Update app.py

app.py

@@ -1,19 +1,32 @@
 from transformers import pipeline
 import gradio as gr
+import traceback
 
-# Explicitly set the task
-pipe = pipeline("automatic-speech-recognition", model="nambn0321/ASR_french_3")
+try:
+    print("Loading model...")
+    pipe = pipeline(
+        task="automatic-speech-recognition",
+        model="nambn0321/ASR_french_3"
+    )
+    print("Model loaded successfully!")
+except Exception as e:
+    print("ERROR LOADING MODEL:")
+    traceback.print_exc()
+    pipe = None
 
 def transcribe(audio):
-    text = pipe(audio)["text"]
-    return text
+    if pipe is None:
+        return "Model failed to load. Check logs."
+
+    result = pipe(audio)
+    return result["text"]
 
 iface = gr.Interface(
     fn=transcribe,
-    inputs=gr.Audio(type="filepath"),  # Removed source="microphone"
+    inputs=gr.Audio(type="filepath"),
     outputs="text",
     title="Whisper Small French",
-    description="Realtime demo for French speech recognition using a fine-tuned Whisper small model.",
+    description="French speech recognition"
 )
 
-iface.launch()
+iface.launch()