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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):
url = f'https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol=IBM&interval=5min&apikey={api_key}'
response = requests.get(url)
alpha_vantage_data = response.json()
return alpha_vantage_data
def main():
st.title("Stock Trend Predictor")
# Use the hard-coded API key
api_key = API_KEY
# Fetch Alpha Vantage data
alpha_vantage_data = fetch_alpha_vantage_data(api_key)
# 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)
# Print DataFrame for observation
st.subheader("Raw Data:")
st.write(df)
# Uncomment the next line if you want to stop the execution here to observe the data
# st.stop()
if __name__ == "__main__":
main() |