Pravincoder commited on
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4546947
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1 Parent(s): 04e8e9c

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -25,7 +25,7 @@ iface = gr.Interface(
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  live=True,
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  theme="huggingface",
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  title='🚫 Spam Message Detection πŸ•΅οΈβ€β™‚οΈ',
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- description="
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  Welcome to the Spam Message Detection appβ€”a powerful demo designed for learning purposes. πŸŽ“ This application employs advanced machine learning techniques to identify and flag spam messages with remarkable accuracy. πŸ€– With a training set accuracy of 99.89% and a validation/test set accuracy of 98.39%, the model has been fine-tuned using a comprehensive dataset.
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  **πŸ” Key Features:**
@@ -40,7 +40,7 @@ iface = gr.Interface(
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  3. Receive instant feedback on whether the input message is classified as spam or not.
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  **πŸ“Œ Note: **
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- This app is a demonstration and educational tool. It showcases the effectiveness of machine learning in identifying spam messages. Enjoy exploring the world of spam detection with our highly accurate model! πŸš€"
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  # Launch the app
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  iface.launch()
 
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  live=True,
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  theme="huggingface",
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  title='🚫 Spam Message Detection πŸ•΅οΈβ€β™‚οΈ',
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+ description="""
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  Welcome to the Spam Message Detection appβ€”a powerful demo designed for learning purposes. πŸŽ“ This application employs advanced machine learning techniques to identify and flag spam messages with remarkable accuracy. πŸ€– With a training set accuracy of 99.89% and a validation/test set accuracy of 98.39%, the model has been fine-tuned using a comprehensive dataset.
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  **πŸ” Key Features:**
 
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  3. Receive instant feedback on whether the input message is classified as spam or not.
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  **πŸ“Œ Note: **
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+ This app is a demonstration and educational tool. It showcases the effectiveness of machine learning in identifying spam messages. Enjoy exploring the world of spam detection with our highly accurate model! πŸš€"""
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  # Launch the app
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  iface.launch()