import streamlit as st
import requests
import pandas as pd

# Hard-coded API key for demonstration purposes
API_KEY = "QR8F9B7T6R2SWTAT"

def fetch_alpha_vantage_data(api_key, symbol):
    try:
        url = f'https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={symbol}&interval=5min&apikey={api_key}'
        response = requests.get(url)
        response.raise_for_status()  # Raise an error for bad responses
        alpha_vantage_data = response.json()
        return alpha_vantage_data
    except requests.RequestException as e:
        st.error(f"Error fetching data: {e}")
        return None

def main():
    st.title("Stock Trend Predictor")

    # User input for stock symbol
    symbol = st.text_input("Enter Stock Symbol (e.g., IBM):")

    if not symbol:
        st.warning("Please enter a valid stock symbol.")
        st.stop()

    # Use the hard-coded API key
    api_key = API_KEY

    # Fetch Alpha Vantage data
    alpha_vantage_data = fetch_alpha_vantage_data(api_key, symbol)

    if alpha_vantage_data:
        # Extract relevant data from Alpha Vantage response
        alpha_vantage_time_series = alpha_vantage_data.get('Time Series (5min)', {})
        df = pd.DataFrame(alpha_vantage_time_series).T
        df.index = pd.to_datetime(df.index)
        df = df.dropna(axis=0)

        # Display the raw data
        st.subheader("Raw Data:")
        st.write(df)

if __name__ == "__main__":
    main()