Update app.py

app.py

@@ -167,23 +167,42 @@ def recognize_face(image_path):
                     info = data["info"]
                     email = info.get("email", "Email not provided")
                     insta_handle = info["instagram_handle"]
-                    insta_info = fetch_instagram_info(insta_handle)
-                    face_matches.append((name, insta_handle, email, insta_info))
+
+                    # Instagram API request
+                    url = "https://instagram-scraper-api2.p.rapidapi.com/v1/info"
+                    querystring = {"username_or_id_or_url": insta_handle}
+                    headers = {
+                        "x-rapidapi-key": "bc2b15f577msh345ac5a5b422c7ep106f73jsn580b1c25e0d9",
+                        "x-rapidapi-host": "instagram-scraper-api2.p.rapidapi.com"
+                    }
+
+                    try:
+                        response = requests.get(url, headers=headers, params=querystring)
+                        response.raise_for_status()  # Raise an exception for HTTP errors
+                        data = response.json().get('data', {})
+                        full_name = data.get('full_name', 'N/A')
+                        biography = data.get('biography', 'N/A')
+                        follower_count = data.get('follower_count', 'N/A')
+                        following_count = data.get('following_count', 'N/A')
+                    except requests.exceptions.HTTPError as http_err:
+                        print(f"HTTP error occurred: {http_err}")
+                        full_name, biography, follower_count, following_count = 'N/A', 'N/A', 'N/A', 'N/A'
+                    except Exception as err:
+                        print(f"Other error occurred: {err}")
+                        full_name, biography, follower_count, following_count = 'N/A', 'N/A', 'N/A', 'N/A'
+
+                    face_matches.append((name, insta_handle, email, full_name, biography, follower_count, following_count))
 
             if face_matches:
                 matches.extend(face_matches)
             else:
-                matches.append(("Unknown", "Unknown", "Unknown", {}))
+                matches.append(("Unknown", "Unknown", "Unknown", 'N/A', 'N/A', 'N/A', 'N/A'))
 
         if matches:
             results = []
-            for name, insta_handle, email, insta_info in matches:
+            for name, insta_handle, email, full_name, biography, follower_count, following_count in matches:
                 insta_link = f"https://www.instagram.com/{insta_handle}/"
                 insta_link_html = f'<a href="{insta_link}" target="_blank"><font color="red">{insta_handle}</font></a>'
-                full_name = insta_info.get('full_name', 'N/A')
-                biography = insta_info.get('biography', 'N/A')
-                follower_count = insta_info.get('follower_count', 'N/A')
-                following_count = insta_info.get('following_count', 'N/A')
                 results.append(
                     f"- It's a picture of {name}! Insta handle: {insta_link_html}, Email: {email}, "
                     f"Full Name: {full_name}, Biography: {biography}, Followers: {follower_count}, Following: {following_count}"
@@ -194,36 +213,6 @@ def recognize_face(image_path):
             return "Face not found in the database."
     except Exception as e:
         return f"Failed to recognize face: {str(e)}"
-
-def fetch_instagram_info(insta_handle):
-    url = "https://instagram-scraper-api2.p.rapidapi.com/v1/info"
-    querystring = {"username_or_id_or_url": insta_handle}
-
-    headers = {
-        "x-rapidapi-key": "bc2b15f577msh345ac5a5b422c7ep106f73jsn580b1c25e0d9",
-        "x-rapidapi-host": "instagram-scraper-api2.p.rapidapi.com"
-    }
-
-    response = requests.get(url, headers=headers, params=querystring)
-
-    if response.status_code == 200:
-        data = response.json().get('data', {})
-        return {
-            'full_name': data.get('full_name', 'N/A'),
-            'biography': data.get('biography', 'N/A'),
-            'profile_pic_url_hd': data.get('profile_pic_url_hd', 'N/A'),
-            'follower_count': data.get('follower_count', 'N/A'),
-            'following_count': data.get('following_count', 'N/A')
-        }
-    else:
-        return {
-            'full_name': 'N/A',
-            'biography': 'N/A',
-            'profile_pic_url_hd': 'N/A',
-            'follower_count': 'N/A',
-            'following_count': 'N/A'
-        }
-
         
 # Update recognize_face_optimal function to handle multiple face encodings
 def recognize_face_optimal(image_path):