Update app.py
Browse files
app.py
CHANGED
@@ -36,8 +36,28 @@ user_input = st.text_input("Article URL")
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m = st.markdown("""
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<style>
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div.stButton > button:first-child {
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-
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}
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</style>""", unsafe_allow_html=True)
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submit = st.button("submit")
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@@ -76,15 +96,13 @@ if submit:
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).flatten()
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sorted = np.argsort(similarity_score)[::-1].tolist()
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st.markdown(f"<small>Compute Finished in {int(time.time() - last_time)} seconds</small>", unsafe_allow_html=True)
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prediction = np.argmax(result, axis=-1)
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if prediction == 0:
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st.success(f"This news is {label[prediction]}.")
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else:
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st.error(f"This news is {label[prediction]}.")
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st.
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st.progress(result[prediction])
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with st.expander("Related Articles"):
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for i in sorted[:5]:
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m = st.markdown("""
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<style>
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div.stButton > button:first-child {
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background-color: #ce1126;
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color: white;
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height: 3em;
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width: 12em;
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border-radius:10px;
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border:3px solid #000000;
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font-size:20px;
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font-weight: bold;
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margin: auto;
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display: block;
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}
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div.stButton > button:hover {
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background:linear-gradient(to bottom, #ce1126 5%, #ff5a5a 100%);
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background-color:#ce1126;
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}
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div.stButton > button:active {
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position:relative;
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top:3px;
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}
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</style>""", unsafe_allow_html=True)
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submit = st.button("submit")
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).flatten()
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sorted = np.argsort(similarity_score)[::-1].tolist()
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prediction = np.argmax(result, axis=-1)
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if prediction == 0:
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st.success(f"This news is {label[prediction]}.")
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else:
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st.error(f"This news is {label[prediction]}.")
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st.markdown(f"""<small style:"align:center;">{int(result[prediction]*100)}% confidence</small>""")
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with st.expander("Related Articles"):
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for i in sorted[:5]:
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