Update app.py

app.py

@@ -8,20 +8,10 @@ import os
 token = os.getenv("HF_TOKEN")
 login(token=token)
 
-# Whisper Model Optimization
-model = "openai/whisper-tiny"
-DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 
-processor = AutoProcessor.from_pretrained(model)
+DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 
 
-transcriber = pipeline(
-    "automatic-speech-recognition",
-    model=model,
-    tokenizer=processor.tokenizer,
-    feature_extractor=processor.feature_extractor,
-    device=0 if torch.cuda.is_available() else "cpu",
-)
 
 
 
@@ -29,7 +19,18 @@ transcriber = pipeline(
 def process_audio(audio_file):
     if audio_file is None:
         return "Error: No audio provided!"
-
+    
+    # Whisper Model Optimization
+    model = "openai/whisper-tiny"
+    processor = AutoProcessor.from_pretrained(model)
+    
+    transcriber = pipeline(
+        "automatic-speech-recognition",
+        model=model,
+        tokenizer=processor.tokenizer,
+        feature_extractor=processor.feature_extractor,
+        device=0 if torch.cuda.is_available() else "cpu",
+    )
     # Transcribe audio
     transcript = transcriber(audio_file,return_timestamps=True)["text"]
     del transcriber