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app.py

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+import os
+
+os.system('pip install streamlit_analytics')
+
+import streamlit as st
+import streamlit_analytics 
+
+try:
+    streamlit_analytics.track(load_from_json="demand.json")
+except:
+    pass
+
+# Tickers to choose from
+# Updated crypto tickers
+tickers = ['BTC-USD', 'ETH-USD', 'BNB-USD', 'XRP-USD', 'ADA-USD', 'DOT-USD', 'DOGE-USD', 'SOL-USD', 'DOT-USD']
+
+# Image options for each crypto ticker
+image_options = {
+  'BTC-USD': 'BTC-USD.jpg',
+  'ETH-USD': 'ETH-USD.jpg',
+  'BNB-USD': 'BNB-USD.jpg',
+  'XRP-USD': 'XRP-USD.jpg',
+  'ADA-USD': 'ADA-USD.jpg',
+  'DOT-USD': 'DOT-USD.jpg',
+  'DOGE-USD': 'DOGE-USD.jpg',
+  'SOL-USD': 'SOL-USD.jpg',
+  'DOT-USD': 'DOT-USD.jpg',
+}
+
+# Crypto names for each ticker
+stock_names = {
+  'BTC-USD': 'Bitcoin',
+  'ETH-USD': 'Ethereum',
+  'BNB-USD': 'Binance Coin',
+  'XRP-USD': 'XRP',
+  'ADA-USD': 'Cardano',
+  'DOT-USD': 'Polkadot',
+  'DOGE-USD': 'Dogecoin',
+  'SOL-USD': 'Solana',
+  'DOT-USD': 'Polkadot',
+}
+
+
+st.title("Crypto Forecaster")
+
+# Create a dropdown to select a ticker
+with streamlit_analytics.track(save_to_json="demand.json"):
+    selected_ticker = st.selectbox("Select a ticker:", tickers)
+
+# Display the image for the selected ticker
+if selected_ticker:
+    image_path = image_options[selected_ticker]
+    image = st.image(image_path)
+
+    # Display the stock name for the selected ticker
+    stock_name = stock_names[selected_ticker]
+    st.write(f"Crypto name: {stock_name}")
+
+st.markdown(":warning: The content of this website is for educational purposes and is not a financial advice")
+
+st.markdown(":information_source: This model has been trained on the past 6 years of data until November 22nd, 2023 for each of the selected stocks. For a more comprehensive analysis with a different date range, access to thousands of stocks, hundreds of cryptocurrencies, and more up-to-date predictions, please visit our website: https://crypto.quu.fr")
+