SakshiRathi77 commited on
Commit
60d5808
1 Parent(s): c4421d8

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -5
app.py CHANGED
@@ -11,7 +11,7 @@ from gradio.themes.utils.theme_dropdown import create_theme_dropdown
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  MODEL_NAME = "SakshiRathi77/Fine-tune-Whisper-Kagglex"
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  lang = "hi"
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- my_theme = gr.Theme.from_hub("HaleyCH/HaleyCH_Theme")
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  device = 0 if torch.cuda.is_available() else "cpu"
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  pipe = pipeline(
@@ -45,7 +45,7 @@ def rt_transcribe(audio, state=""):
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- demo = gr.Blocks(theme=my_theme)
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  examples=[["examples/example1.mp3"], ["examples/example2.mp3"],["examples/example3.mp3"]]
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  title ="""
@@ -61,7 +61,7 @@ Welcome to the HindiSpeechPro, a cutting-edge interface powered by a fine-tuned
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  </p>
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  """
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- # article = "<p style='text-align: center'><a href='https://github.com/SakshiRathi77/ASR' target='_blank'>Source Code on Github</a></p><p style='text-align: center'><a href='https://huggingface.co/blog/fine-tune-xlsr-wav2vec2' target='_blank'>Reference</a></p><p style='text-align: center'><a href='https://forms.gle/hjfc3F1P7m3weQVAA' target='_blank'><img src='https://e7.pngegg.com/pngimages/794/310/png-clipart-customer-review-feedback-user-service-others-miscellaneous-text-thumbnail.png' alt='Feedback Form' ;></a></p>"
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  mf_transcribe = gr.Interface(
@@ -71,7 +71,6 @@ mf_transcribe = gr.Interface(
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  gr.inputs.Audio(source="upload", type="filepath"),
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  ],
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  outputs="text",
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- # theme='EveryPizza/Cartoony-Gradio-Theme',
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  title=title,
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  description= description ,
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  allow_flagging="never",
@@ -86,7 +85,6 @@ rt_transcribe = gr.Interface(
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  ],
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  outputs=[ "textbox",
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  "state"],
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- # theme='EveryPizza/Cartoony-Gradio-Theme',
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  title=title,
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  description= description ,
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  allow_flagging="never",
 
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  MODEL_NAME = "SakshiRathi77/Fine-tune-Whisper-Kagglex"
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  lang = "hi"
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+ # my_theme = gr.Theme.from_hub("HaleyCH/HaleyCH_Theme")
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  device = 0 if torch.cuda.is_available() else "cpu"
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  pipe = pipeline(
 
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+ demo = gr.Blocks()
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  examples=[["examples/example1.mp3"], ["examples/example2.mp3"],["examples/example3.mp3"]]
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  title ="""
 
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  </p>
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  """
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+
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  mf_transcribe = gr.Interface(
 
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  gr.inputs.Audio(source="upload", type="filepath"),
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  ],
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  outputs="text",
 
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  title=title,
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  description= description ,
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  allow_flagging="never",
 
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  ],
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  outputs=[ "textbox",
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  "state"],
 
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  title=title,
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  description= description ,
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  allow_flagging="never",