update medium

app.py

@@ -9,7 +9,7 @@ from transformers.pipelines.audio_utils import ffmpeg_read
 import tempfile
 import os
 
-MODEL_NAME = "openai/whisper-large-v3"
+MODEL_NAME = "openai/whisper-medium"
 BATCH_SIZE = 8
 FILE_LIMIT_MB = 1000
 YT_LENGTH_LIMIT_S = 3600  # limit to 1 hour YouTube files
@@ -96,13 +96,13 @@ mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
         gr.Audio(sources="microphone", type="filepath"),
-        gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
+        gr.Radio(["transcribe", "analysis"], label="Task", value="transcribe"),
     ],
     outputs="text",
-    title="Whisper Large V3: Transcribe Audio",
+    title="VerbaLens Project: Demo 1",
     description=(
         "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
-        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
+        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}), Nemo diarization and Transformers to transcribe audio files"
         " of arbitrary length."
     ),
     allow_flagging="never",