Update app.py

app.py

@@ -5,10 +5,12 @@ from transformers import pipeline
 from huggingface_hub import model_info
 import time
 import unicodedata
+from gradio.themes.utils.theme_dropdown import create_theme_dropdown
 
 MODEL_NAME = "SakshiRathi77/wav2vec2-large-xlsr-300m-hi-kagglex"
 lang = "hi"
 
+my_theme = gr.Theme.from_hub('freddyaboulton/dracula_revamped')
 device = 0 if torch.cuda.is_available() else "cpu"
 pipe = pipeline(
     task="automatic-speech-recognition",
@@ -41,7 +43,7 @@ def rt_transcribe(audio, state=""):
 
 
 
-demo = gr.Blocks()
+demo = gr.Blocks(theme=my_theme)
 examples=[["examples/example1.mp3"], ["examples/example2.mp3"],["examples/example3.mp3"]]
 
 title ="""
@@ -67,7 +69,7 @@ mf_transcribe = gr.Interface(
         gr.inputs.Audio(source="upload", type="filepath"),
     ],
     outputs="text",
-    theme="huggingface",
+    # theme="huggingface",
     title=title,
     description= description ,
     allow_flagging="never",
@@ -82,7 +84,7 @@ rt_transcribe = gr.Interface(
     ],
     outputs=[ "textbox",
         "state"],
-    theme="huggingface",
+    # theme="huggingface",
     title=title,
     description= description ,
     allow_flagging="never",