UPDATE: deploymet changed from railways to huggingface spcae

.github/workflows/deploy-to-hf-space.yml

@@ -0,0 +1,28 @@
+name: Sync to Hugging Face Space
+
+on:
+  push:
+    branches: [main] # Trigger on push to the 'main' branch
+
+  # Allow manual workflow dispatch
+  workflow_dispatch:
+
+jobs:
+  sync-to-space:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          lfs: true
+
+      # - name: Check large files
+      #   uses: ActionsDesk/lfs-warning@v2.0
+      #   with:
+      #     filesizelimit: 10485760 # 10MB limit for HF Spaces
+
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git push https://${{ secrets.HF_USERNAME }}:${{ secrets.HF_TOKEN }}@huggingface.co/spaces/${{ secrets.HF_USERNAME }}/${{secrets.SPACE_NAME }} main

Dockerfile

@@ -7,8 +7,9 @@ WORKDIR /app
 # Set environment variables
 ENV PYTHONUNBUFFERED=1
 ENV PYTHONDONTWRITEBYTECODE=1
-ENV STREAMLIT_SERVER_PORT=8501
+ENV STREAMLIT_SERVER_PORT=7860
 ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
+ENV PORT=7860
 
 # Install system dependencies in one layer
 RUN apt-get update && apt-get install -y \
@@ -37,12 +38,12 @@ RUN useradd -m -u 1000 streamlit && \
     chown -R streamlit:streamlit /app
 USER streamlit
 
-# Expose port (Railway will set $PORT)
-EXPOSE 8501
+# Expose port (Hugging Face Spaces uses port 7860)
+EXPOSE 7860
 
 # Health check
 HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
-    CMD curl -f http://localhost:$PORT/_stcore/health || exit 1
+    CMD curl -f http://localhost:7860/_stcore/health || exit 1
 
-# Run the application (Railway will set $PORT)
+# Run the application
 CMD ["python", "start_services.py"] 

README.md

@@ -1,3 +1,14 @@
+---
+title: QueryStockAI
+emoji: 📈
+colorFrom: blue
+colorTo: green
+sdk: docker
+pinned: false
+license: mit
+short_description: AI-powered financial analysis and trading assistant
+---
+
 # QueryStockAI
 
 A comprehensive financial analysis tool that provides stock data, news analysis, and AI-powered insights through an interactive Streamlit web interface. Features advanced machine learning-based stock price predictions using Ridge Regression with comprehensive technical indicators and an AI agent which answers user's queries based on stock dayta and news sentiment.

railway.toml

@@ -1,16 +0,0 @@
-[build]
-builder = "DOCKERFILE"
-dockerfilePath = "Dockerfile"
-
-[deploy]
-startCommand = "python start_services.py"
-healthcheckPath = "/_stcore/health"
-healthcheckTimeout = 300
-restartPolicyType = "ON_FAILURE"
-restartPolicyMaxRetries = 10
-
-[env]
-GROQ_API_KEY = ""
-MODEL = ""
-NEWS_SERVER_URL = "http://localhost:8002/mcp"
-STOCK_SERVER_URL = "http://localhost:8001/mcp" 

start_services.py

@@ -1,8 +1,8 @@
 #!/usr/bin/env python3
 """
-Startup script to run all services on Railway deployment.
+Startup script to run all services on Hugging Face Spaces deployment.
 This script launches:
-1. Streamlit app on $PORT (main port)
+1. Streamlit app on $PORT (main port, 7860 for HF Spaces)
 2. MCP Stock Server on $PORT + 1
 3. MCP News Server on $PORT + 2
 """
@@ -17,8 +17,8 @@ from pathlib import Path
 
 
 def get_port():
-    """Get the main port from Railway environment."""
-    port = os.environ.get("PORT", "8501")
+    """Get the main port from environment (Hugging Face Spaces uses 7860)."""
+    port = os.environ.get("PORT", "7860")
     return int(port)
 
 
@@ -91,7 +91,7 @@ def main():
             print(f"❌ Error: {file} not found!")
             sys.exit(1)
 
-    # Update MCP server URLs in Home.py for Railway deployment
+    # Update MCP server URLs in Home.py for Hugging Face Spaces deployment
     try:
         print("🔄 Updating MCP server URLs...")
         subprocess.run([sys.executable, "update_mcp_urls.py"], check=True)

update_mcp_urls.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 """
-Script to update MCP server URLs for Railway deployment.
+Script to update MCP server URLs for Hugging Face Spaces deployment.
 This script modifies the MCP client configuration in Home.py to use the correct ports.
 """
 
@@ -9,13 +9,13 @@ import re
 
 
 def get_port():
-    """Get the main port from Railway environment."""
-    port = os.environ.get("PORT", "8501")
+    """Get the main port from environment (Hugging Face Spaces uses 7860)."""
+    port = os.environ.get("PORT", "7860")
     return int(port)
 
 
 def update_home_py():
-    """Update Home.py to use correct MCP server URLs for Railway deployment."""
+    """Update Home.py to use correct MCP server URLs for Hugging Face Spaces deployment."""
     port = get_port()
 
     # Calculate the ports for MCP servers