README.md

metadata

title: Thoughtful Test
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
hf_oauth: true
hf_oauth_scopes:
  - inference-api
short_description: A quick Gradio agent demo

An example chatbot using Gradio, huggingface_hub, and the Hugging Face Inference API.

🧠 Thoughtful AI – Customer Support Agent

A lightweight conversational demo built for the Thoughtful AI coding exercise.
This app simulates a simple customer service AI agent that answers user questions about Thoughtful AI’s healthcare automation agents — using only hardcoded responses and a minimal similarity retriever.

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🚀 Overview

The Thoughtful AI Support Assistant accepts user questions and returns the most relevant predefined answer.
It uses a lightweight token-based similarity model (no external NLP dependencies) to match user input against five common FAQs.

Example Questions

• What does the eligibility verification agent (EVA) do?
• How does the claims processing agent (CAM) work?
• What are the benefits of using Thoughtful AI’s agents?
• Tell me about Thoughtful AI’s agents.

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💡 Features

• Conversational chat interface built with Gradio Blocks.
• Hardcoded FAQ retrieval (no external APIs or models required).
• Lightweight custom tokenizer for fuzzy keyword matching.
• Handles unknown inputs gracefully with fallback responses.
• Includes confidence scoring and clear, user-friendly formatting.

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🧩 Tech Stack

• Language: Python 3.9+
• Framework: Gradio
• Deployment: Hugging Face Spaces
• Dependencies: None beyond Gradio (no model downloads required)

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🏗️ Local Development

To run locally:

pip install gradio
python app.py