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Runtime error
Runtime error
Duy-Anh Dang
commited on
Commit
·
5d9f0d7
1
Parent(s):
e1c2837
background and new time
Browse files
app.py
CHANGED
@@ -21,6 +21,7 @@ from io import BytesIO
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from bs4 import BeautifulSoup
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import matplotlib.pyplot as plt
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import numpy as np
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def table_data():
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@@ -90,14 +91,14 @@ def parse_email(uploaded_file):
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parsed_email.append(paragraph.text)
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return parsed_email
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def email_upload():
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print("Please upload your email (In HTML Format)")
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# upload = FileUpload(accept='.html', multiple=True)
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# display(upload)
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# return upload
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fc = FileChooser()
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display(fc)
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return fc
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# New - In-Use
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@@ -181,39 +182,33 @@ def add_bg_from_url():
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background-image: linear-gradient(#0A3144,#126072,#1C8D99);
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background-attachment: fixed;
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background-size: cover
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}}
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</style>
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""",
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unsafe_allow_html=True
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)
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st.markdown("# Character Count: Email Industry")
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# col1, col2, col3 = st.columns([1,1,1])
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# with col2:
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# img = PIL.Image.open("figures/ModelCC_solid.png")
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# st.image(img)
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stats_col1, stats_col2, stats_col3, stats_col4 = st.columns([1, 1, 1, 1])
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with stats_col1:
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st.
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with stats_col2:
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st.
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with stats_col3:
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st.
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with stats_col4:
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st.
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with st.sidebar:
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with st.expander('Model Description', expanded=False):
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img = PIL.Image.open("figures/ModelCC.png")
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st.image(img)
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@@ -493,4 +488,5 @@ if st.button('Generate Predictions'):
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placeholder.empty()
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#
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from bs4 import BeautifulSoup
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import matplotlib.pyplot as plt
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import numpy as np
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import timeit
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def table_data():
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parsed_email.append(paragraph.text)
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return parsed_email
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#def email_upload():
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# print("Please upload your email (In HTML Format)")
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# upload = FileUpload(accept='.html', multiple=True)
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# display(upload)
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# return upload
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# fc = FileChooser()
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# display(fc)
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# return fc
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# New - In-Use
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background-image: linear-gradient(#0A3144,#126072,#1C8D99);
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background-attachment: fixed;
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background-size: cover
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}}
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</style>
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""",
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unsafe_allow_html=True
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)
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add_bg_from_url()
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#linear-gradient(0deg,#010405 0,#061c2c 55%,#0a3144 75%,#0f4d60)
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st.markdown("# Character Count: Email Industry")
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stats_col1, stats_col2, stats_col3, stats_col4 = st.columns([1, 1, 1, 1])
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with stats_col1:
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st.caption("Verified: Production")
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with stats_col2:
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st.caption("Accuracy: 85%")
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with stats_col3:
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st.caption("Speed: 16.89 ms")
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with stats_col4:
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st.caption("Industry: Email")
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with st.sidebar:
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with st.expander('Model Description', expanded=False):
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img = PIL.Image.open("figures/ModelCC.png")
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st.image(img)
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placeholder.empty()
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#st.write(time.time() - start_time)
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