Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from transformers import pipeline
 
 # Load the Hugging Face model
-emotion_classifier = pipeline("text-classification", model="SamLowe/roberta-base-go_emotions", return_all_scores=True)
+emotion_classifier = pipeline("text-classification", model="SamLowe/roberta-base-go_emotions", top_k=None)
 
 # Define a function to process the transcribed text with the emotion model
 def transcribe_and_analyze(audio):
@@ -16,7 +16,7 @@ def transcribe_and_analyze(audio):
 # Create Gradio interface
 interface = gr.Interface(
     fn=transcribe_and_analyze,
-    inputs=gr.Audio(source="microphone", type="filepath"),  # Accept audio input
+    inputs=gr.Audio(type="filepath"),  # Accept audio input (fixed)
     outputs=[
         gr.Textbox(label="Transcription"),  # Show the transcription
         gr.JSON(label="Emotion Analysis")  # Show the emotion analysis