Create requests.py

requests.py

@@ -0,0 +1,20 @@
+import requests
+
+# Define the URL of your deployed model endpoint
+url = 'http://your-deployed-model-url/predict'
+
+# Sample input data (replace this with your actual data)
+data = {
+    'data': [[5.1, 3.5, 1.4, 0.2], [6.3, 2.9, 5.6, 1.8]]
+}
+
+# Send POST request to the deployed model endpoint
+response = requests.post(url, json=data)
+
+# Check if request was successful
+if response.status_code == 200:
+    # Extract predictions from response
+    predictions = response.json()['predictions']
+    print("Predictions:", predictions)
+else:
+    print("Error:", response.text)