Update app.py

app.py

@@ -84,12 +84,30 @@ def create_pdf_report(coverage_percent, extracted_texts, annotated_image_path, o
 
 def upload_image_and_get_url(image_path):
     """
-    TODO: Implement your image upload to public storage here.
-    For now, returns a placeholder URL.
+    Upload the image to a public directory in Hugging Face Space and return a public URL.
+    Assumes the app is hosted in a Hugging Face Space with a public /uploads folder.
     """
-    # Example: upload to AWS S3, Azure Blob Storage, or other service
-    # Return the public URL to the uploaded image
-    return "https://example.com/path/to/your/annotated_image.jpg"
+    import shutil
+    import os
+    from datetime import datetime
+    import uuid
+
+    # Define the public uploads directory in the Hugging Face Space
+    public_dir = os.path.join("/home/user/app/uploads")  # Adjust path based on Hugging Face Space structure
+    os.makedirs(public_dir, exist_ok=True)  # Create directory if it doesn't exist
+
+    # Generate a unique filename to avoid conflicts
+    unique_filename = f"{uuid.uuid4().hex}_{datetime.utcnow().strftime('%Y%m%d_%H%M%S')}.jpg"
+    destination_path = os.path.join(public_dir, unique_filename)
+
+    # Copy the image to the public directory
+    shutil.copy(image_path, destination_path)
+
+    # Construct the public URL (adjust the base URL to match your Hugging Face Space)
+    space_url = os.environ.get('HF_SPACE_URL', 'https://your-username-your-space-name.hf.space')  # Replace with your Space URL
+    public_url = f"{space_url}/uploads/{unique_filename}"
+
+    return public_url
 
 def save_record_to_salesforce(annotated_image_url, coverage_percent, original_image_pil, compliance_threshold=80):
     sf = Salesforce(