Update app.py

app.py

@@ -1,9 +1,19 @@
 import gradio as gr
 from huggingsound import SpeechRecognitionModel
 from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
-import librosa
+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):
+    audio = AudioSegment.from_wav(io.BytesIO(audio))
+    audio = audio.set_frame_rate(target_sr)
+    return audio.raw_data
 
 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