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Update app.py
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app.py
CHANGED
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@@ -1,5 +1,5 @@
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import streamlit as st
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import pymupdf
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import re
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import traceback
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import faiss
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@@ -119,7 +119,7 @@ def generate_response(user_query, pdf_ticker, ai_ticker, mode, uploaded_file):
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return "Error generating response."
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st.markdown(
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"<h1 style='text-align: center; color: #4CAF50;'
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unsafe_allow_html=True
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)
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st.markdown(
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@@ -149,7 +149,7 @@ else:
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uploaded_file = None
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pdf_ticker = None
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if st.button("
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if mode == "π PDF Upload Mode" and (not uploaded_file or not pdf_ticker):
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st.error("β Please upload a PDF and enter a company ticker for insights.")
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elif mode == "π Live Data Mode" and not ai_ticker:
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@@ -159,14 +159,7 @@ if st.button("π Analyze Now"):
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response = generate_response(user_query, pdf_ticker, ai_ticker, mode, uploaded_file)
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st.markdown("---")
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st.markdown("<h3 style='color: #4CAF50;'>π‘ AI Response</h3>", unsafe_allow_html=True)
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st.markdown(
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f"""
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<div style="border: 1px solid #444; padding: 15px; background-color: #000; border-radius: 10px;">
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<p style="color: #000; font-size: 16px;">{response}</p>
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</div>
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""",
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unsafe_allow_html=True
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)
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st.markdown("---")
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import streamlit as st
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import pymupdf # Using pymupdf directly
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import re
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import traceback
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import faiss
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return "Error generating response."
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st.markdown(
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"<h1 style='text-align: center; color: #4CAF50;'>π FinQuery RAG Chatbot</h1>",
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unsafe_allow_html=True
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)
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st.markdown(
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uploaded_file = None
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pdf_ticker = None
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if st.button("Analyze Now"):
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if mode == "π PDF Upload Mode" and (not uploaded_file or not pdf_ticker):
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st.error("β Please upload a PDF and enter a company ticker for insights.")
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elif mode == "π Live Data Mode" and not ai_ticker:
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response = generate_response(user_query, pdf_ticker, ai_ticker, mode, uploaded_file)
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st.markdown("---")
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st.markdown("<h3 style='color: #4CAF50;'>π‘ AI Response</h3>", unsafe_allow_html=True)
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st.write(response)
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st.markdown("---")
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