README.md

metadata

title: OmniTech Customer Support
emoji: 🤖
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: false
license: mit
python_version: '3.12'

OmniTech Customer Support Chatbot

An AI-powered customer support chatbot built with:

• Gradio for the web interface
• MCP (Model Context Protocol) for tool orchestration
• ChromaDB for vector-based document search (RAG)
• HuggingFace Inference API for LLM responses

⚠️ IMPORTANT: Required Setup

This Space requires HF_TOKEN to be set as a secret, or the LLM won't work!

Without HF_TOKEN, you'll see truncated responses like:

"Based on our Return policies: OmniTech Solutions Consumer Returns..."

How to fix:

1. On the Hugging Face spaces site (huggingface.co/spaces/userid/aia-capstone) click on the Settings link in the upper right.
2. Scroll down until you see the Variables and secrets section.
3. Click New secret button on right.
4. Fill in the fields with Name: HF_TOKENand Value: Your HuggingFace API token.
5. Click Save and the Space will restart automatically
6. You can watch progress back on the App tab.

Features

• 🔍 RAG-powered responses - Answers based on product documentation
• 🎫 Ticket creation - Automatically creates support tickets when needed
• 👤 Customer context - Looks up customer information for personalized responses
• 📊 Developer mode - Toggle to see debug info, MCP stats, and knowledge search

Usage

1. Set HF_TOKEN first (see above)
2. Select a customer from the dropdown
3. Type your question in the chat
4. Toggle "Developer Mode" to see debug information

Support Categories

• Account Security (passwords, 2FA, account recovery)
• Device Troubleshooting (technical issues, setup)
• Shipping & Delivery (order tracking, shipping info)
• Returns & Refunds (return policy, warranties)

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Built for the Enterprise AI Accelerator Capstone