Update app.py

app.py

@@ -2,33 +2,30 @@ import gradio as gr
 import whisper
 import os
 
-# Load the Whisper model
 model = whisper.load_model("base")
 
 def transcribe_audio(audio_file):
-    # Transcribe the audio
+    # Check file size (e.g., 25MB limit)
+    if os.path.getsize(audio_file.name) > 25 * 1024 * 1024:
+        return "Error: File size exceeds 25MB limit.", None
+
     result = model.transcribe(audio_file.name)
-    
-    # Get the base name of the file (without extension) for the output file
     output_filename = os.path.splitext(os.path.basename(audio_file.name))[0] + ".txt"
     
-    # Save the transcript to a text file with the same name as the input file
     with open(output_filename, "w") as text_file:
         text_file.write(result["text"])
     
     return result["text"], output_filename
 
-# Create Gradio interface
 iface = gr.Interface(
     fn=transcribe_audio,
-    inputs=gr.File(label="Upload Audio File"),
+    inputs=gr.File(label="Upload Audio File (Max 25MB)"),
     outputs=[
         gr.Textbox(label="Transcription"),
         gr.File(label="Download Transcript")
     ],
     title="Audio Transcription Tool",
-    description="Upload an audio file (WAV, MP3, etc.) to get its transcription. The transcript will be displayed and available for download."
+    description="Upload an audio file (WAV, MP3, etc.) up to 25MB to get its transcription. Please use responsibly."
 )
 
-# Launch the interface
-iface.launch()
+iface.launch(share=True)