.github/README.md

metadata

title: DeepCritical
emoji: 🧬
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 6.0.1
python_version: '3.11'
app_file: src/app.py
hf_oauth: true
hf_oauth_expiration_minutes: 480
hf_oauth_scopes:
  - inference-api
pinned: true
license: mit
tags:
  - mcp-in-action-track-enterprise
  - mcp-hackathon
  - drug-repurposing
  - biomedical-ai
  - pydantic-ai
  - llamaindex
  - modal

Quick Start

1. Environment Setup

# Install uv if you haven't already
pip install uv

# Sync dependencies
uv sync --all-extras

2. Run the UI

# Start the Gradio app
uv run gradio gradio src/app.py

Open your browser to http://localhost:7860.

3. Authentication (Optional)

HuggingFace OAuth Login:

• Click the "Sign in with HuggingFace" button at the top of the app
• Your HuggingFace API token will be automatically used for AI inference
• No need to manually enter API keys when logged in
• OAuth token is used only for the current session and never stored

4. Connect via MCP

This application exposes a Model Context Protocol (MCP) server, allowing you to use its search tools directly from Claude Desktop or other MCP clients.

MCP Server URL: http://localhost:7860/gradio_api/mcp/

Claude Desktop Configuration: Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "deepcritical": {
      "url": "http://localhost:7860/gradio_api/mcp/"
    }
  }
}