Create app.py

app.py

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+import streamlit as st
+import requests
+import pandas as pd
+from datetime import datetime
+
+# Define the markets (cryptocurrencies to monitor)
+markets = ['DOTUSDT', 'BTCUSDT', 'ADAUSDT', 'BNBUSDT', 'SUIUSDT', 'XRPUSDT']
+
+# Function to get price and volume data from CoinEx
+def get_crypto_price_from_coinex(symbol):
+    url = 'https://api.coinex.com/v1/market/ticker'
+    params = {'market': symbol}
+
+    try:
+        response = requests.get(url, params=params)
+        response.raise_for_status()  # Check for HTTP errors
+        data = response.json()
+
+        if 'data' in data:
+            price = data['data']['ticker']['last']
+            volume = data['data']['ticker']['vol']
+            return [price, volume]  # Return the price and volume as a list
+        else:
+            return ["Symbol not found", "Symbol not found"]
+    except requests.exceptions.RequestException as e:
+        st.error(f"Request error: {e}")
+        return ["Request error", "Request error"]
+    except ValueError as e:
+        st.error(f"JSON decode error: {e}")
+        return ["JSON decode error", "JSON decode error"]
+
+# Streamlit UI elements
+st.title("Live Cryptocurrency Data")
+
+# Create a button to fetch the data
+if st.button("Fetch Live Data"):
+    # Create a list to store data for all markets
+    all_data = []
+    
+    # Fetch data for each market
+    for market in markets:
+        crypto_data = get_crypto_price_from_coinex(market)
+        all_data.append([market, crypto_data[0], crypto_data[1]])  # [market, price, volume]
+    
+    # Convert the data into a DataFrame for easier display
+    df = pd.DataFrame(all_data, columns=["Market", "Price (USDT)", "Volume (24h)"])
+    df['Timestamp'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')  # Add a timestamp column
+    
+    # Display the table
+    st.write(df)
+
+# To update the page every 30 seconds to show live data:
+st.text("Refreshing data every 30 seconds...")
+st.experimental_rerun()  # Automatically rerun the app to update the data every 30 seconds