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import gradio as gr
from langchain_groq import ChatGroq
import yfinance as yf
# Initialize the ChatGroq model using Hugging Face's secret management
llm = ChatGroq(model_name="Llama3-8b-8192", api_key="groq_api_key")
def fetch_stock_data(company_name):
# Fetch stock data using Yahoo Finance
ticker = yf.Ticker(company_name)
stock_info = ticker.info
# Extract relevant information
stock_data = {
"Company": stock_info.get("longName", "N/A"),
"Current Price": stock_info.get("currentPrice", "N/A"),
"Market Cap": stock_info.get("marketCap", "N/A"),
"PE Ratio": stock_info.get("trailingPE", "N/A"),
"Dividend Yield": stock_info.get("dividendYield", "N/A"),
"52 Week High": stock_info.get("fiftyTwoWeekHigh", "N/A"),
"52 Week Low": stock_info.get("fiftyTwoWeekLow", "N/A"),
"Sector": stock_info.get("sector", "N/A"),
"Industry": stock_info.get("industry", "N/A")
}
return stock_data
def main(company_name):
# Fetch stock data and generate a response
stock_data = fetch_stock_data(company_name)
# Prepare a response string
response = f"Here is the data for {company_name}:\n"
for key, value in stock_data.items():
response += f"{key}: {value}\n"
return response
# Create Gradio interface
iface = gr.Interface(
fn=main,
inputs="text",
outputs="text",
title="Stock Price Data Fetcher",
description="Enter the company name or ticker symbol to get the latest stock price data."
)
if __name__ == "__main__":
iface.launch()
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