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Dockerfile

@@ -1,25 +1,31 @@
-# Use a slim Python 3.11 base image
-FROM python:3.13-slim
+# Use Python base image
+FROM python:3.11-slim
 
-# Avoid writing .pyc files and enable unbuffered stdout/stderr
-ENV PYTHONDONTWRITEBYTECODE=1
-ENV PYTHONUNBUFFERED=1
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONUNBUFFERED 1
 
-# Set the working directory
+# Create working directory
 WORKDIR /app
 
+# Install system dependencies
 RUN apt-get update && apt-get install -y \
     build-essential \
+    git \
     && rm -rf /var/lib/apt/lists/*
 
-
+# Copy requirements and install them
 COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
+RUN pip install --upgrade pip && pip install -r requirements.txt
 
+# Copy app code
 COPY . .
 
+# Download model at build time
+RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
 
-EXPOSE 7860
+# Expose port
+EXPOSE 8080
 
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+# Run app
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8080"]

app.py

@@ -9,9 +9,6 @@ from sentence_transformers import SentenceTransformer
 import weaviate
 from weaviate.classes.init import Auth
 
-os.environ["HF_HOME"] = "/tmp/.cache/huggingface"
-os.environ["TRANSFORMERS_CACHE"] = "/tmp/.cache/transformers"
-os.environ["SENTENCE_TRANSFORMERS_CACHE"] = "/tmp/.cache/sentence_transformers"
 
 WEAVIATE_URL = os.getenv("WEAVIATE_URL", "https://hrdhwtqlrkqmc8sfizwvpq.c0.asia-southeast1.gcp.weaviate.cloud")
 WEAVIATE_API_KEY = os.getenv("WEAVIATE_API_KEY", "pMDX7ysJPkSTUMdV3gEwxhGmyB7wB301fLaJ")
@@ -28,7 +25,7 @@ app.add_middleware(
 
 app.mount("/static", StaticFiles(directory="static"), name="static")
 
-model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
+model = SentenceTransformer("all-MiniLM-L6-v2")
 
 client = weaviate.connect_to_weaviate_cloud(
     cluster_url=WEAVIATE_URL,