trying to solve the model import

app.py

@@ -1,8 +1,14 @@
 import gradio as gr
-from transformers import pipeline
+from transformers import pipeline, AutoModelForCTC, AutoTokenizer
+
+# Load the model from PyTorch weights
+model_name = "facebook/wav2vec2-large-xlsr-53-spanish"
+model = AutoModelForCTC.from_pretrained(model_name, from_pt=True)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Create the ASR pipeline
+trans = pipeline("automatic-speech-recognition", model=model, tokenizer=tokenizer)
 
-# audio2text
-trans = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish")
 
 def audio2text(audio):
   text = trans(audio)["text"]