Update app.py

meta-llama/Meta-Llama-3.1-405B-Instruct

app.py

@@ -21,7 +21,7 @@ def respond_to_question_llama(transcript, question):
     from huggingface_hub import InferenceClient
 
     client = InferenceClient(
-        "meta-llama/Meta-Llama-3.1-8B-Instruct",
+        "meta-llama/Meta-Llama-3.1-405B-Instruct",
         token=os.environ["HUGGINGFACEHUB_API_TOKEN"],
     )
 
@@ -39,7 +39,8 @@ def audio_transcribe(inputs):
 
     text = pipe(inputs, batch_size=BATCH_SIZE, return_timestamps=True)["text"]
 
-    return  text
+    return [text, gr.Textbox(visible=True),gr.Textbox(visible=True),gr.Textbox(visible=True)]
+
 
 with gr.Blocks() as transcriberUI:
     gr.Markdown(
@@ -51,9 +52,9 @@ with gr.Blocks() as transcriberUI:
     )
     inp = gr.File(label="Arquivo de Audio", show_label=True, type="filepath", file_count="single", file_types=["mp3"])
     transcribe = gr.Textbox(label="Transcricao", show_label=True, show_copy_button=True)
-    ask_question = gr.Textbox(label="Ask a question", visible=True)
-    response_output = gr.Textbox(label="Response", visible=True)
-    submit_question = gr.Button("Submit question", visible=True)
+    ask_question = gr.Textbox(label="Ask a question", visible=False)
+    response_output = gr.Textbox(label="Response", visible=False)
+    submit_question = gr.Button("Submit question", visible=False)
     clear_button = gr.ClearButton([transcribe,response_output,inp, ask_question]) 
 
     def ask_question_callback(transcription,question):
@@ -66,6 +67,7 @@ with gr.Blocks() as transcriberUI:
 
     inp.upload(audio_transcribe, inputs=inp, outputs=transcribe)
     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])
 
 
 transcriberUI.queue().launch()