Update app.py

app.py

@@ -4,8 +4,8 @@ import gradio as gr
 
 # Load model and processor
 model_name = "nada15/wav2vec2-large-xls-r-300m-dm32"
-processor = AutoModelForCTC.from_pretrained(model_name)
-model = AutoModelForCTC.from_pretrained(model_name)
+processor = Wav2Vec2Processor.from_pretrained(model_name)
+model = AutoModelForCTC.from_pretrained(model_name, ignore_mismatched_sizes=True)
 
 def transcribe(audio):
     inputs = processor(audio, sampling_rate=16000, return_tensors="pt", padding=True)
@@ -17,7 +17,7 @@ def transcribe(audio):
 # Gradio Interface
 interface = gr.Interface(
     fn=transcribe,
-    inputs=gr.Audio(source="microphone", type="filepath"),
+    inputs=gr.Audio(source="microphone"),  # Corrected
     outputs="text",
     live=True
 )