Update app.py

app.py

@@ -2,10 +2,8 @@ from transformers import WhisperProcessor, WhisperForConditionalGeneration
 import gradio as gr
 import torch
 import torchaudio
-from transformers import pipeline
-from transformers.pipelines.audio_utils import ffmpeg_read
 
-MODEL_NAME = "dataprizma/whisper-large-v3-turbo"
+MODEL_NAME = "islomov/navaistt_v1_medium"
 
 processor = WhisperProcessor.from_pretrained(MODEL_NAME)
 model = WhisperForConditionalGeneration.from_pretrained(MODEL_NAME)
@@ -51,8 +49,8 @@ file_transcribe = gr.Interface(
     fn=transcribe,
     inputs=gr.Audio(type="filepath", label="Audio file"),
     outputs="text",
-    title="Whisper Large V3: Transcribe Audio",
-    description="Whisper Large V3 fine-tuned for Uzbek language by Dataprizma",
+    title="Navai SST v1 Medium",
+    description="Transcribe Uzbek speech to text using Navai SST v1 Medium model. Upload an audio file to get started. Model: https://huggingface.co/islomov/navaistt_v1_medium"
 )
 
 with demo: