Update app.py

app.py

@@ -9,15 +9,24 @@ history = ""
 last_answer = ""
 
 examples_audio_classification = [
-    "content/crowd_laughing.mp3",
-    "content/nature-ambient-sound.mp3",
     "content/talking-people.mp3",
     "content/miaow_16k.wav",
+    "content/birds-in-forest-lopp.wav",
+    "content/drumming-jungle-music.wav",
+    "content/driving-in-the-rain.wav",
+    "content/city-alert-siren.wav",
+    "content/small-group-applause.wav",
+    "content/angry-male-crowd-ambience.wav",
+    "content/slow-typing-on-a-keyboard.wav",
+    "content/emergency-car-arrival.wav"
 ]
 
 examples_speech_recognition_en = [
     "content/speech1-en.wav",
     "content/speech2-en.wav",
+    "content/speech1-ptbr.wav",
+    "content/speech2-ptbr.wav",
+    "content/speech3-ptbr.wav"
 ]
 examples_speech_recognition_ptbr = [
     "content/speech1-ptbr.wav",
@@ -135,7 +144,7 @@ with gr.Blocks() as demo:
           inputRecord.stop_recording(transcribe_speech, [inputRecord, language], [output])
           inputUpload.upload(transcribe_speech, [inputUpload, language], [output])
 
-          examplesSpeechEn = gr.Examples(fn=transcribe_speech, examples=examples_speech_recognition_en, inputs=[inputRecord], outputs=[output], run_on_click=True, label="English 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: