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Dockerfile

@@ -1,35 +1,22 @@
-# Dockerfile for Crypto API Monitoring System
-# Optimized for HuggingFace Spaces deployment
 FROM python:3.10-slim
 
-# Set working directory
 WORKDIR /app
 
-# Set environment variables for better Python behavior
-ENV PYTHONUNBUFFERED=1 \
-    PYTHONDONTWRITEBYTECODE=1 \
-    PIP_NO_CACHE_DIR=1 \
-    PIP_DISABLE_PIP_VERSION_CHECK=1
+# Copy project files into the image
+COPY . /app
 
-# Install system dependencies required for building Python packages
+# Install system dependencies if needed (optional, keep minimal)
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    gcc \
-    g++ \
-    git \
-    curl \
+    build-essential \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy requirements first for better layer caching
-COPY requirements.txt .
-
-# Install Python dependencies with optimizations
-# Split into two steps: core dependencies first, then ML libraries
+# Install Python dependencies
+# NOTE: websockets version is NOT pinned to 12.0 to avoid conflict with gradio_client
 RUN pip install --no-cache-dir \
     fastapi==0.104.1 \
     uvicorn[standard]==0.24.0 \
     pydantic==2.5.0 \
     python-multipart==0.0.6 \
-    websockets==12.0 \
     SQLAlchemy==2.0.23 \
     APScheduler==3.10.4 \
     aiohttp==3.9.1 \
@@ -41,31 +28,11 @@ RUN pip install --no-cache-dir \
     pandas==2.1.4 \
     plotly==5.18.0
 
-# Install HuggingFace ML dependencies separately
-RUN pip install --no-cache-dir \
-    transformers>=4.44.0 \
-    datasets>=3.0.0 \
-    huggingface_hub>=0.24.0 \
-    torch>=2.0.0 --index-url https://download.pytorch.org/whl/cpu \
-    sentencepiece>=0.1.99 \
-    protobuf>=3.20.0
-
-# Copy all application code
-COPY . .
-
-# Create necessary directories
-RUN mkdir -p data logs
-
-# Set proper permissions for data directories
-RUN chmod -R 755 data logs
-
-# Expose port 7860 (HuggingFace Spaces standard port)
+# Expose the port that Hugging Face expects (7860 by default)
 EXPOSE 7860
 
-# Health check endpoint for HuggingFace Spaces
-HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
-    CMD curl -f http://localhost:7860/health || exit 1
+# For HF Spaces compatibility
+ENV PORT=7860
 
-# Run the FastAPI application with uvicorn
-# Using multiple workers for better performance (adjust based on available resources)
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--log-level", "info", "--workers", "1"]
+# Main entrypoint: use main:app (FastAPI)
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--proxy-headers", "--forwarded-allow-ips", "*"]

main.py

@@ -1,3 +1,5 @@
 from app import app as fastapi_app
 
+# Uvicorn / Hugging Face entrypoint
+# This file allows us to run: uvicorn main:app ...
 app = fastapi_app