Update Dockerfile

Dockerfile

@@ -1,30 +1,38 @@
-# Base image with Python and Pytorch
-FROM python:3.11-slim
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    tesseract-ocr \
-    libglib2.0-0 \
-    libsm6 \
-    libxext6 \
-    libxrender-dev \
-    && rm -rf /var/lib/apt/lists/*
-
-# Set workdir
-WORKDIR /app
-
-# Copy requirements first and install them
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Download transformer model at build time
-RUN python -c "from transformers import pipeline; pipeline('summarization', model='t5-base', cache_dir='/app/model')"
-
-# Copy your app code
-COPY app/ .
-
-# Expose port
-EXPOSE 7860
-
-# Run app
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+# Base image with Python and Pytorch (swap slim for full if more libs needed)
+FROM python:3.11-slim
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    tesseract-ocr \
+    libglib2.0-0 \
+    libsm6 \
+    libxext6 \
+    libxrender-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set working directory
+WORKDIR /app
+
+# Copy requirements and install them
+COPY requirements.txt .
+
+# Install Python dependencies — add torch explicitly
+RUN pip install --no-cache-dir torch transformers uvicorn fastapi pdfplumber pytesseract newspaper3k
+
+# Create model cache directory with full permissions
+RUN mkdir -p /app/model && chmod -R 777 /app/model
+
+# Set TRANSFORMERS_CACHE env var for caching models to /app/model
+ENV TRANSFORMERS_CACHE=/app/model
+
+# Download and cache T5 model at build time
+RUN python -c "from transformers import pipeline; pipeline('summarization', model='t5-base', cache_dir='/app/model')"
+
+# Copy your application code into container
+COPY app/ .
+
+# Expose your application port
+EXPOSE 7860
+
+# Run the FastAPI application with Uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]