Update app.py

app.py

@@ -1,19 +1,19 @@
 import whisper
 import gradio as gr
 
-# Load the Whisper model
-model = whisper.load_model("base")  # You can use "small", "medium", or "large"
+# Load the Whisper model (you can change "base" to "small", "medium", or "large" depending on your needs)
+model = whisper.load_model("base")
 
 # Define the transcription function
 def transcribe(audio):
-    # Transcribe the audio file
+    # Transcribe the audio file using Whisper
     result = model.transcribe(audio)
     return result["text"]
 
-# Gradio Interface
+# Gradio Interface for uploading audio and returning the transcription
 iface = gr.Interface(
     fn=transcribe,
-    inputs=gr.Audio(source="upload", type="file"),
+    inputs=gr.Audio(type="file"),  # No need for 'source' argument
     outputs="text",
     title="Whisper Transcription",
     description="Upload an audio or video file to transcribe."