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ashishraics
commited on
Commit
•
0f80297
1
Parent(s):
d5960c1
update app
Browse files
app.py
CHANGED
@@ -2,6 +2,7 @@ import pandas as pd
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import streamlit as st
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from streamlit_text_rating.st_text_rater import st_text_rater
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from sentiment import classify_sentiment
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st.set_page_config( # Alternate names: setup_page, page, layout
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layout="wide", # Can be "centered" or "wide". In the future also "dashboard", etc.
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@@ -9,6 +10,7 @@ st.set_page_config( # Alternate names: setup_page, page, layout
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page_title='None', # String or None. Strings get appended with "• Streamlit".
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)
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padding_top = 0
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st.markdown(f"""
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<style>
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@@ -77,3 +79,12 @@ if select_task=='Detect Sentiment':
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else:
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response = st_text_rater(t + f"--> This statement is {sentiments[i]}",
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color_background='rgb(233, 116, 81)',key=t)
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import streamlit as st
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from streamlit_text_rating.st_text_rater import st_text_rater
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from sentiment import classify_sentiment
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from zeroshot_clf import zero_shot_classification
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st.set_page_config( # Alternate names: setup_page, page, layout
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layout="wide", # Can be "centered" or "wide". In the future also "dashboard", etc.
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page_title='None', # String or None. Strings get appended with "• Streamlit".
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)
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padding_top = 0
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st.markdown(f"""
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<style>
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else:
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response = st_text_rater(t + f"--> This statement is {sentiments[i]}",
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color_background='rgb(233, 116, 81)',key=t)
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if select_task=='Zero Shot Classification':
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st.header("You are now performing Zero Shot Classification")
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input_texts = st.text_input(label="Input text to classify into topics")
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input_lables = st.text_input(label="Enter labels separated by commas")
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if len(input_texts) !=0 and len(input_lables) != 0:
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output=zero_shot_classification(input_texts, input_lables)
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st.write(output)
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