Cleaned up code

app.py

@@ -6,14 +6,12 @@ import gradio as gr
 
 asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
 
+classifier = pipeline("text-classification", model="bhadresh-savani/distilbert-base-uncased-emotion")
+
 def transcribe(audio):
     text = asr(audio)["text"]
     return text
 
-classifier = pipeline(
-    "text-classification",
-    model="bhadresh-savani/distilbert-base-uncased-emotion")
-
 def speech_to_text(speech):
     text = asr(speech)["text"]
     return text
@@ -25,17 +23,17 @@ def text_to_sentiment(text):
 demo = gr.Blocks()
 
 with demo:
-    #audio_file = gr.Audio(type="filepath")
+
     audio_file = gr.inputs.Audio(source="microphone", type="filepath")
+    b1 = gr.Button("Recognize Speech") 
+    b1.click(speech_to_text, inputs=audio_file, outputs=text)
     text = gr.Textbox()
-    label = gr.Label()
-    saved = gr.Textbox()
-    savedAll = gr.Textbox()
-    
-    b1 = gr.Button("Recognize Speech")
+ 
     b2 = gr.Button("Classify Sentiment")
-
-    b1.click(speech_to_text, inputs=audio_file, outputs=text)
     b2.click(text_to_sentiment, inputs=text, outputs=label)
+    label = gr.Label()
+    
+    
+    
     
 demo.launch(share=True)