Fixed the return values from handle_submission

app.py

@@ -370,21 +370,34 @@ with demo:
 
                     # Prepare request data
                     request_data = {
-                        "model": [model],
-                        "base_model": [base_model],
-                        "revision": [revision if revision else "main"],
-                        "precision": [precision],
-                        "weight_type": [weight_type],
-                        "model_type": [model_type],
-                        "status": ["PENDING"],
-                        "timestamp": [datetime.now().isoformat()]
+                        "model": model,
+                        "base_model": base_model,
+                        "revision": revision if revision else "main",
+                        "precision": precision,
+                        "weight_type": weight_type,
+                        "model_type": model_type,
+                        "status": "PENDING",
+                        "timestamp": datetime.now().isoformat()
                     }
 
-                    # Convert request data to a Dataset
-                    dataset = Dataset.from_dict(request_data)
+                    # Create a unique filename for the request
+                    filename = f"{model.replace('/', '_')}_request.json"
 
-                    # Push the dataset to the Hugging Face Hub
-                    dataset.push_to_hub(QUEUE_REPO)
+                    # Save request data as JSON
+                    with open(filename, 'w') as f:
+                        json.dump(request_data, f, indent=2)
+
+                    # Upload the JSON file to the Hub
+                    api = HfApi()
+                    api.upload_file(
+                        path_or_fileobj=filename,
+                        path_in_repo=filename,
+                        repo_id=QUEUE_REPO,
+                        repo_type="dataset"
+                    )
+
+                    # Clean up local file
+                    os.remove(filename)
 
                     logger.info(f"Added request for {model} to {QUEUE_REPO}")
 
@@ -394,10 +407,10 @@ with demo:
                     # Start processing queue in background
                     scheduler.add_job(process_evaluation_queue, id='process_queue_job', replace_existing=True)
 
-                    return gr.Markdown("Submission successful! Your model has been added to the evaluation queue. Please check the 'Pending Evaluation Queue' for status updates."), pending_eval_queue_df
+                    return "Submission successful! Your model has been added to the evaluation queue. Please check the 'Pending Evaluation Queue' for status updates.", pending_eval_queue_df
                 except Exception as e:
                     logger.error(f"Submission failed: {str(e)}", exc_info=True)
-                    return gr.Markdown(f"Error: {str(e)}"), None
+                    return f"Error: {str(e)}", None
 
             # Remove the queue_manager initialization
             # queue_manager = QueueManager(queue_dir=os.path.join(CACHE_PATH, "eval-queue"))
@@ -412,7 +425,7 @@ with demo:
                     weight_type,
                     model_type,
                 ],
-                submission_result,
+                [submission_result, pending_eval_table],
             )
 
     with gr.Row():