Update app.py

app.py

@@ -28,19 +28,19 @@ def load_data(input_file):
   #speech = librosa.effects.trim(speech, top_db= 10)
   return speech
     
-def asr_pipe(input_file, input_file_microphone):
+def asr_pipe(input_file, input_file_microphone, chunks):
   input_file = input_file_microphone if input_file_microphone else input_file
-  transcription = pipe(input_file, chunk_length_s= 30)["text"]
+  transcription = pipe(input_file, chunk_length_s= chunks)["text"]
   return transcription
 
 inputs = [gr.inputs.Audio(source="upload", type='filepath', label="Eng Audio-Datei eroplueden...", optional = True),
           gr.inputs.Audio(source="microphone", type="filepath", label="... oder direkt mam Mikro ophuelen", optional = True),
-          #gr.Slider(minimum=3, maximum=32, value=29, step=0.5, label="Chunk Length")
+          gr.Slider(minimum=3, maximum=32, value=29, step=0.5, label="Chunk Length")
          ]
 
 outputs = [gr.outputs.Textbox(label="Erkannten Text")]
 
-samples = [["Chamber2022_1.wav", "Chamber2022_1.wav", 30], ["Chamber2022_1.wav", "Chamber2022_2.wav", 20], ["Chamber2022_2.wav", "Chamber2022_3.wav", 30], ["Erlieft-a-Verzielt.wav", "Erlieft-a-Verzielt.wav", 28.5]]
+samples = [["Chamber2022_1.wav", "Chamber2022_1.wav", 30], ["Chamber2022_2.wav", "Chamber2022_2.wav", 20], ["Chamber2022_3.wav", "Chamber2022_3.wav", 30], ["Erlieft-a-Verzielt.wav", "Erlieft-a-Verzielt.wav", 28.5]]
 
 gr.Interface(fn = asr_pipe,
              inputs = inputs,