Delete hf_backend

hf_backend/Dockerfile

@@ -1,34 +0,0 @@
-# Hugging Face Spaces Docker Backend
-FROM python:3.11-slim
-
-WORKDIR /app
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy requirements first for caching
-COPY hf_backend/requirements.txt ./requirements.txt
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Copy LangGraph workflow code
-COPY mh_langgraph_workflow/ ./mh_langgraph_workflow/
-
-# Copy backend API server
-COPY magicHourApp/api_server.py ./magicHourApp/api_server.py
-
-# Copy the HF app wrapper
-COPY hf_backend/app.py ./app.py
-
-# Set environment variables
-ENV PRODUCTION=true
-ENV PYTHONUNBUFFERED=1
-ENV PORT=7860
-
-# Expose HF Spaces default port
-EXPOSE 7860
-
-# Run the app
-CMD ["python", "app.py"]
-

hf_backend/README.md

@@ -1,35 +0,0 @@
----
-title: Magic Hour AI Backend
-emoji: ✨
-colorFrom: purple
-colorTo: blue
-sdk: docker
-pinned: false
-license: mit
-app_port: 7860
----
-
-# Magic Hour AI Backend
-
-This is the FastAPI backend for Magic Hour AI, a multimodal content generation agent powered by LangGraph.
-
-## Features
-
-- 🎨 AI Image Generation (via fal.ai)
-- 🎬 AI Video Generation
-- ✏️ Image Editing
-- 🧠 Intelligent context-aware agent with memory
-- 📡 Real-time streaming responses via SSE
-
-## API Endpoints
-
-- `GET /api/health` - Health check
-- `POST /api/chat` - Main chat endpoint (SSE streaming)
-
-## Environment Variables
-
-Set these in your Hugging Face Space secrets:
-
-- `FAL_KEY` - Your fal.ai API key (required)
-- `FAL_MODEL_NAME` - LLM model to use (default: google/gemini-2.5-flash)
-

hf_backend/app.py

@@ -1,25 +0,0 @@
-"""
-Hugging Face Spaces Backend for Magic Hour AI
-This is a wrapper that imports and runs the main API server
-"""
-
-import sys
-import os
-
-# Add parent directory to path for imports
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-# Set production mode
-os.environ["PRODUCTION"] = "true"
-
-# Import the FastAPI app from magicHourApp
-from magicHourApp.api_server import app
-
-# Hugging Face Spaces expects the app to be named 'app'
-# The app is already configured and ready to use
-
-if __name__ == "__main__":
-    import uvicorn
-    port = int(os.environ.get("PORT", 7860))  # HF Spaces uses 7860 by default
-    uvicorn.run(app, host="0.0.0.0", port=port)
-

hf_backend/requirements.txt

@@ -1,21 +0,0 @@
-# Hugging Face Spaces Backend Requirements
-# Core FastAPI
-fastapi>=0.104.0
-uvicorn[standard]>=0.24.0
-python-multipart>=0.0.6
-
-# LangGraph and LangChain
-langgraph>=0.2.0
-langchain>=0.3.0
-langchain-core>=0.3.0
-langchain-community>=0.3.0
-
-# Fal.ai for LLM and image generation
-fal-client>=0.5.0
-
-# Utilities
-pydantic>=2.0.0
-httpx>=0.25.0
-aiofiles>=23.2.0
-Pillow>=10.0.0
-