updates

app.py

@@ -43,10 +43,6 @@ def create_app():
 
         # Create tabs for different tasks
         with gr.Tabs():
-
-            with gr.Tab("All Tasks"):
-                create_leaderboard_tab("All Tasks", leaderboard_data, rows_per_page=30)
-
             with gr.Tab("Speech Recognition"):
                 create_leaderboard_tab("Speech Recognition", leaderboard_data, rows_per_page=30)
 
@@ -62,28 +58,6 @@ def create_app():
             with gr.Tab("Request a model"):
                 create_submit_tab()
 
-            with gr.Tab("About"):
-                gr.Markdown("""
-                ## About ESPnet Leaderboard
-
-                This leaderboard is powered by the ESPnet toolkit, an end-to-end speech processing toolkit.
-
-                ### How to Submit
-
-                To submit your model results:
-                1. Prepare your results in the required format
-                2. Submit via the **Request a model** tab
-                3. Results will be automatically updated on the leaderboard
-
-                ### Data Sources
-
-                All data is loaded from Hugging Face datasets and updated regularly.
-
-                ### Contact
-
-                For questions or issues, please visit: [ESPnet GitHub](https://github.com/espnet/espnet)
-                """)
-
         # Footer
         gr.HTML("""
             <div class="footer-text">

espnet_leaderboard/display/css_html_js.py

@@ -24,6 +24,25 @@ CUSTOM_CSS = """
     overflow: hidden;
 }
 
+/* Leaderboard tab container */
+.leaderboard-tab-container {
+    max-height: calc(100vh - 250px);
+    overflow-y: auto;
+    overflow-x: hidden;
+    padding-right: 10px;
+}
+
+/* Dataframe container */
+.dataframe-container {
+    max-height: 650px;
+    overflow-y: auto;
+    overflow-x: auto;
+    margin: 10px 0;
+    border: 1px solid #e0e0e0;
+    border-radius: 8px;
+    padding: 5px;
+}
+
 /* Table styling */
 .dataframe {
     border-collapse: collapse !important;

espnet_leaderboard/display/tabs.py

@@ -111,7 +111,6 @@ def create_leaderboard_tab(
 
 
 def create_submit_tab():
-    gr.Markdown("## Request a model here!")
     def _submit_model(model_text):
         if (model_text is None) or len(model_text) < 1:
             return model_text
@@ -139,109 +138,46 @@ def create_submit_tab():
         )
         return ""
 
-    def _check_custom_file(json_file):
-        # Check if file is None or empty
-        if json_file is None:
-            return
-        
-        # Get the file path
-        file_path = json_file.name if hasattr(json_file, 'name') else str(json_file)
-        
-        # Check if the file has .json extension
-        if not file_path.lower().endswith('.json'):
-            gr.Warning(
-                "Invalid file format. Please upload a JSON file with .json extension."
-            )
-            return
-        
-        # Try to validate JSON content
-        try:
-            with open(file_path, 'r') as f:
-                json_content = json.load(f)
-            gr.Info(
-                f"JSON file <b>{file_path.split('/')[-1]}</b> uploaded successfully.<br/>"  
-                "File is being validated."
-            )
-            # Return None to clear the file component after successful upload
-            return json_file
-        except json.JSONDecodeError as e:
-            gr.Warning(
-                f"Invalid JSON format: {str(e)}"
+    with gr.Column():
+        gr.Markdown("## Request a model here!")
+
+    with gr.Row():
+        with gr.Column(scale=1):
+            gr.Markdown(
+                """### How to Submit
+
+                To submit your model results:
+                1. Prepare your results in the required format and upload the model to HuggingFace
+                2. Write down your repository name in the "Model name" text box
+                3. Results will be automatically updated on the leaderboard
+
+                """
             )
-            return
-        except Exception as e:
-            gr.Warning(
-                f"Error reading file: {str(e)}"
+
+        with gr.Column(scale=1):
+            model_box = gr.Textbox(
+                label="Model name", 
+                placeholder="Repository in format: ''user_name/model_name''", 
+                scale=3,
+                max_lines=1,
             )
-            return
+            submit_model_btn = gr.Button("Submit ✉️")
+    
+    gr.Markdown(
+        """### Data Sources
 
-    def _submit_custom(json_file):
-        if json_file is None:
-            return json_file
+        All data is loaded from Hugging Face datasets and updated regularly.
 
-        with open(json_file, "r", encoding="utf-8") as reader:
-            # Here the content is loaded as string to be saved in the database.
-            content = reader.read()
-        gr.Info(
-            f"Custom results <b>{json_file}</b> submitted.<br/>"
-            "Thank you for your submission."
-        )
-        return
-
-    with gr.Tabs():
-        with gr.Tab("From Huggingface Hub"):
-            with gr.Row():
-                with gr.Column(scale=1):
-                    model_box = gr.Textbox(
-                        label="Model name", 
-                        placeholder="Repository in format: ''user_name/model_name''", 
-                        scale=3,
-                        max_lines=1,
-                    )
-                with gr.Column(scale=1):
-                    pass
-
-            with gr.Row():
-                with gr.Column(scale=1):
-                    submit_model_btn = gr.Button("Submit ✉️")
-                with gr.Column(scale=2):
-                    pass
-
-        with gr.Tab("From Custom results"):
-            gr.Markdown("Submit your results in JSON format here: ")
-            gr.Markdown("The file needs to have the fields detailed [here](https://github.com/espnet/espnet).")
-            with gr.Row():
-                with gr.Column(scale=2):
-                    custom_file = gr.File(file_types=[".json"])
-                    with gr.Row():
-                        with gr.Column():
-                            upload_button = gr.UploadButton(
-                                label="Upload JSON File",
-                                file_types=[".json"],
-                                file_count="single",
-                            )
-                        with gr.Column():
-                            submit_custom_button = gr.Button(
-                                "Submit ✉️"
-                            )
-                with gr.Column(scale=1):
-                    pass
-                
+        ### Contact
+
+        For questions or issues, please visit: [ESPnet GitHub](https://github.com/espnet/espnet)
+        """
+    )
 
     submit_model_btn.click(
         fn=_submit_model,
         inputs=[model_box],
         outputs=[model_box]
     )
-    submit_custom_button.click(
-        fn=_submit_custom,
-        inputs=[custom_file],
-        outputs=[custom_file]
-    )
-    upload_button.upload(
-        fn=_check_custom_file,
-        inputs=[upload_button],
-        outputs=[custom_file]
-    )
-    
+
     return