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__init__.py

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+# utils/__init__.py
+
+# This file is intentionally left blank.

app.py

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+import streamlit as st
+import os
+import pandas as pd
+import yfinance as yf
+import matplotlib.pyplot as plt
+from agno.agent import Agent
+from agno.models.groq import Groq
+from agno.tools.yfinance import YFinanceTools
+from agno.tools.duckduckgo import DuckDuckGoTools
+import groq
+from dotenv import load_dotenv
+import time
+
+# Load environment variables first
+load_dotenv()
+
+# Check if API key exists and set it manually if needed
+if not os.getenv("GROQ_API_KEY"):
+    st.error("GROQ_API_KEY not found in environment variables. Please add it to your .env file.")
+    st.stop()
+
+# Set API key explicitly
+groq.api_key = os.getenv("GROQ_API_KEY")
+
+# Import agent modules after setting API key
+from agents.finance_agent import FinanceAgent
+
+# Initialize only the finance agent first
+finance_agent = FinanceAgent()
+
+# Streamlit app title
+st.title("Finance Agent App")
+
+# User input for stock ticker
+ticker_symbol = st.text_input("Enter Stock Ticker Symbol (e.g., TSLA):", "TSLA")
+
+if st.button("Get Financial Insights"):
+    if ticker_symbol:
+        try:
+            # First display a comprehensive report
+            with st.spinner(f"Generating comprehensive financial report for {ticker_symbol}..."):
+                st.subheader(f"📊 Comprehensive Financial Report for {ticker_symbol}")
+                comprehensive_report = finance_agent.generate_comprehensive_report(ticker_symbol)
+                st.markdown(comprehensive_report.content)
+                
+            # Then show historical price chart
+            with st.spinner(f"Retrieving historical price data for {ticker_symbol}..."):
+                st.subheader(f"📈 Historical Stock Price Data for {ticker_symbol}")
+                historical_data = finance_agent.get_historical_price_data(ticker_symbol)
+                st.line_chart(historical_data['Close'])
+                
+            # Add a divider
+            st.markdown("---")
+            
+            # Include expand sections for detailed information
+            with st.expander(f"Detailed Stock Fundamentals for {ticker_symbol}"):
+                fundamentals_response = finance_agent.get_stock_fundamentals(ticker_symbol)
+                st.markdown(fundamentals_response.content)
+                
+            with st.expander(f"Analyst Recommendations for {ticker_symbol}"):
+                analyst_response = finance_agent.get_analyst_recommendations_and_news(ticker_symbol)
+                st.markdown(analyst_response.content)
+                
+        except Exception as e:
+            st.error(f"An error occurred: {str(e)}")
+            st.info("Try again or use a different ticker symbol")
+    else:
+        st.error("Please enter a valid stock ticker symbol.")