Update app.py

app.py

@@ -1,19 +1,25 @@
 import os
 os.environ["TRANSFORMERS_NO_TF"] = "1"
+
 from transformers import pipeline
 import gradio as gr
 
-pipe = pipeline(model="Devion333/wav2vec2-xls-r-300m-dv")
+# Explicitly define the task so HF knows it's ASR
+pipe = pipeline(
+    task="automatic-speech-recognition",
+    model="Devion333/wav2vec2-xls-r-300m-dv"
+)
 
 def transcribe(audio):
-  text = pipe(audio)["text"]
-  return text
+    return pipe(audio)["text"]
 
 demo = gr.Interface(
     fn=transcribe,
-    inputs=gr.Audio(sources=["microphone","upload"], type="filepath"),
+    inputs=gr.Audio(sources=["microphone", "upload"], type="filepath"),
     outputs="text",
-    title="Whisper Small Demo",
-    description="Realtime demo for English speech recognition, powered by the open-source Whisper model.",
+    title="Wav2Vec2 ASR Demo",
+    description="Realtime demo for English speech recognition using Devion333/wav2vec2-xls-r-300m-dv."
 )
-demo.launch()
+
+if __name__ == "__main__":
+    demo.launch()