Update app.py

app.py

@@ -14,7 +14,7 @@ processor = Wav2Vec2ProcessorWithLM.from_pretrained("ahmedJaafari/Annarabic3.2",
 model = AutoModelForCTC.from_pretrained("ahmedJaafari/Annarabic3.2", cache_dir=cache_dir, use_auth_token=st.secrets["AnnarabicToken"])
 
 # define function to read in sound file
-def speech_file_to_array_fn(path, max_seconds=10):
+def speech_file_to_array_fn(path, max_seconds=60):
     batch = {"file": path}
     speech_array, sampling_rate = torchaudio.load(batch["file"])
     if sampling_rate != 16000:
@@ -44,8 +44,8 @@ def inference(audio):
       logits = model(input_values).logits
 
     output = processor.decode(logits.numpy()[0]).text
-    print(output)
 
+    print(output)
     return output
 
 inputs = gr.inputs.Audio(label="Record Audio", source="microphone", type='file')