Update app.py

app.py

@@ -3,19 +3,28 @@ import os
 from transformers import pipeline
 
 # Load ASR pipeline
-asr = pipeline(task="automatic-speech-recognition",
-               model="distil-whisper/distil-small.en")
+asr = pipeline(task="automatic-speech-recognition", model="distil-whisper/distil-small.en")
 
-# Define function
-def transcribe(audio):
-    out = asr(audio)
-    return out['text']  # Extract transcribed text
+# Define function to process audio input
+def transcribe(audio_file):
+    if audio_file is None:
+        return "Error: No audio file provided."
+    
+    try:
+        result = asr(audio_file)  # Process audio
+        return result['text']  # Extract the transcribed text
+    except Exception as e:
+        return f"Error: {str(e)}"
 
-# Create Gradio Interface
-iface = gr.Interface(fn=transcribe,
-                     inputs=gr.Audio(type="filepath"),  # Expect an audio file path
-                     outputs="text")
+# Create Gradio interface
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(type="filepath"),  # Expect an audio file path
+    outputs="text"
+)
 
-# Launch Interface
-iface.launch(share=True, 
-             server_port=int(os.environ.get('PORT1', 7860)))
+# Get port safely (default to 7860 if not set)
+port = int(os.environ.get('PORT1', 7860))
+
+# Launch Gradio app
+iface.launch(share=True, server_port=port)