Create app.py

app.py

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+import requests
+import openai
+
+# Set up the CoinMarketCap API endpoint and parameters
+url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest'
+parameters = {
+  'start': '1',
+  'limit': '10',
+  'convert': 'USD'
+}
+
+# Set up the OpenAI API credentials
+openai.api_key = '<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>'
+
+# Fetch the latest cryptocurrency prices from the CoinMarketCap API
+response = requests.get(url, headers={'X-CMC_PRO_API_KEY': '<03365e9f-2220-4083-90a7-151a70bb40ae>'}, params=parameters)
+data = response.json()['data']
+
+# Extract the relevant data from the API response
+bitcoin_price = data[0]['quote']['USD']['price']
+ethereum_price = data[1]['quote']['USD']['price']
+bitcoin_margin = data[0]['quote']['USD']['percent_change_24h']
+ethereum_margin = data[1]['quote']['USD']['percent_change_24h']
+
+# Use the OpenAI API to generate a prediction for the margin
+prompt = f"Based on the latest cryptocurrency prices, what will be the margin for Bitcoin and Ethereum in the next 24 hours?"
+model = "text-davinci-002"
+response = openai.Completion.create(
+    engine=model,
+    prompt=prompt,
+    temperature=0.5,
+    max_tokens=50,
+    n=1,
+    stop=None,
+    timeout=20,
+)
+
+# Extract the predicted margin from the OpenAI API response
+predicted_margin = response.choices[0].text.strip()
+
+# Print the results
+print("Latest cryptocurrency prices:")
+print(f"Bitcoin: ${bitcoin_price:.2f}")
+print(f"Ethereum: ${ethereum_price:.2f}")
+print("24-hour margin:")
+print(f"Bitcoin: {bitcoin_margin:.2f}%")
+print(f"Ethereum: {ethereum_margin:.2f}%")
+print("Predicted margin for the next 24 hours:")
+print(predicted_margin)