Update app.py

app.py

@@ -6,7 +6,7 @@ DEFAULT_MODEL_ID = "FusionRAG/msp-audio-wav2vec2-lrs2"
 DEVICE = 0 if torch.cuda.is_available() else -1
 
 
-asr_pipe = pipeline(
+pipe = pipeline(
     task="automatic-speech-recognition",
     model=DEFAULT_MODEL_ID,
     device=DEVICE,
@@ -17,8 +17,8 @@ asr_pipe = pipeline(
 def transcribe(audio):
     if audio is None:
         return ""
-    result = asr_pipe(audio)
-    return result
+    result = pipe(audio)
+    return result["text"]
 
 
 demo = gr.Interface(