Fix: Use PORT env var from Hugging Face Spaces instead of hardcoding port

.streamlit/config.toml

@@ -1,5 +1,4 @@
 [server]
-port = 7860
 address = "0.0.0.0"
 headless = true
 enableCORS = false

ALL_FILES_CONTENT.txt

@@ -0,0 +1,3 @@
+
+
+

Dockerfile

@@ -34,17 +34,17 @@ COPY assets/ ./assets/
 COPY .streamlit/ .streamlit/
 
 # Set environment variables for Streamlit
-ENV STREAMLIT_SERVER_PORT=7860
 ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
 ENV STREAMLIT_SERVER_HEADLESS=true
 ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
 
-# Expose port 7860 (required for Hugging Face Spaces)
+# HuggingFace Spaces provides $PORT environment variable
+# Expose port (will be set by Hugging Face Spaces)
 EXPOSE 7860
 
-# Health check
+# Health check (uses PORT env var)
 HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
-    CMD curl --fail http://localhost:7860/_stcore/health || exit 1
+    CMD curl --fail http://localhost:${PORT:-7860}/_stcore/health || exit 1
 
-# Run Streamlit app
-CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.headless=true"]
+# Run Streamlit app using PORT env var from Hugging Face Spaces
+CMD ["bash", "-c", "streamlit run app.py --server.address=0.0.0.0 --server.port=${PORT:-7860} --server.headless=true"]

app.py

@@ -6,8 +6,10 @@ from gateway_client import delete_profile, ingest_and_rewrite
 from llm import chat, set_model
 from model_config import MODEL_CHOICES, MODEL_TO_PROVIDER
 
-# Configure Streamlit for Hugging Face Spaces (port 7860)
-os.environ["STREAMLIT_SERVER_PORT"] = "7860"
+# Configure Streamlit for Hugging Face Spaces
+# Use PORT env var if provided (Hugging Face Spaces sets this), otherwise default to 7860
+port = os.getenv("PORT", "7860")
+os.environ["STREAMLIT_SERVER_PORT"] = port
 os.environ["STREAMLIT_SERVER_ADDRESS"] = "0.0.0.0"