trying new config

Dockerfile

@@ -1,5 +1,28 @@
 FROM python:3.10.9
-COPY . .
-WORKDIR /
-RUN pip install --no-cache-dir --upgrade -r /requirements.txt
+
+# Install git-lfs for downloading large files from Hugging Face
+RUN apt-get update && apt-get install -y git-lfs
+
+# Create a directory for your model inside the container's /app directory
+# This directory is typically writable during the build process
+RUN mkdir -p /app/models/sentence-transformers_all-MiniLM-L6-v2
+
+# Clone the specific SentenceTransformer model into the created directory
+# This downloads the model files as part of the image build
+RUN git clone https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 /app/models/sentence-transformers_all-MiniLM-L6-v2
+
+# Set the SENTENCE_TRANSFORMERS_HOME environment variable
+# This tells the SentenceTransformer library where to look for pre-downloaded models
+ENV SENTENCE_TRANSFORMERS_HOME=/app/models
+
+# Copy your application code into the /app directory in the container
+COPY . /app
+
+# Set the working directory to /app
+WORKDIR /app
+
+# Install your Python dependencies
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+# Command to run your FastAPI application
 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -40,9 +40,7 @@ user_interactions = defaultdict(set)
 post_features = {}
 post_metadata = {}
 
-if not os.path.exists('/data/.cache'):
-    os.makedirs('/data/.cache')
-sentence_model = SentenceTransformer('all-MiniLM-L6-v2', cache_folder='/data/.cache')
+sentence_model = SentenceTransformer('all-MiniLM-L6-v2')
 
 SUPABASE_URL = os.getenv('supabaseUrl')
 SUPABASE_KEY = os.getenv('supabaseAnonKey')