Update app.py

app.py

@@ -20,7 +20,7 @@ asr = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-xl
 
 def predict_and_ctc_lm_decode(input_file):
     speech = load_and_fix_data(input_file, sampling_rate)
-    transcribed_text = asr(speech, chunk_length_s=5, stride_length_s=1)["text"]
+    transcribed_text = asr(speech, chunk_length_s=10, stride_length_s=1)["text"]
     pipe2 = pipeline("text-classification", model = "hackathon-pln-es/twitter_sexismo-finetuned-robertuito-exist2021")
     sexism_detection = pipe2(transcribed_text)[0]['label']