Update app.py

app.py

@@ -4,7 +4,7 @@ from transformers import pipeline
 # Load Whisper for speech-to-text
 whisper = pipeline("automatic-speech-recognition", model="openai/whisper-medium")
 
-# Load a different sentiment analysis model
+# Load a sentiment analysis model
 sentiment_analyzer = pipeline("sentiment-analysis", model="cardiffnlp/twitter-roberta-base-sentiment")
 
 # Function to process audio and analyze tone
@@ -42,7 +42,7 @@ def gradio_interface(audio):
 # Create Gradio app
 interface = gr.Interface(
     fn=gradio_interface,
-    inputs=gr.Audio(source="microphone", type="filepath", label="Record or Upload Audio"),
+    inputs=gr.Audio(type="filepath", label="Record or Upload Audio"),
     outputs=gr.Textbox(label="Analysis Result", lines=5),
     title="Real-Time Call Analysis",
     description="Record or upload audio to analyze tone and sentiment in real time.",