hotfix 1.6

app.py

@@ -23,7 +23,7 @@ model = WhisperModel(MODEL_NAME, device=device, compute_type="float16" if device
 def transcribe(inputs, task):
     if inputs is None:
         raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.")
-    segments, info = model.transcribe(input, beam_size=5,batch_size=BATCH_SIZE, vad_filter=True, word_timestamps=False)
+    segments, info = model.transcribe(input, beam_size=5, vad_filter=True, word_timestamps=False)
     transcription = " ".join([segment.text for segment in segments])
     
     #text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
@@ -84,7 +84,7 @@ def yt_transcribe(yt_url, task, max_filesize=75.0):
     #inputs = {"array": inputs, "sampling_rate": pipe.feature_extractor.sampling_rate}
 
     #text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
-    segments, info = model.transcribe(filepath, beam_size=5,batch_size=BATCH_SIZE, vad_filter=True, word_timestamps=False)
+    segments, info = model.transcribe(filepath, beam_size=5, vad_filter=True, word_timestamps=False)
     transcription = " ".join([segment.text for segment in segments])
 
     return html_embed_str, transcription