Correctly catch errors in on_model_change.

app.py

@@ -67,7 +67,7 @@ def error_str(error, title="Error", model=None, task=None, framework=None, compu
             Error: {error}
             """)
         issue_url = f"https://huggingface.co/spaces/pcuenq/transformers-to-coreml/discussions/new?title={issue_title}&description={issue_description}"
-        discussion_text = f"It could be that the model is not yet compatible with the Core ML exporter. Please, open a discussion on the [Hugging Face Hub]({issue_url}) to report this issue."
+        discussion_text = f"You can open a discussion on the [Hugging Face Hub]({issue_url}) to report this issue."
     return f"""
         #### {title}
         {error}
@@ -107,6 +107,8 @@ def on_model_change(model):
     model = url_to_model_id(model)    
     tasks = None
     error = None
+    frameworks = []
+    selected_framework = None
 
     try:
         config_file = hf_hub_download(model, filename="config.json")
@@ -124,16 +126,18 @@ def on_model_change(model):
 
         frameworks = supported_frameworks(model)
         selected_framework = frameworks[0] if len(frameworks) > 0 else None
-        return (
-            gr.update(visible=bool(model_type)),                                                    # Settings column
-            gr.update(choices=tasks, value=tasks[0] if tasks else None),                            # Tasks
-            gr.update(visible=len(frameworks)>1, choices=frameworks, value=selected_framework),     # Frameworks
-            gr.update(value=error_str(error, model=model)),                                         # Error
-        )
     except Exception as e:
         error = e
         model_type = None
 
+    return (
+        gr.update(visible=bool(model_type)),                                                    # Settings column
+        gr.update(choices=tasks, value=tasks[0] if tasks else None),                            # Tasks
+        gr.update(visible=len(frameworks)>1, choices=frameworks, value=selected_framework),     # Frameworks
+        gr.update(value=error_str(error, model=model)),                                         # Error
+    )
+
+
 
 def convert_model(preprocessor, model, model_coreml_config,
                   compute_units, precision, tolerance, output,