README.md

metadata

title: Atomcamp Chatbot
emoji: 🚀
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.35.0
app_file: app.py
pinned: true
license: apache-2.0
short_description: atomcamp Chatbot is a custom AI assistant.
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/684fd1b5f7723687a2b4b1f0/M2O5FkGRuWBaShPn0VgOr.png

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Atomcamp Chatbot

Atomcamp Chatbot is an AI-powered assistant developed for the Atomcamp platform. It is designed to answer queries related to Atomcamp's services, programs, and frequently asked questions using a combination of natural language understanding and document-based retrieval.

This chatbot leverages modern NLP techniques including sentence embeddings and vector-based semantic search. The objective is to deliver fast, accurate, and context-aware responses through a simple browser interface.

Features

• Retrieval-Augmented Generation (RAG) pipeline
• Semantic search powered by FAISS
• Document chunking using RecursiveCharacterTextSplitter
• Embeddings via sentence-transformers/all-MiniLM-L6-v2
• Real-time user interface built with Gradio
• Modular and maintainable Python codebase
• Secure handling of environment variables

Technologies

• Python 3.10+
• Gradio 5.35.0
• Hugging Face Transformers and Hub
• LangChain
• FAISS
• Sentence Transformers
• dotenv

1. Clone the Repository

git clone https://huggingface.co/spaces/ABdullah937e/atomcamp-chatbot cd atomcamp-chatbot

2. Create Virtual Environment

python -m venv venv

3. Activate the Virtual Environment

3.1 For Linux/macOS:

source venv/bin/activate

3.2 For Windows:

venv\Scripts\activate

4. Install Dependencies

pip install -r requirements.txt

5. Set Environment Variable (using .env file)

5.1 Create a file named .env and add the following line:

"env"="28813h28e29e93j"

6. Run the App

python app.py