requirements.txt content:

gradio
langchain
openai

Let me know if you'd like any further customizations!