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Update app.py
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app.py
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@@ -8,10 +8,7 @@ with col2:
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text = st.text_input("Enter the text you'd like to analyze for spam.")
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aButton = st.button('Analyze')
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with col1:
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st.title("Spamd:
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st.markdown("Message spam detection tool for Turkish language. Due the small size of the dataset, I decided to go with transformers technology Google BERT. Using the Turkish pre-trained model BERTurk, I imporved the accuracy of the tool by 18 percent compared to the previous model which used fastText.")
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st.markdown("Original file is located at")
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st.markdown("https://colab.research.google.com/drive/1QuorqAuLsmomesZHsaQHEZgzbPEM8YTH")
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import torch
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import numpy as np
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text = st.text_input("Enter the text you'd like to analyze for spam.")
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aButton = st.button('Analyze')
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with col1:
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st.title("Spamd: Spam Detector")
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import torch
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import numpy as np
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