deploy

Dockerfile

@@ -1,8 +1,27 @@
-FROM python:3.9-slim
+# Use an official Python image
+FROM python:3.9
+
+# Set environment variables for cache location
+ENV HF_HOME="/app/cache"
+ENV TRANSFORMERS_CACHE="/app/cache"
+
+# Create the cache directory
+RUN mkdir -p /app/cache
+
+# Install required Python packages
+RUN pip install --no-cache-dir sentence-transformers
+
+# Pre-download the model during the image build process
+RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('sentence-transformers/clip-ViT-B-32-multilingual-v1')"
+
+# Set working directory
 WORKDIR /app
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-RUN mkdir -p /app/cache && chmod -R 777 /app/cache
-COPY . .
+
+# Copy application code
+COPY . /app
+
+# Expose port (if using FastAPI)
 EXPOSE 7860
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+
+# Command to run the application
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]