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Update app.py
Browse files
app.py
CHANGED
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@@ -76,12 +76,12 @@ col2.title("AI Equity Advisor")
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c1, c2 = col2.columns([0.5, 0.5], gap="large")
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c1.markdown("Powered by GenInstigators")
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# Display disclaimer text using markdown
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title_container.markdown("""
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""", unsafe_allow_html=True)
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# Load data
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data_file_path = r"technicalRecommendation.csv" # Update this with your file path
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data = pd.read_csv(data_file_path)
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@@ -258,6 +258,13 @@ with market_analysis:
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st.plotly_chart(fig)
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# st.write(data2)
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with news_analysis:
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st.header("News Analysis")
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st.write("This module provides news based event impact for the following day based on the current date.")
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@@ -438,7 +445,13 @@ with news_analysis:
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# st.divider()
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with st.expander("Oil Sector Features"):
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st.write(set(features))
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# with trade_recs:
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# st.header("Trading Recommendations")
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@@ -708,7 +721,12 @@ with final_recs:
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figure.update_yaxes(fixedrange=False)
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st.plotly_chart(figure)
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with chat:
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st.header("Chat with AI Stock Advisor")
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c1, c2 = col2.columns([0.5, 0.5], gap="large")
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c1.markdown("Powered by GenInstigators")
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# Display disclaimer text using markdown
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# title_container.markdown("""
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# <div style='background-color:#b43c42; color:#ffffff; padding:8px; border-radius:3px; font-size:12px''>
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# <strong>Disclaimer:</strong> For demo purpose, the tool is currently populated with 10 months (Nov 2020 - Aug 2021) news and historical data of oil sector (OGDC) from PSX.
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# This data is intended to illustrate the tool's functionality and is not intended for actual investment decisions.
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# </div>
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# """, unsafe_allow_html=True)
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# Load data
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data_file_path = r"technicalRecommendation.csv" # Update this with your file path
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data = pd.read_csv(data_file_path)
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st.plotly_chart(fig)
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# st.write(data2)
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st.markdown("""
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<div style='background-color:#b43c42; color:#ffffff; padding:8px; border-radius:3px; font-size:12px''>
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<strong>Disclaimer:</strong> For demo purpose, the tool is currently populated with 10 months (Nov 2020 - Aug 2021) news and historical data of oil sector from PSX.
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This data is intended to illustrate the tool's functionality and is not intended for actual investment decisions.
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</div>
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""", unsafe_allow_html=True)
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with news_analysis:
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st.header("News Analysis")
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st.write("This module provides news based event impact for the following day based on the current date.")
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# st.divider()
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with st.expander("Oil Sector Features"):
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st.write(set(features))
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st.markdown("""
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<div style='background-color:#b43c42; color:#ffffff; padding:8px; border-radius:3px; font-size:12px''>
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<strong>Disclaimer:</strong> For demo purpose, the tool is currently populated with 10 months (Nov 2020 - Aug 2021) news and historical data of oil sector from PSX.
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This data is intended to illustrate the tool's functionality and is not intended for actual investment decisions.
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</div>
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""", unsafe_allow_html=True)
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# with trade_recs:
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# st.header("Trading Recommendations")
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figure.update_yaxes(fixedrange=False)
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st.plotly_chart(figure)
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st.markdown("""
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<div style='background-color:#b43c42; color:#ffffff; padding:8px; border-radius:3px; font-size:12px''>
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<strong>Disclaimer:</strong> For demo purpose, the tool is currently populated with 10 months (Nov 2020 - Aug 2021) news and historical data of oil sector from PSX.
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This data is intended to illustrate the tool's functionality and is not intended for actual investment decisions.
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</div>
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""", unsafe_allow_html=True)
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with chat:
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st.header("Chat with AI Stock Advisor")
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