Update app.py
Browse files
app.py
CHANGED
@@ -1,5 +1,6 @@
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import streamlit as st
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from transformers import pipeline
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access = "hf_"
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token = "hhbFNpjKohezoexWMlyPUpvJQLWlaFhJaa"
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@@ -13,7 +14,7 @@ st.set_page_config(page_title="Financial News Analysis", page_icon="♕")
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# Streamlit application layout
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st.title("Financial News Analysis")
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st.write("Analyze corresponding Topic and Trend for Financial News!")
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st.image("./Fin.jpg", use_column_width
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# Text input for user to enter the text
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text = st.text_area("Enter the Financial News", "")
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@@ -23,7 +24,7 @@ score_1 = 0.0
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label_2 = ""
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score_2 = 0.0
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if st.button("
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# Perform text analysis on the input text
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results_1 = analysis(text)[0]
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results_2 = classification(text)[0]
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@@ -40,3 +41,4 @@ st.write("Trend_Score:", score_1)
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st.write("Finance Topic:", label_2)
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st.write("Topic_Score:", score_2)
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import streamlit as st
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from transformers import pipeline
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import time
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access = "hf_"
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token = "hhbFNpjKohezoexWMlyPUpvJQLWlaFhJaa"
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# Streamlit application layout
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st.title("Financial News Analysis")
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st.write("Analyze corresponding Topic and Trend for Financial News!")
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st.image("./Fin.jpg", use_column_width=True)
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# Text input for user to enter the text
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text = st.text_area("Enter the Financial News", "")
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label_2 = ""
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score_2 = 0.0
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if st.button("Analyze_" + str(time.time())): # Using time stamp as a unique key
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# Perform text analysis on the input text
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results_1 = analysis(text)[0]
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results_2 = classification(text)[0]
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st.write("Finance Topic:", label_2)
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st.write("Topic_Score:", score_2)
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