Upload 3 files

app.py

@@ -0,0 +1,80 @@
+import streamlit as st
+import requests
+import os
+from dotenv import load_dotenv
+import groq  # Import Groq API SDK
+
+# Load environment variables
+load_dotenv()
+
+# Initialize Groq Client
+GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
+client = groq.Client(api_key=GROQ_API_KEY)
+
+# Set API key for Financial Modeling Prep (FMP)
+FMP_API_KEY = os.environ.get("FMP_API_KEY")
+# FMP_API_KEY="9oIC7Pv2OyjTcw2QarsR71Ct8D053ced"
+
+# Function to fetch stock data from Financial Modeling Prep API
+def get_stock_data(symbol):
+    url = f"https://financialmodelingprep.com/api/v3/quote/{symbol}?apikey={FMP_API_KEY}"
+    response = requests.get(url)
+    if response.status_code == 200 and response.json():
+        return response.json()[0]
+    return None
+
+# Function to generate AI response using Groq
+def get_ai_response(prompt):
+    model_name = "llama-3.3-70b-versatile"  # More stable model
+    messages = [{"role": "user", "content": prompt}]
+
+    try:
+        response = client.chat.completions.create(
+            model=model_name,
+            messages=messages,
+            stream=False  # Using non-streaming for reliability
+        )
+        return response.choices[0].message.content if response.choices else "No response received."
+    except Exception as exc:
+        return f"❌ Error: {exc}"
+
+# Streamlit UI
+st.set_page_config(page_title="AI Financial Assistant", page_icon="💰", layout="centered")
+
+# Sidebar Navigation
+st.sidebar.title("Navigation")
+# page = st.sidebar.radio("Go to", ["Home", "AI Assistant"])
+page = st.sidebar.selectbox('Select a page:', 
+                               ['Home', 'AI Assistant'])
+
+if page == "Home":
+    
+    st.title("Welcome to AI Financial Assistant 💰")
+    st.write("This tool helps you with stock market insights and financial advice.")
+    st.write("Navigate to 'AI Assistant' to get started.")
+    st.markdown("---")
+    st.write("Developed by **Subramanyam Rekhandar**")
+    st.image("banner.jpeg", use_container_width=True)  # Add banner image
+
+elif page == "AI Assistant":
+    st.title("💰 AI Financial Assistant")
+    st.write("Ask me about stock prices, market trends, or investment advice!")
+
+    query = st.text_input("Enter a stock symbol (e.g., AAPL) or a financial question:")
+
+    if st.button("Get Insights"):
+        if query.upper().isalpha():  # Check if input is a stock symbol
+            data = get_stock_data(query.upper())
+            if data:
+                st.write(f"### {data['name']} ({data['symbol']})")
+                st.write(f"📈 Price: ${data['price']}")
+                st.write(f"📊 Change: {data['change']} ({data['changesPercentage']}%)")
+            else:
+                st.write("⚠️ Stock data not found. Try a different symbol.")
+        else:  # Treat input as a general finance query
+            with st.spinner("💬 Thinking..."):
+                response = get_ai_response(query)
+            st.write(response)
+
+    st.markdown("---")
+    st.write("🔍 Data sourced from Financial Modeling Prep & Groq AI.")

requirements.txt

@@ -0,0 +1,4 @@
+groq
+streamlit
+python-dotenv
+requests