Refactor submission messages for clarity and add emojis for better user experience

utils.py

@@ -78,7 +78,7 @@ def submit_model(model_name, revision, precision, params, license, task):
     elif task == "Reranker":
         df = load_reranking_results()
     else:
-        return gr.Error(f"Error: Task '{task}' is not supported.")
+        return "Task is not supported 🤷‍♂️"
     
     existing_models_results = df[['Model', 'Revision', 'Precision', 'Task']]
 
@@ -98,7 +98,7 @@ def submit_model(model_name, revision, precision, params, license, task):
                                (existing_models_results['Precision'] == precision) &
                                (existing_models_results['Task'] == task)).any()
     if model_exists_in_results:
-        return gr.Info(f"Model '{model_name}' with revision '{revision}' and precision '{precision}' for task '{task}' has already been evaluated.")
+        return f"Model {model_name} has already been evaluated as a {task} 🎉"
 
     # Check if model is in pending requests
     if not df_pending.empty:
@@ -108,7 +108,7 @@ def submit_model(model_name, revision, precision, params, license, task):
                                    (existing_models_pending['precision'] == precision) &
                                       (existing_models_pending['task'] == task)).any()
         if model_exists_in_pending:
-            return gr.Info(f"Model '{model_name}' with revision '{revision}' and precision '{precision}' for task '{task}' is already in the evaluation queue.")
+            return f"Model {model_name} is already in the evaluation queue as a {task} 🚀"
 
     # Check if model is in finished requests
     if not df_finished.empty:
@@ -118,14 +118,14 @@ def submit_model(model_name, revision, precision, params, license, task):
                                     (existing_models_finished['precision'] == precision) &
                                     (existing_models_finished['task'] == task)).any()
         if model_exists_in_finished:
-            return gr.Info(f"Model '{model_name}' with revision '{revision}' and precision '{precision}' for task '{task}' has already been evaluated.")
+            return f"Model {model_name} has already been evaluated as a {task} 🎉"
 
     # Check if model exists on HuggingFace Hub
     try:
         api.model_info(model_name)
     except Exception as e:
         print(f"Error fetching model info: {e}")
-        return gr.Error(f"Error: Model '{model_name}' not found on HuggingFace Hub.")
+        return f"Model {model_name} not found on HuggingFace Hub 🤷‍♂️"
 
     # Proceed with submission
     status = "PENDING"
@@ -147,7 +147,7 @@ def submit_model(model_name, revision, precision, params, license, task):
     # Define the file path in the repository
     org_model = model_name.split('/')
     if len(org_model) != 2:
-        return "**Please enter the full model name including the organization or username, e.g., 'intfloat/multilingual-e5-large-instruct'**"
+        return "Please enter the full model name including the organization or username, e.g., 'intfloat/multilingual-e5-large-instruct' 🤷‍♂️"
     org, model_id = org_model
     precision_str = precision if precision else 'Missing'
     file_path_in_repo = f"pending/{org}/{model_id}_eval_request_{revision}_{precision_str}_{task.lower()}.json"
@@ -163,9 +163,9 @@ def submit_model(model_name, revision, precision, params, license, task):
         )
     except Exception as e:
         print(f"Error uploading file: {e}")
-        return gr.Error(f"Error: Could not submit model '{model_name}' for evaluation.")
+        return f"Error: Could not submit model '{model_name}' for evaluation."
 
-    return f"**Model '{model_name}' with revision '{revision}' and precision '{precision}' for task '{task}' has been submitted successfully.**"
+    return f"Model {model_name} has been submitted successfully as a {task} 🚀"
 
 def load_requests(status_folder, task_type=None):
     api = HfApi()
@@ -254,7 +254,7 @@ def submit_gradio_module(task_type):
         )
     
     submit_button = gr.Button("Submit Model", variant="primary")
-    submission_result = gr.Markdown()
+    submission_result = gr.Textbox(label="Submission Result", interactive=False)
     fetch_outputs = [precision_input, license_input, params_input, num_downloads_input, num_likes_input]
 
     fetch_data_button.click(