AgentChatbot

Chatbot that can answer user queries from any documents and add a conversational form for collecting user information (Name, Phone Number, Email) when user ask chatbot to call them, You can use LangChain & Gemini/or any LLMs to complete the project.

Also, integrate conversational form (book appointment) with tool-agents. Integration of conversational form with agent-tools, extract complete date format like (YYYY-MM-DD) from users query (eg. Next Monday, and integrate validation in user input with conversational form (like email, phone number) etc.

Setup Instructions

1. Clone the Repository

If you haven't already, clone the project repository:

git clone https://github.com/kushaldahal0/AgentChatbot.git
cd AgentChatbot

2. Create and Activate a Virtual Environment

It's recommended to use a virtual environment to manage dependencies:

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

3. Install Requirements

Install the dependencies from the requirements.txt file:

pip install -r requirements.txt

5. Run the chatbot

Start the chatbot in terminal:

python chatbot.py