Update app.py

app.py

@@ -1,3 +1,41 @@
+import streamlit as st
+import http.client
+
+# Function to make an API request to Scrapeless
+def get_user_data():
+    try:
+        # Create HTTPS connection to Scrapeless API
+        conn = http.client.HTTPSConnection("api.scrapeless.com")
+
+        # Set up headers, such as the authorization token if required
+        headers = {
+            # Uncomment and replace with your API key if needed:
+             'Authorization': 'Bearer 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'
+        }
+
+        # Send a GET request to the Scrapeless API
+        conn.request("GET", "/api/v1/me", "", headers)
+        
+        # Get the response from the API
+        res = conn.getresponse()
+        if res.status == 200:
+            data = res.read()
+            return data.decode("utf-8")
+        else:
+            return f"Error: {res.status} - {res.reason}"
+
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# Streamlit UI
+st.title("Scrapeless API Data")
+
+# Trigger the API call when a button is pressed
+if st.button("Get User Data"):
+    result = get_user_data()
+    st.write(result)  # Display the result in Streamlit
+
+
 import streamlit as st
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer