Update app.py

app.py

@@ -37,7 +37,7 @@ pipe = pipeline(
 
 pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language=lang, task="transcribe")
 
-# task = "transcribe"
+
 
 def transcribe_audio(audio_file):
     if audio_file.endswith(".m4a"):
@@ -46,15 +46,7 @@ def transcribe_audio(audio_file):
     start_time = time.time()
 
     with torch.no_grad():
-        output = pipe(
-            audio_file,
-            chunk_length_s=30,
-            generate_kwargs={
-                # "task": task,
-                "pad_token_id": processor.tokenizer.pad_token_id,
-                "eos_token_id": processor.tokenizer.eos_token_id
-            }
-        )
+        output = pipe(audio_file)
 
     text = output["text"]
     end_time = time.time()