Update app.py

app.py

@@ -1,24 +1,10 @@
 import gradio as gr
 from huggingsound import SpeechRecognitionModel
 from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
-from pydub import AudioSegment
-import io
 
 # Función para convertir la tasa de muestreo del audio de entrada
-def convert_sampling_rate(audio, target_sr=48000):
-    if isinstance(audio, tuple):
-        audio_data, sample_rate = audio
-        audio_data = audio_data.to_bytes((audio_data.bit_length() + 7) // 8, 'big')
-    else:
-        audio_data = audio
-    audio = AudioSegment.from_wav(io.BytesIO(audio_data))
-    audio = audio.set_frame_rate(target_sr)
-    return audio.raw_dataa
-
 def modelo1(audio):
     # Convertir la tasa de muestreo del audio
-    audio = convert_sampling_rate(audio)
-    
     model = SpeechRecognitionModel("jonatasgrosman/wav2vec2-large-xlsr-53-english")
     transcriptions = model.transcribe(audio)
     return transcriptions