Update app.py

app.py

@@ -4,21 +4,20 @@ import gradio as gr
 asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
 classifier = pipeline("text-classification", "michellejieli/emotion_text_classifier")
 
-def transcribe(audio):
-    text = p(audio)["text"]
-    return text
+def transcribe(speech, state=""):
+    text = asr(speech)["text"]
+    state += text + " "
+    return text, state
     
 def speech_to_text(speech):
     text = asr(speech)["text"]
     return text
 
-
 def text_to_sentiment(text):
     return classifier(text)[0]["label"]
 
 
 demo = gr.Blocks()
-
 with demo:
 
     microphone = gr.Audio(source="microphone", type="filepath")
@@ -26,11 +25,11 @@ with demo:
     text = gr.Textbox()
     label = gr.Label()
 
-    b0 = gr.Button("Classify Sentiment")
+    b0 = gr.Button("Speech From Microphone")
     b1 = gr.Button("Recognize Speech")
     b2 = gr.Button("Classify Sentiment")
 
-    b0.click(transcribe, inputs=microphone, outputs=text)
+    b0.click(transcribe, inputs=microphone, outputs=text, "state", live=True)
     b1.click(speech_to_text, inputs=audio_file, outputs=text)
     b2.click(text_to_sentiment, inputs=text, outputs=label)