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Update app.py
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app.py
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@@ -25,7 +25,7 @@ iface = gr.Interface(
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live=True,
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theme="huggingface",
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title='π« Spam Message Detection π΅οΈββοΈ',
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description="
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Welcome to the Spam Message Detection appβa powerful demo designed for learning purposes. π This application employs advanced machine learning techniques to identify and flag spam messages with remarkable accuracy. π€ 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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**π Key Features:**
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@@ -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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**π 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! π"
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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='π« Spam Message Detection π΅οΈββοΈ',
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description="""
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Welcome to the Spam Message Detection appβa powerful demo designed for learning purposes. π This application employs advanced machine learning techniques to identify and flag spam messages with remarkable accuracy. π€ 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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**π 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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**π 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! π"""
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# Launch the app
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iface.launch()
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