Update app.py

app.py

@@ -42,29 +42,29 @@
 #     return image_pathsgg
 
 # === Send Image to Backend ===
-def send_to_backend(img_path, user_id):
-    if not user_id:
-        return "❌ user_id not found in URL."
+# def send_to_backend(img_path, user_id):
+#     if not user_id:
+#         return "❌ user_id not found in URL."
 
-    if not img_path or not os.path.exists(img_path):
-        return "⚠️ No image selected or image not found."
+#     if not img_path or not os.path.exists(img_path):
+#         return "⚠️ No image selected or image not found."
 
-    try:
-        with open(img_path, 'rb') as f:
-            files = {'file': ('generated_image.png', f, 'image/png')}
+#     try:
+#         with open(img_path, 'rb') as f:
+#             files = {'file': ('generated_image.png', f, 'image/png')}
 
-            # Your backend endpoint here
-            url = f"https://9429-103-40-74-83.ngrok-free.app/images/upload/{user_id}"
-            response = requests.post(url, files=files)
+#             # Your backend endpoint here
+#             url = f"https://e335-103-40-74-83.ngrok-free.app/images/upload/{user_id}"
+#             response = requests.post(url, files=files)
 
-        if response.status_code == 201:
-            return "✅ Image uploaded and saved to database!"
-        else:
-            console.log({response.text})
-            return f"❌ Upload failed: {response.status_code} - {response.text}"
+#         if response.status_code == 201:
+#             return "✅ Image uploaded and saved to database!"
+#         else:
+#             console.log({response.text})
+#             return f"❌ Upload failed: {response.status_code} - {response.text}"
 
-    except Exception as e:
-        return f"⚠️ Error: {str(e)}"
+#     except Exception as e:
+#         return f"⚠️ Error: {str(e)}"
 
 # # === Gradio Interface ===
 # with gr.Blocks() as demo:
@@ -138,6 +138,66 @@ with open("blazer_model.pkl", "rb") as f:
 clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32").eval().cpu()
 clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
 
+# def send_to_backend(img_path, user_id):
+#     if not user_id:
+#         return "❌ user_id not found in URL."
+
+#     if not img_path or not os.path.exists(img_path):
+#         return "⚠️ No image selected or image not found."
+
+#     try:
+#         with open(img_path, 'rb') as f:
+#             files = {'file': ('generated_image.png', f, 'image/png')}
+
+#             # Your backend endpoint here
+#             url = f"https://e335-103-40-74-83.ngrok-free.app/images/upload/{user_id}"
+#             response = requests.post(url, files=files)
+
+#         if response.status_code == 201:
+#             return "✅ Image uploaded and saved to database!"
+#         else:
+#             console.log({response.text})
+#             return f"❌ Upload failed: {response.status_code} - {response.text}"
+
+#     except Exception as e:
+#         return f"⚠️ Error: {str(e)}"
+
+
+import os
+import requests  # Make sure you import this!
+
+def send_to_backend(img_path, user_id):
+    print(f"💡 [DEBUG] Sending image to backend | img_path={img_path}, user_id={user_id}")
+    
+    if not user_id:
+        print("❌ [DEBUG] Missing user_id in URL.")
+        return "❌ user_id not found in URL."
+
+    if not img_path or not os.path.exists(img_path):
+        print("⚠️ [DEBUG] Image path invalid or does not exist.")
+        return "⚠️ No image selected or image not found."
+
+    try:
+        with open(img_path, 'rb') as f:
+            files = {'file': ('generated_image.png', f, 'image/png')}
+            url = f"https://e335-103-40-74-83.ngrok-free.app/images/upload/{user_id}"
+            print(f"🔁 [DEBUG] Sending POST to {url}")
+            response = requests.post(url, files=files)
+        
+        print(f"📩 [DEBUG] Response: {response.status_code} - {response.text}")
+        if response.status_code == 201 or response.status_code == 200:
+            return "✅ Image uploaded and saved to database!"
+        else:
+            return f"❌ Upload failed: {response.status_code} - {response.text}"
+
+    except Exception as e:
+        print(f"⚠️ [ERROR] Exception during upload: {str(e)}")
+        return f"⚠️ Error: {str(e)}"
+
+
+
+
+
 # Generate images
 def generate_images(G, num_images=10):  # Reduce for CPU performance
     z = torch.randn(num_images, G.z_dim)