Update app.py

app.py

@@ -0,0 +1,54 @@
+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 Data Analysis")
+
+    # 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
+        time_series_key = 'Time Series (5min)'
+        if time_series_key in alpha_vantage_data:
+            alpha_vantage_time_series = alpha_vantage_data[time_series_key]
+            df = pd.DataFrame(alpha_vantage_time_series).T
+            df.index = pd.to_datetime(df.index)
+            df = df.dropna(axis=0)
+
+            if not df.empty:
+                # Display the raw data
+                st.subheader("Raw Data:")
+                st.write(df)
+            else:
+                st.warning("No intraday data available for the specified symbol.")
+        else:
+            st.warning(f"Key '{time_series_key}' not found in API response.")
+
+if __name__ == "__main__":
+    main()