Update app.py

app.py

@@ -87,17 +87,17 @@ with gr.Blocks() as demo:
     gr.Markdown("## African ASR Evaluation Platform")
 
     with gr.Row():
+        lang = gr.Dropdown(list(model_map.keys()), label="Select Language", value=None)
         audio_input = gr.Audio(sources=["upload", "microphone"], type="filepath", label="Upload or record audio")
-        lang = gr.Dropdown(list(model_map.keys()), label="Select Language",value=None )
-        user_id = gr.Textbox(label="Please enter user ID.*")
-
-    transcribed_text = gr.Textbox(label="Transcription")
+        
+    transcribed_text = gr.Textbox(label="Transcription", interactive=False)
     submit_btn = gr.Button("Transcribe")
     submit_btn.click(fn=transcribe, inputs=[audio_input, lang], outputs=[transcribed_text, audio_input])
 
     gr.Markdown("---\n## Feedback Form")
-    env = gr.Dropdown(["Studio/Professional Recording", "Quiet Room (minimal noise)", "Noisy Background (e.g., street, cafe, market)","Other"], label="What was the type of recording environment for the speech you evaluated? *",value=None)
-    device = gr.Dropdown(["Mobile Phone/Tablet", "Laptop/Computer Microphone", "Dedicated Microphone (e.g., headset, studio mic)", "Other"], label="What type of recording device  was used? *",value=None)
+    user_id = gr.Textbox(label="Please enter user ID.*")
+    env = gr.Dropdown(["Studio/Professional Recording", "Quiet Room (minimal noise)", "Noisy Background (e.g., street, cafe, market)"], label="What was the type of recording environment for the speech you evaluated? *",value=None)
+    device = gr.Dropdown(["Mobile Phone/Tablet", "Laptop/Computer Microphone", "Dedicated Microphone (e.g., headset, studio mic)"], label="What type of recording device  was used? *",value=None)
     domain = gr.Textbox(label="Was the speech related to a specific topic? If yes, please specify the topic (e.g., news, education, medical, law, religious, sports, science).")
     accuracy = gr.Slider(1, 10, step=1, label="Overall, how accurate was the model's transcription for the audio you reviewed? *")
     transcript_edit = gr.Textbox(label="If the transcription provided by the model was incorrect, please enter your corrected version.")
@@ -128,7 +128,7 @@ with gr.Blocks() as demo:
         transcript_edit, orthography, orthography_issues,
         meaning, meaning_loss, errors, error_examples, performance
     ],
-    outputs=[output_msg]
+    # outputs=[output_msg]
     )
 
 # Launch the interface