Update app.py

app.py

@@ -1,39 +1,53 @@
 import streamlit as st
 import requests
 
-# Function to fetch data from Hugging Face API
-def fetch_huggingface_data(api_url, headers=None):
+# Function to fetch data from API
+def fetch_api_data(api_url, headers=None):
     try:
-        response = requests.get(api_url, headers=headers)
+        # Bypass SSL verification for testing (set verify=False). Use with caution!
+        response = requests.get(api_url, headers=headers, verify=False)
         if response.status_code == 200:
             return response.json()
         else:
             st.error(f"Failed to fetch data: {response.status_code} - {response.text}")
             return None
+    except requests.exceptions.SSLError as ssl_error:
+        st.error("SSL Error: Certificate verification failed.")
+        st.error(str(ssl_error))
+        return None
+    except requests.exceptions.ConnectionError as conn_error:
+        st.error("Connection Error: Unable to reach the server.")
+        st.error(str(conn_error))
+        return None
     except Exception as e:
-        st.error(f"An error occurred: {str(e)}")
+        st.error(f"An unexpected error occurred: {str(e)}")
         return None
 
 # Streamlit app
 def main():
-    st.title("Hugging Face API Data Viewer")
-    
-    # Input fields
+    st.title("API Data Viewer")
+    st.markdown("""
+    This app allows you to fetch and display data from an API. 
+    If the server uses an invalid SSL certificate, SSL verification can be bypassed for testing purposes.
+    """)
+
+    # Input API URL and optional API key
     api_url = st.text_input("Enter API URL", placeholder="https://api.example.com/data")
     api_key = st.text_input("Enter API Key (if required)", type="password", placeholder="Optional")
 
+    # Fetch Data button
     if st.button("Fetch Data"):
         if api_url:
-            # Set headers for Hugging Face API
+            # Set headers if API key is provided
             headers = {"Authorization": f"Bearer {api_key}"} if api_key else None
-            data = fetch_huggingface_data(api_url, headers)
+            data = fetch_api_data(api_url, headers)
             
             if data:
                 st.success("Data fetched successfully!")
                 st.json(data)  # Display raw JSON data
-                
-                # Optionally process and display specific fields in a table
-                if isinstance(data, list):
+
+                # Optionally show structured data in a table if the response is a list of objects
+                if isinstance(data, list) and all(isinstance(item, dict) for item in data):
                     st.write("Structured Data View:")
                     st.dataframe(data)
         else: