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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 base64
+import groq
+from functools import wraps
+# UI enhancement
+def add_bg_from_local(image_path):
+    with open(image_path, "rb") as image_file:
+        encoded_string = base64.b64encode(image_file.read()).decode()
+    
+    return f"""
+    <style>
+    .stApp {{
+        background-image: url("data:image/png;base64,{encoded_string}");
+        background-size: cover;
+        background-position: center;
+        background-repeat: no-repeat;
+        background-attachment: fixed;
+    }}
+    </style>
+    """
+
+def apply_custom_style():
+    # Add the background image
+    image_path = "/Users/aditya/Desktop/finance_agent/23115991-fffc-4f67-a116-581a1a9046c8.png"
+    st.markdown(add_bg_from_local(image_path), unsafe_allow_html=True)
+    
+    # Add the rest of the custom styling
+    st.markdown("""
+    <style>
+        .main .block-container {
+            padding-top: 2rem;
+            max-width: 1000px;
+            background-color: rgba(255, 255, 255, 0.85);
+            border-radius: 10px;
+            padding: 20px;
+        }
+        h1 {
+            color: #2E4057;
+            text-align: center;
+            margin-bottom: 2rem;
+            padding-bottom: 1rem;
+            border-bottom: 2px solid #E3B448;
+        }
+        .stButton > button {
+            border-radius: 10px;
+            background-color: #2E4057;
+            color: white;
+            font-weight: 600;
+            width: 100%;
+        }
+        .stTextInput > div > div > input {
+            border-radius: 10px;
+        }
+        .stExpander {
+            background-color: #f8f9fa;
+            border-radius: 10px;
+            padding: 0.75rem;
+            margin-bottom: 1rem;
+        }
+        .stChart {
+            background-color: #f8f9fa;
+            border-radius: 10px;
+            padding: 1rem;
+            box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+        }
+        div[data-testid="stVerticalBlock"] div[style*="flex-direction: column;"] {
+            gap: 1rem;
+        }
+    </style>
+    """, unsafe_allow_html=True)
+apply_custom_style()
+from dotenv import load_dotenv
+import time
+
+
+# Apply the custom styling
+apply_custom_style()
+
+# Load environment variables first
+load_dotenv()
+
+
+# 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
+from pathlib import Path
+
+# 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.")

requirements.txt

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+streamlit
+yfinance
+transformers
+pandas
+matplotlib
+python-dotenv
+textblob
+rapidfuzz
+scikit-learn
+newspaper4k
+duckduckgo-search
+groq
+agno