Uvini commited on
Commit
9b5d15a
1 Parent(s): 742c1cc

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -33,7 +33,7 @@ if file is not None:
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  st.markdown(f"<h5 style='font-family: sans-serif;margin-top:40px'>Total reviews: {len(df)} </h5>", unsafe_allow_html=True)
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  st.markdown(
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- f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 20px; font-weight: bold; text-align: center; border-radius: 1rem;margin-top: 10px"> Distribution of Reviews </div>',
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  unsafe_allow_html=True
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  )
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  # Apply the sentiment analysis model
@@ -55,14 +55,14 @@ if file is not None:
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  col1, col2 = st.columns(2)
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  with col1:
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  st.markdown(
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- f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 20px; font-weight: bold; text-align: center; margin-bottom: 40px; border-radius: 1rem">Positive Reviews</div>',
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  unsafe_allow_html=True
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  )
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  wc_pos = WordCloud(width=800, height=600, background_color="white", colormap="winter").generate(positive_reviews)
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  st.image(wc_pos.to_array(),use_column_width=True)
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  with col2:
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  st.markdown(
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- f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 20px; font-weight: bold; text-align: center; margin-bottom: 40px;border-radius: 1rem">Negative Reviews</div>',
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  unsafe_allow_html=True
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  )
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  wc_neg = WordCloud(width=800, height=600, background_color="white", colormap="winter").generate(negative_reviews)
@@ -70,7 +70,7 @@ if file is not None:
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  # Display the sentiment of each review as a dataframe
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  st.markdown(
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- f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 20px; font-weight: bold; text-align: center; margin-top: 60px; border-radius: 1rem"> Reviews in depth </div>',
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  unsafe_allow_html=True
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  )
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  # Add a filter for sentiments
@@ -108,4 +108,4 @@ if file is not None:
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  # Footnote
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  st.write("<br>", unsafe_allow_html=True)
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- st.caption('<div style="text-align:center; background-color:#CFEDFF;padding: 6px">crafted with ❤️</div>', unsafe_allow_html=True)
 
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  st.markdown(f"<h5 style='font-family: sans-serif;margin-top:40px'>Total reviews: {len(df)} </h5>", unsafe_allow_html=True)
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  st.markdown(
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+ f'<div style="background-color: #2C6E49; color: #ffffff; padding: 6px; font-size: 20px; font-weight: bold; text-align: center; border-radius: 1rem;margin-top: 10px"> Distribution of Reviews </div>',
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  unsafe_allow_html=True
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  )
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  # Apply the sentiment analysis model
 
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  col1, col2 = st.columns(2)
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  with col1:
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  st.markdown(
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+ f'<div style="background-color: #2C6E49; color: #ffffff; padding: 6px; font-size: 20px; font-weight: bold; text-align: center; margin-bottom: 40px; border-radius: 1rem">Positive Reviews</div>',
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  unsafe_allow_html=True
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  )
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  wc_pos = WordCloud(width=800, height=600, background_color="white", colormap="winter").generate(positive_reviews)
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  st.image(wc_pos.to_array(),use_column_width=True)
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  with col2:
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  st.markdown(
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+ f'<div style="background-color: #2C6E49; color: #ffffff; padding: 6px; font-size: 20px; font-weight: bold; text-align: center; margin-bottom: 40px;border-radius: 1rem">Negative Reviews</div>',
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  unsafe_allow_html=True
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  )
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  wc_neg = WordCloud(width=800, height=600, background_color="white", colormap="winter").generate(negative_reviews)
 
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  # Display the sentiment of each review as a dataframe
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  st.markdown(
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+ f'<div style="background-color: #2C6E49; color: #ffffff; padding: 6px; font-size: 20px; font-weight: bold; text-align: center; margin-top: 60px; border-radius: 1rem"> Reviews in depth </div>',
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  unsafe_allow_html=True
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  )
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  # Add a filter for sentiments
 
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  # Footnote
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  st.write("<br>", unsafe_allow_html=True)
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+ st.caption('<div style="text-align:center; background-color:#C4D6CC;padding: 6px">crafted with ❤️</div>', unsafe_allow_html=True)