Update app.py

app.py

@@ -7,7 +7,7 @@ DATASET_PATH = "face_dataset"
 
 # Load dataset images (only image files are included)
 dataset_images = {
-    filename: os.path.join(DATASET_PATH, filename)
+    os.path.splitext(filename)[0]: os.path.join(DATASET_PATH, filename)  # Remove file extension
     for filename in os.listdir(DATASET_PATH)
     if filename.lower().endswith(('.jpg', '.jpeg', '.png'))
 }
@@ -15,7 +15,7 @@ dataset_images = {
 def recognize_face(uploaded_image):
     """
     Compare the uploaded image with dataset images using DeepFace.
-    Returns the matched model name and its image if a verified match is found.
+    Returns the matched model name as an Instagram link and its image if a verified match is found.
     """
     if uploaded_image is None:
         return "No image uploaded.", None
@@ -30,7 +30,9 @@ def recognize_face(uploaded_image):
                 enforce_detection=False
             )
             if result.get("verified"):
-                return model_name, image_path
+                # Create an Instagram link
+                model_link = f'<a href="https://www.instagram.com/{model_name}/" target="_blank">{model_name}</a>'
+                return model_link, image_path
         except Exception as e:
             print(f"Error processing {image_path}: {e}")
 
@@ -41,7 +43,7 @@ iface = gr.Interface(
     fn=recognize_face,
     inputs=gr.Image(type="numpy", label="Upload an Image"),
     outputs=[
-        gr.Text(label="Model Name"),
+        gr.HTML(label="Model Name"),  # Use HTML for clickable link
         gr.Image(label="Matched Model Image")
     ],
     title="Face Recognition App",