warmup

app.py

@@ -55,7 +55,6 @@ distil_pipe = pipeline(
 )
 distil_pipe_forward = distil_pipe._forward
 
-
 def warmup():
     inputs = np.random.randn(30 * pipe.feature_extractor.sampling_rate) 
     inputs = {"array": inputs, "sampling_rate": pipe.feature_extractor.sampling_rate}
@@ -64,7 +63,6 @@ def warmup():
         _ = pipe(inputs.copy(), batch_size=BATCH_SIZE)["text"]
         _ = distil_pipe(inputs.copy(), batch_size=BATCH_SIZE)["text"]
 
-
 @spaces.GPU
 def transcribe(inputs):
     # warmup the gpu 
@@ -81,9 +79,6 @@ def transcribe(inputs):
     inputs = ffmpeg_read(inputs, pipe.feature_extractor.sampling_rate)
     audio_length_mins = len(inputs) / pipe.feature_extractor.sampling_rate / 60
 
-    print(type(inputs))
-    print(inputs.shape)
-
     if audio_length_mins > MAX_AUDIO_MINS:
         raise gr.Error(
             f"To ensure fair usage of the Space, the maximum audio length permitted is {MAX_AUDIO_MINS} minutes."
@@ -117,7 +112,6 @@ def transcribe(inputs):
 
     yield distil_text, distil_runtime, text, runtime
 
-
 if __name__ == "__main__":
     with gr.Blocks() as demo:
         gr.HTML(