Update app.py

app.py

@@ -7,7 +7,7 @@ import tempfile
 import os
 
 MODEL_NAME = "ylacombe/whisper-large-v3-turbo"
-BATCH_SIZE = 8
+BATCH_SIZE = 32
 device = 0 if torch.cuda.is_available() else "cpu"
 
 pipe = pipeline(
@@ -19,15 +19,13 @@ pipe = pipeline(
 
 @spaces.GPU
 def transcribe(inputs, previous_transcription):
-    text = pipe(inputs[1], batch_size=BATCH_SIZE, generate_kwargs={"task": "transcribe"}, return_timestamps=True)["text"]
-    if previous_transcription:
-        text = previous_transcription + text
-    return text
+    previous_transcription += pipe(inputs[1], batch_size=BATCH_SIZE, generate_kwargs={"task": "transcribe"}, return_timestamps=True)["text"]
+    return previous_transcription
 
 with gr.Blocks() as demo:
     with gr.Column():
         input_audio_microphone = gr.Audio(streaming=True)
-        output = gr.Textbox(label="Transcription")
+        output = gr.Textbox(label="Transcription", value="")
         
         input_audio_microphone.stream(transcribe, [input_audio_microphone, output], [output], time_limit=15, stream_every=1, concurrency_limit=None)