Update Dockerfile

Dockerfile

@@ -1,30 +1,40 @@
-FROM python:3.10-slim
+FROM python:3.10
 
+# Set working directory
 WORKDIR /app
 
 # Install system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    git ffmpeg libsm6 libxext6 \
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    git \
+    curl \
     && rm -rf /var/lib/apt/lists/*
 
-# Ensure numpy compatibility
-RUN pip install --no-cache-dir "numpy<2.0"
+# Upgrade pip
+RUN pip install --upgrade pip
 
-# ✅ Install safe PyTorch CPU version (2.6.0 works fine for Spaces)
-RUN pip install --no-cache-dir torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0
+# Copy requirements and install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy project files
-COPY . /app
+# Copy application code
+COPY app.py .
 
-# ✅ Install your app dependencies
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir fastapi uvicorn transformers pillow langchain langsmith python-multipart
+# Create cache directory
+RUN mkdir -p /tmp/huggingface_cache && chmod 777 /tmp/huggingface_cache
 
-# Use /tmp as Hugging Face cache (prevents write permission issues)
+# Set environment variables
 ENV HF_HOME=/tmp/huggingface_cache
+ENV TRANSFORMERS_CACHE=/tmp/huggingface_cache
+ENV PYTHONUNBUFFERED=1
+ENV PORT=7860
 
-# Expose Hugging Face default port
+# Expose port
 EXPOSE 7860
 
-# ✅ Start FastAPI
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
+    CMD curl -f http://localhost:7860/health || exit 1
+
+# Run the application
+CMD ["python", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]