Update app.py

app.py

@@ -89,63 +89,63 @@ def to_chatbot():
 
 with gr.Blocks() as demo:
 
-    with gr.Accordion("Settings", open=True):
-      language = gr.Radio(["en-us", "pt-br"], label="Language", info="Choose the language to display the classification result and audio", value='en-us', interactive=True)
+    # with gr.Accordion("Settings", open=True):
+    #   language = gr.Radio(["en-us", "pt-br"], label="Language", info="Choose the language to display the classification result and audio", value='en-us', interactive=True)
 
     with gr.Row():
-      btn0 = gr.Button("Audio Classification", scale=1, icon='content/Audio Classification.png', size='lg')
-      btn1 = gr.Button("Realtime Audio Classification", scale=1, icon='content/Realtime Audio Classification.png', size='lg')
-      btn2 = gr.Button("Speech Recognition", scale=1, icon='content/Speech Recognition.png', size='lg')
-      btn3 = gr.Button("Help", scale=1, icon='content/Chatbot.png', size='lg')
+      btn0 = gr.Button("Classificação de áudio", scale=1, icon='content/Audio Classification.png', size='lg')
+      btn1 = gr.Button("Classificação de áudio em tempo real", scale=1, icon='content/Realtime Audio Classification.png', size='lg')
+      btn2 = gr.Button("Reconhecimento de Fala", scale=1, icon='content/Speech Recognition.png', size='lg')
+      btn3 = gr.Button("Ajuda Q&A", scale=1, icon='content/Chatbot.png', size='lg')
 
     with gr.Row(visible=False) as audio_classification:
           with gr.Column(min_width=700):
-                with gr.Accordion("Record an Audio", open=True):
-                  inputRecord = gr.Audio(label="Audio Input", source="microphone", type="filepath")
-                with gr.Accordion("Upload a file", open=False):
-                  inputUpload = gr.Audio(label="Audio Input", source="upload", type="filepath")
+                with gr.Accordion("Grave um áudio", open=True):
+                  inputRecord = gr.Audio(label="Entrada de áudio", source="microphone", type="filepath")
+                with gr.Accordion("Carregue um arquivo", open=False):
+                  inputUpload = gr.Audio(label="Entrada de áudio", source="upload", type="filepath")
                 clearBtn = gr.ClearButton([inputRecord, inputUpload])
           with gr.Column(min_width=700):
-                output = gr.Label(label="Audio Classification")
-                btn = gr.Button(value="Generate Audio")
-                audioOutput = gr.Audio(label="Audio Output", interactive=False)
+                output = gr.Label(label="Classificação de Áudio")
+                btn = gr.Button(value="Gerar áudio")
+                audioOutput = gr.Audio(label="Saída de áudio", interactive=False)
 
 
-          inputRecord.stop_recording(interface, [inputRecord, language], [output])
-          inputUpload.upload(interface, [inputUpload, language], [output])
-          btn.click(fn=TTS, inputs=[output, language], outputs=audioOutput)
+          inputRecord.stop_recording(interface, [inputRecord, "pt-br"], [output])
+          inputUpload.upload(interface, [inputUpload, "pt-br"], [output])
+          btn.click(fn=TTS, inputs=[output, "pt-br"], outputs=audioOutput)
 
           examples = gr.Examples(fn=interface, examples=examples_audio_classification, inputs=[inputRecord], outputs=[output], run_on_click=True)
 
     with gr.Row(visible=False) as realtime_classification:
           with gr.Column(min_width=700):
-                input = gr.Audio(label="Audio Input", source="microphone", type="filepath",streaming=True, every=10)
-                historyOutput = gr.Textbox(label="History", interactive=False)
+                input = gr.Audio(label="Entrada de áudio", source="microphone", type="filepath",streaming=True, every=10)
+                historyOutput = gr.Textbox(label="Histórico", interactive=False)
                 # historyOutput = gr.Label(label="History")
           with gr.Column(min_width=700):
-                output = gr.Label(label="Audio Classification")
+                output = gr.Label(label="Classificação de Áudio")
 
