Update app.py

app.py

@@ -3,20 +3,28 @@ from gradio_client import Client, handle_file
 
 def predict_depth(image):
     client = Client("prs-eth/marigold")
-    
-    # Prepare the API call with the necessary parameters
-    result = client.predict(
-        handle_file(image),  # Image file path
-        1,  # Example value for 'Ensemble size'
-        10,  # Example value for 'Number of denoising steps'
-        "0",  # Processing resolution choice
-        api_name="/submit_depth_fn"
-    )
-    
-    # Process the API response assuming it directly returns a file path for the depth map
-    if result and result[0]:  # Assuming the API returns the image path as the first item in a tuple
-        output_file_path = result[0]  # Directly use the returned file path
-        return output_file_path  # Return the path to the output file for download
+    try:
+        # Full parameter set assuming all are required
+        result = client.predict(
+            handle_file(image),
+            1,  # Ensemble size
+            10,  # Number of denoising steps
+            "0",  # Processing resolution
+            handle_file('https://example.com/sample_file.pdf'),  # Placeholder URL for required file inputs
+            handle_file('https://example.com/sample_file.pdf'),
+            handle_file('https://example.com/sample_file.pdf'),
+            0.5,  # Relative near plane position
+            0.9,  # Relative far plane position
+            10,  # Embossing level
+            2,  # Smoothing filter size
+            -50,  # Near plane offset
+            api_name="/submit_depth_fn"
+        )
+        if result and result[0]:
+            return result[0]
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
     return "No depth output available"
 
 # Gradio Interface