Update app.py

app.py

@@ -52,7 +52,21 @@ with gr.Blocks() as transcriberUI:
         Ambiente disponivel 24x7. Running on ZeroGPU with openai/whisper-large-v3
         """
     )
-    inp = gr.Audio(sources="upload", type="filepath", label="Audio file", format=["mp3","m4a"])
+
+    file_transcribe = gr.Interface(
+        fn=transcribe,
+        inputs=gr.Audio(sources="upload", type="filepath", label="Audio file", format=["mp3","m4a"]),
+        outputs=[audio_transcribe,ask_question,submit_question, response_output],
+        title="Chat with your Audio",
+        description=(
+            "Transcribe and Chat with your audio inputs with the click of a button! This prototype uses the"
+            f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
+            " of arbitrary length."
+        ),
+        allow_flagging="never",
+    )
+
+    #inp = gr.Audio(sources="upload", type="filepath", label="Audio file", format=["mp3","m4a"])
     transcribe = gr.Textbox(label="Transcricao", show_label=True, show_copy_button=True)
     ask_question = gr.Textbox(label="Ask a question", visible=False)
     response_output = gr.Textbox(label="Response", visible=False)
@@ -67,7 +81,7 @@ with gr.Blocks() as transcriberUI:
 
         return response
 
-    inp.upload(audio_transcribe, inputs=inp, outputs=[transcribe,ask_question,submit_question, response_output])
+    #inp.upload(audio_transcribe, inputs=inp, outputs=[transcribe,ask_question,submit_question, response_output])
     submit_question.click(ask_question_callback, outputs=[response_output], inputs=[transcribe, ask_question])
     clear_button.click(hidden_ask_question,outputs=[ask_question,response_output,submit_question])