Update app.py

app.py

@@ -2,18 +2,21 @@ from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
 import soundfile as sf
 import torch
 import gradio as gr
-
+import torchaudio
 
 # load model and processor
 processor = Wav2Vec2Processor.from_pretrained("maher13/arabic-iti")
 model = Wav2Vec2ForCTC.from_pretrained("maher13/arabic-iti").eval()
 # define function to read in sound file
 def map_to_array(file):
-   speech, sr= sf.read(file)
+   speech, sr = torchaudio.load(file)
    if sr != 16000:
-      transform = torchaudio.transforms.Resample(orig_freq=sampling_rate,
+      transform = torchaudio.transforms.Resample(orig_freq=sr,
                                                  new_freq=16000)
-      speech= transform(speech)[0].numpy()
+      speech= transform(speech)
+      speech = speech[0]
+      speech = speech.numpy()
+
    return speech
  
 # tokenize
@@ -57,4 +60,5 @@ gradio_ui = gr.Interface(
              gr.outputs.Textbox(label="Auto-Transcript")
              ],
 )
+
 gradio_ui.launch(share=True)