Update app.py

app.py

@@ -19,6 +19,7 @@ model.to(device)
 
 # ✅ 3️⃣ Load Processor & Pipeline
 processor = AutoProcessor.from_pretrained(MODEL_NAME)
+processor.feature_extractor.sampling_rate = 16000  # ✅ Set correct sampling rate here
 
 pipe = pipeline(
     task="automatic-speech-recognition",
@@ -28,7 +29,6 @@ pipe = pipeline(
     chunk_length_s=2,  # ✅ Process in 2-second chunks for ultra-low latency
     torch_dtype=torch_dtype,
     device=device,
-    sampling_rate=16000,  # ✅ Explicitly set sampling rate
 )
 
 # ✅ 4️⃣ Real-Time Streaming Transcription (Microphone)