Update app.py

app.py

@@ -2,7 +2,7 @@ import torch
 from transformers import pipeline
 import gradio as gr
 
-MODEL_NAME = "JackismyShephard/whisper-medium.en-finetuned-gtzan"
+MODEL_NAME = "Music Genre classification_NIST"
 
 device = 0 if torch.cuda.is_available() else "cpu"
 
@@ -25,13 +25,11 @@ demo = gr.Interface(
     outputs=gr.Label(),
     title="Music Genre Classification",
     description=(
-        "Classify long-form audio or microphone inputs with the click of a button! Demo uses the"
-        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to classify audio files"
-        " of arbitrary length."
+        "Project by-Asutosh Panda and Bismaytosh Malik."
     ),
     examples="./examples",
     cache_examples=True,
     allow_flagging="never",
 )
-
+share=True in launch()
 demo.launch()