Enhance model information retrieval: include number of downloads and likes in the fetch_model_information function and update UI elements accordingly.

utils.py

@@ -36,13 +36,13 @@ def get_model_info(model_id, verbose=False):
 
 def fetch_model_information(model_name):
     try:
-        _, _, license, num_parameters, supported_precisions = get_model_info(model_name)
+        num_downloads, num_likes, license, num_parameters, supported_precisions = get_model_info(model_name)
         if len(supported_precisions) == 0:
             supported_precisions = [None]
     except Exception as e:
         gr.Error(f"Error: Could not fetch model information. {str(e)}")
         return
-    return gr.update(choices=supported_precisions, value=supported_precisions[0]), num_parameters, license
+    return gr.update(choices=supported_precisions, value=supported_precisions[0]), license, num_parameters, num_downloads, num_likes
 
 def submit_model(model_name, revision, precision, params, license, task):
     # Load existing evaluations
@@ -214,12 +214,20 @@ def submit_gradio_module(task_type):
         with gr.Row():
             params_input = gr.Textbox(
                 label="Params (in Millions)",
-                placeholder="Enter the approximate number of parameters as Integer (e.g., 7, 13, 30, 70 ...)"
+                interactive=False,
+            )
+            num_downloads_input = gr.Textbox(
+                label="Number of Downloads",
+                interactive=False,
+            )
+            num_likes_input = gr.Textbox(
+                label="Number of Likes",
+                interactive=False,
             )
         
         submit_button = gr.Button("Submit Model", variant="primary")
         submission_result = gr.Markdown()
-        fetch_outputs = [precision_input, params_input, license_input]
+        fetch_outputs = [precision_input, license_input, params_input, num_downloads_input, num_likes_input]
 
         fetch_data_button.click(
             fetch_model_information,