HF Space: listen on PORT and add CPU torch+torchvision to requirements

app_enhanced.py

@@ -868,7 +868,7 @@ def upload_file():
         f.save(comic_generator.video_path)
         success = comic_generator.generate_comic()
         if success:
-            webbrowser.open("http://localhost:5000/comic")
+            webbrowser.open("http://localhost:7860/comic")
             return "🎉 Enhanced Comic Created Successfully!"
         else:
             return "❌ Comic generation failed"
@@ -887,7 +887,7 @@ def handle_link():
             ydl.download([link])
         success = comic_generator.generate_comic()
         if success:
-            webbrowser.open("http://localhost:5000/comic")
+            webbrowser.open("http://localhost:7860/comic")
             return "🎉 Enhanced Comic Created Successfully!"
         else:
             return "❌ Comic generation failed"
@@ -946,5 +946,13 @@ def frame_file(filename):
 
 if __name__ == '__main__':
     print("🚀 Starting Enhanced Comic Generator...")
-    print("🌐 Web interface available at: http://localhost:5000")
-    app.run(debug=True, host='0.0.0.0', port=5000)
+    print("🌐 Web interface available at: http://localhost:7860")
+    app.run(debug=True, host='0.0.0.0', port=7860)
+
+
+if __name__ == "__main__":
+    import os
+    # Hugging Face Spaces provides the port in the PORT env var.
+    port = int(os.environ.get("PORT", 7860))
+    # listen on all interfaces so the container receives external traffic
+    app.run(host="0.0.0.0", port=port)

requirements.txt

@@ -10,3 +10,8 @@ Flask==3.0.3
 --find-links https://download.pytorch.org/whl/cpu/torch_stable.html
 torch==2.2.0+cpu
 transformers==4.37.2
+
+# PyTorch CPU wheels (needed for torchvision)
+--find-links https://download.pytorch.org/whl/cpu/torch_stable.html
+torch==2.2.0+cpu
+torchvision==0.17.0+cpu