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Upload app.py
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app.py
CHANGED
@@ -1,4 +1,3 @@
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import os
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import numpy as np
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import spacy
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import nltk
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@@ -132,20 +131,13 @@ def prediction(input_file):
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unsafe_allow_html=True)
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add_vertical_space(1)
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st.markdown(f'<h3 style="text-align: center; color: green;">{predicted_class}</h3>',
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unsafe_allow_html=True)
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# Streamlit Configuration Setup
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streamlit_config()
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# Check 'punkt' Already Downloaded or Not
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try:
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nltk.data.find('tokenizers/punkt')
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except LookupError:
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nltk.download('punkt')
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# File uploader to upload the HTML file
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@@ -153,6 +145,16 @@ input_file = st.file_uploader('Upload an HTML file', type='html')
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if input_file is not None:
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-
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import numpy as np
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import spacy
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import nltk
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unsafe_allow_html=True)
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add_vertical_space(1)
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st.markdown(f'<h3 style="text-align: center; color: green;">Prdicted Class = {predicted_class}</h3>',
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unsafe_allow_html=True)
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# Streamlit Configuration Setup
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streamlit_config()
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# File uploader to upload the HTML file
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if input_file is not None:
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try:
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# Predict the Input_HTML_File_Class
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prediction(input_file)
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except:
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# Check 'punkt' Already Downloaded or Not
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try:
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nltk.data.find('tokenizers/punkt')
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except LookupError:
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nltk.download('punkt')
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# Predict the Input_HTML_File_Class
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prediction(input_file)
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