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app.py

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+import gradio as gr
+import requests
+import os
+from dotenv import load_dotenv
+from openai import OpenAI
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Get API keys from environment variables
+ALPHA_VANTAGE_API_KEY = os.getenv('ALPHA_VANTAGE_API_KEY')
+OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
+
+# Validate API keys
+if not ALPHA_VANTAGE_API_KEY or not OPENAI_API_KEY:
+    raise ValueError("Missing API keys. Please check your .env file.")
+
+# Configure OpenAI
+client = OpenAI(api_key=OPENAI_API_KEY)
+
+def get_stock_price(symbol):
+    """Fetch stock price from Alpha Vantage API"""
+    if not symbol:
+        return "Please enter a stock symbol"
+        
+    url = f"https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol={symbol}&apikey={ALPHA_VANTAGE_API_KEY}"
+    response = requests.get(url)
+    data = response.json()
+    
+    if "Global Quote" in data and "05. price" in data["Global Quote"]:
+        return float(data["Global Quote"]["05. price"])
+    elif "Note" in data:  # API rate limit message
+        return "API rate limit reached. Please try again in a minute."
+    return "Stock symbol not found"
+
+def get_ai_analysis(company_name):
+    """Get AI analysis using GPT-3.5"""
+    prompt = f"""
+    Provide a brief analysis of {company_name} as a long-term investment. 
+    Consider historical milestones, recent announcements, and market position. 
+    Keep the response under 150 words.
+    """
+    
+    response = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": "You are a financial analyst providing brief stock analyses."},
+            {"role": "user", "content": prompt}
+        ]
+    )
+    
+    return response.choices[0].message.content
+
+def get_stock_symbol(company_name):
+    """Convert company name to stock symbol using GPT-3.5"""
+    prompt = f"""
+    What is the stock symbol for {company_name}? 
+    Provide only the symbol without any additional text or explanation.
+    For example, if asked about Apple, respond with: AAPL
+    """
+    
+    try:
+        response = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a financial expert. Respond only with stock symbols in capital letters."},
+                {"role": "user", "content": prompt}
+            ]
+        )
+        return response.choices[0].message.content.strip()
+    except Exception as e:
+        return None
+
+def analyze_stock(company_input):
+    """Main function to process user input and return results"""
+    try:
+        # Convert company name to symbol if needed
+        if not company_input.isupper() or len(company_input.split()) > 1:
+            symbol = get_stock_symbol(company_input)
+            if not symbol:
+                return "Could not determine stock symbol", "Please try entering the stock symbol directly"
+        else:
+            symbol = company_input
+            
+        # Get stock price
+        price = get_stock_price(symbol)
+        
+        # Get AI analysis
+        analysis = get_ai_analysis(company_input)
+        
+        return f"${price:.2f}" if isinstance(price, float) else price, analysis
+    except Exception as e:
+        return str(e), "Error occurred while analyzing the stock"
+
+# Update Gradio interface
+iface = gr.Interface(
+    fn=analyze_stock,
+    inputs=[
+        gr.Textbox(label="Enter Company Name or Symbol (e.g., 'Apple' or 'AAPL')", placeholder="Enter company name or stock symbol...")
+    ],
+    outputs=[
+        gr.Textbox(label="Current Stock Price"),
+        gr.Textbox(label="AI Analysis", lines=5)
+    ],
+    title="Stock Analysis Assistant",
+    description="Get real-time stock prices and AI-powered investment analysis",
+    theme=gr.themes.Soft()
+)
+
+# Launch the application
+if __name__ == "__main__":
+    iface.launch() 

requirements.txt

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+gradio>=4.0.0
+requests>=2.31.0
+openai>=1.12.0
+python-dotenv>=1.0.0