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39b37d9
1
Parent(s):
1a8d286
Update app.py
Browse files
app.py
CHANGED
@@ -256,7 +256,7 @@ with st.expander("Settings :"):
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# Membuat multiselect box
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selected_options = st.multiselect(
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'Pilih tampilan:',
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['Hasil Scraping', 'Hasil Preprocessing', '
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)
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colormap = st.selectbox("Pilih Warna Wordclouds :", ["Greys", "Purples", "Blues", "Greens", "Oranges", "Reds", "YlOrBr", "YlOrRd", "OrRd", "PuRd", "RdPu", "BuPu", "GnBu", "PuBu", "YlGnBu", "PuBuGn", "BuGn", "YlGn"])
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words = st.number_input("Masukkan Jumlah Most Common Words :", min_value = 1, max_value = 15, step = 1, placeholder="Type a number...")
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@@ -376,7 +376,7 @@ elif selected_site == "Detik.com":
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all_texts = ""
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# Kolom pertama untuk Word Cloud
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if '
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with columns[0]:
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if results:
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all_texts = [result[3] for result in results if result[3] is not None and not pd.isna(result[3])]
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@@ -391,10 +391,8 @@ elif selected_site == "Detik.com":
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contour_width=2,
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mask=None).generate(all_texts)
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st.image(wordcloud.to_array())
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-
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# Kolom kedua untuk Most Comon Words
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if 'Most Common Words' in selected_options:
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with columns[1]:
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st.subheader("Most Common Words")
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@@ -419,7 +417,7 @@ elif selected_site == "Detik.com":
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if scraping_done:
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if hidden_data:
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# Menampilkan hasil sentimen dalam kotak yang dapat diperluas
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if 'Hasil
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with st.expander(f"Hasil Scraping {selected_site} :"):
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st.write(pd.DataFrame(hidden_data, columns=["date", "judul-berita", "link-berita"]))
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if 'Hasil Preprocessing' in selected_options:
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# Membuat multiselect box
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selected_options = st.multiselect(
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'Pilih tampilan:',
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['Hasil Scraping', 'Hasil Preprocessing', 'Hasil EDA']
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)
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colormap = st.selectbox("Pilih Warna Wordclouds :", ["Greys", "Purples", "Blues", "Greens", "Oranges", "Reds", "YlOrBr", "YlOrRd", "OrRd", "PuRd", "RdPu", "BuPu", "GnBu", "PuBu", "YlGnBu", "PuBuGn", "BuGn", "YlGn"])
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words = st.number_input("Masukkan Jumlah Most Common Words :", min_value = 1, max_value = 15, step = 1, placeholder="Type a number...")
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all_texts = ""
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# Kolom pertama untuk Word Cloud
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if 'Hasil EDA' in selected_options:
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with columns[0]:
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if results:
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all_texts = [result[3] for result in results if result[3] is not None and not pd.isna(result[3])]
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contour_width=2,
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mask=None).generate(all_texts)
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st.image(wordcloud.to_array())
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# Kolom kedua untuk Most Comon Words
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with columns[1]:
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st.subheader("Most Common Words")
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if scraping_done:
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if hidden_data:
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# Menampilkan hasil sentimen dalam kotak yang dapat diperluas
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if 'Hasil Scraping' in selected_options:
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with st.expander(f"Hasil Scraping {selected_site} :"):
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st.write(pd.DataFrame(hidden_data, columns=["date", "judul-berita", "link-berita"]))
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if 'Hasil Preprocessing' in selected_options:
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