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-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
-
-## Commands
-
-### Running the Application
-```bash
-python app.py
-```
-This starts the Gradio web interface on local port (default 7860).
-
-### Installing Dependencies
-```bash
-pip install -r requirements.txt
-```
-
-## Code Architecture
-
-This is a single-file Gradio 4.32.0 application (`app.py`) that helps users create and deploy chat interfaces on HuggingFace Spaces. The application has two main features:
-
-1. **Spaces Configuration Tool**: Generates complete deployment packages for chat interfaces
-   - Uses the `SPACE_TEMPLATE` string (lines 15-137) to generate Python code
-   - Creates zip files containing app.py, requirements.txt, README.md, and config.json
-   - Supports multiple LLM models via OpenRouter API
-   - **URL Grounding**: Supports up to 4 discrete URLs for context grounding
-     - Fetches web content from provided URLs using BeautifulSoup
-     - Injects content as context into the system prompt
-     - Automatically truncates content to ~4000 characters per URL
-
-2. **Chat Support Assistant**: Provides configuration help using Gemma-2-27B
-   - Located in the second tab of the interface
-   - Uses OpenRouter API with environment variable `OPENROUTER_API_KEY`
-   - Includes URL grounding functionality in collapsible accordion
-
-### Key Functions
-- `create_readme()`: Generates deployment instructions with HuggingFace YAML frontmatter
-- `create_requirements()`: Generates requirements.txt content including beautifulsoup4
-- `generate_zip()`: Main function that creates the deployment package with URL grounding support
-- `on_generate()`: Callback function for the generate button handling all input parameters
-- `fetch_url_content()`: Fetches and extracts text from URLs (both in template and main app)
-- `get_grounding_context()`: Combines URL content into context (both in template and main app)
-- `respond()`: Chat support function with URL grounding parameters
-
-### Template System
-The app uses string templating to generate Python code. The main template (`SPACE_TEMPLATE`) contains placeholders that are filled with user configuration:
-- `{name}`, `{description}`, `{system_prompt}`, `{model}`
-- `{api_key_var}`, `{temperature}`, `{max_tokens}`, `{examples}`
-- `{grounding_urls}`: JSON array of URLs for context grounding
-
-### Model Configuration
-Available models are limited to three open-source options:
-- `google/gemma-2-27b-it` (default)
-- `mistralai/mixtral-8x7b-instruct`
-- `meta-llama/llama-3.1-70b-instruct`
-
-### URL Grounding Architecture
-URL grounding is implemented in both the main app and generated templates:
-- Web scraping uses BeautifulSoup4 with 10-second timeout
-- Content is cleaned (scripts/styles removed) and truncated to 4000 characters
-- Error handling for failed requests returns descriptive error messages
-- Context is injected into system prompts for enhanced responses
-
-## Environment Variables
-- `OPENROUTER_API_KEY`: Required for the Chat Support feature to work
-- Uses python-dotenv to load from `.env` file automatically
-
-## Important Notes
-- This is a HuggingFace Spaces application (see YAML frontmatter in README.md)
-- No test suite or linting configuration exists
-- The generated packages are self-contained chat applications ready for deployment
-- All generated code uses OpenRouter API for LLM access
-- Generated spaces include BeautifulSoup4 for URL content extraction
-- URL grounding fetches content at runtime, adding context to each conversation
-- Generated README.md files include proper HuggingFace Spaces YAML frontmatter
-- Template uses double braces `{{}}` for literal braces in generated code, single braces `{}` for template variables