small fixes

app.py

@@ -162,10 +162,7 @@ def process(
     logging.info(info)
     logging.info(f"\nrepo_id: {repo_id}\nDetected events: {events}")
 
-    events = {
-        "headers": ["Event name", "Probability"],
-        "data": [["bird", 0.9], ["pig", 0.8]],
-    }
+    events = [["bird", 0.9], ["pig", 0.8]]
 
     return events, build_html_output(info)
 
@@ -223,7 +220,10 @@ with demo:
                     model_dropdown,
                     uploaded_file,
                 ],
-                outputs=[gr.Dataframe(), uploaded_html_info],
+                outputs=[
+                    gr.Dataframe(headers=["Event", "Probability"]),
+                    uploaded_html_info,
+                ],
                 fn=process_uploaded_file,
             )
 
@@ -243,7 +243,10 @@ with demo:
                     model_dropdown,
                     microphone,
                 ],
-                outputs=[gr.Dataframe(), recorded_html_info],
+                outputs=[
+                    gr.Dataframe(headers=["Event", "Probability"]),
+                    recorded_html_info,
+                ],
                 fn=process_microphone,
             )
 
@@ -264,7 +267,10 @@ with demo:
                 model_dropdown,
                 uploaded_file,
             ],
-            outputs=[gr.Dataframe(), uploaded_html_info],
+            outputs=[
+                gr.Dataframe(headers=["Event", "Probability"]),
+                uploaded_html_info,
+            ],
         )
 
         record_button.click(
@@ -273,7 +279,10 @@ with demo:
                 model_dropdown,
                 microphone,
             ],
-            outputs=[gr.Dataframe(), recorded_html_info],
+            outputs=[
+                gr.Dataframe(headers=["Event", "Probability"]),
+                recorded_html_info,
+            ],
         )
 
         url_button.click(
@@ -282,7 +291,7 @@ with demo:
                 model_dropdown,
                 url_textbox,
             ],
-            outputs=[gr.Dataframe(), url_html_info],
+            outputs=[gr.Dataframe(headers=["Event", "Probability"]), url_html_info],
         )
 
     gr.Markdown(description)