-          input.change(interface_realtime, [input, language], output)
+          input.change(interface_realtime, [input, "pt-br"], output)
           input.change(updateHistory, None, historyOutput)
           input.start_recording(clearHistory, None, historyOutput)
 
 
     with gr.Row(visible=False) as speech_recognition:
           with gr.Column(min_width=700):
-                with gr.Accordion("Record an Audio", open=True):
-                  inputRecord = gr.Audio(label="Audio Input", source="microphone", type="filepath")
-                with gr.Accordion("Upload a file", open=False):
-                  inputUpload = gr.Audio(label="Audio Input", source="upload", type="filepath")
+                with gr.Accordion("Grave um áudio", open=True):
+                  inputRecord = gr.Audio(label="Entrada de áudio", source="microphone", type="filepath")
+                with gr.Accordion("Carregue um arquivo", open=False):
+                  inputUpload = gr.Audio(label="Entrada de áudio", source="upload", type="filepath")
                 clearBtn = gr.ClearButton([inputRecord])
           with gr.Column(min_width=700):
-                output = gr.Label(label="Transcription")
+                output = gr.Label(label="Transcrição")
 
 
-          inputRecord.stop_recording(transcribe_speech, [inputRecord, language], [output])
-          inputUpload.upload(transcribe_speech, [inputUpload, language], [output])
+          inputRecord.stop_recording(transcribe_speech, [inputRecord, "pt-br"], [output])
+          inputUpload.upload(transcribe_speech, [inputUpload, "pt-br"], [output])
 
-          examplesSpeechEn = gr.Examples(fn=transcribe_speech, examples=examples_speech_recognition_en, inputs=[inputRecord], outputs=[output], run_on_click=True, label="Examples")
-          # examplesSpeechPtbr = gr.Examples(fn=transcribe_speech, examples=examples_speech_recognition_ptbr, inputs=[inputRecord], outputs=[output], run_on_click=True, label="Portuguese Examples")
+          # examplesSpeechEn = gr.Examples(fn=transcribe_speech, examples=examples_speech_recognition_en, inputs=[inputRecord], outputs=[output], run_on_click=True, label="Examples")
+          examplesSpeechPtbr = gr.Examples(fn=transcribe_speech, examples=examples_speech_recognition_ptbr, inputs=[inputRecord], outputs=[output], run_on_click=True, label="Portuguese Examples")
 
     with gr.Row(visible=False) as chatbot_qa:
       chatbot = gr.Chatbot(
@@ -159,28 +159,28 @@ with gr.Blocks() as demo:
         txt = gr.Textbox(
               scale=4,
               show_label=False,
-              placeholder="Enter text and press enter",
+              placeholder="Escreva o texto e precione enter",
               container=False,
               min_width=1000
           )
         submit = gr.Button(value="", size='sm', scale=1, icon='content/send-icon.png')
 
 
-        inputRecord = gr.Audio(label="Record a question", source="microphone", type="filepath", min_width=600)
-        btn = gr.Button(value="Listen the answer")
+        inputRecord = gr.Audio(label="Grave uma pergunta", source="microphone", type="filepath", min_width=600)
+        btn = gr.Button(value="Escute a resposta")
         audioOutput = gr.Audio(interactive=False, min_width=600)
 
         txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
-              chatbot_response, [chatbot, language], chatbot)
+              chatbot_response, [chatbot, "pt-br"], chatbot)
         txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
         submit.click(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
-              chatbot_response, [chatbot, language], chatbot).then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
-        inputRecord.stop_recording(transcribe_speech, [inputRecord, language], [txt])
-        btn.click(fn=TTS_chatbot, inputs=[language], outputs=audioOutput)
+              chatbot_response, [chatbot, "pt-br"], chatbot).then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
+        inputRecord.stop_recording(transcribe_speech, [inputRecord, "pt-br"], [txt])
+        btn.click(fn=TTS_chatbot, inputs=["pt-br"], outputs=audioOutput)
 
         with gr.Row(min_width=2000):
-          examplesChatbotEn = gr.Examples(examples=examples_chatbot_en, inputs=[txt], label="English Examples")
-          examplesChatbotPtbr = gr.Examples(examples=examples_chatbot_ptbr, inputs=[txt], label="Portuguese Examples")
+          # examplesChatbotEn = gr.Examples(examples=examples_chatbot_en, inputs=[txt], label="English Examples")
+          examplesChatbotPtbr = gr.Examples(examples=examples_chatbot_ptbr, inputs=[txt], label="Exemplos")
 
 
     btn0.click(fn=to_audioClassification, outputs=[audio_classification, realtime_classification, speech_recognition, chatbot_qa])