Upload app.py

app.py

@@ -1,7 +1,5 @@
 import gradio as gr
 import whisper
-import os
-import tempfile
 
 model = None
 
@@ -14,12 +12,10 @@ def load_model():
 def transcribe(file):
     if file is None:
         return "Please upload a video or audio file."
-
     try:
         m = load_model()
         result = m.transcribe(file, language="en", verbose=False)
-        transcript = result["text"].strip()
-        return transcript
+        return result["text"].strip()
     except Exception as e:
         return f"Error: {str(e)}"
 
@@ -29,7 +25,6 @@ demo = gr.Interface(
     outputs=gr.Textbox(label="Transcript", lines=15),
     title="🎙️ AI Video Transcriber",
     description="Upload any video or audio file and get a full transcript powered by OpenAI Whisper.",
-    examples=[],
     theme=gr.themes.Soft()
 )