Update app.py

app.py

@@ -17,7 +17,7 @@ import os
 
 MODEL_NAME = "razhan/whisper-base-hawrami-transcription"
 BATCH_SIZE = 1
-FILE_LIMIT_MB = 10
+FILE_LIMIT_MB = 30
 YT_LENGTH_LIMIT_S = 60 * 10  # limit to 1 hour YouTube files
 
 device = 0 if torch.cuda.is_available() else "cpu"
@@ -134,7 +134,7 @@ mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
         gr.Audio(sources="microphone", type="filepath"),
-        # gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
+        gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
     ],
     outputs="text",
     title="Whisper Horami Demo: Transcribe Audio",
@@ -150,7 +150,7 @@ file_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
         gr.Audio(sources="upload", type="filepath", label="Audio file"),
-        # gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
+        gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
     ],
     outputs="text",
     title="Whisper Horami Demo: Transcribe Audio",