updated app

app.py

@@ -88,7 +88,7 @@ def find_best_matches(user_image):
         # Pad with empty data if we found fewer than 3 matches
         while len(output_data) < 6:
             output_data.append(None)
-            output_data.append("No Match")
+            output_data.append("**No Match**")
 
         # Return 6 items: (Img1, Lbl1, Img2, Lbl2, Img3, Lbl3)
         return output_data[0], output_data[1], output_data[2], output_data[3], output_data[4], output_data[5]
@@ -121,14 +121,14 @@ with gr.Blocks(title="Famous Face Matcher") as demo:
 
         with gr.Column():
             with gr.Row():
-                out1_img = gr.Image(label="#1 Match", type="pil")
-                out1_lbl = gr.Textbox(label="Name", interactive=False)
+                out1_img = gr.Image(label="#1 Match")
+                out1_lbl = gr.Markdown()
             with gr.Row():
-                out2_img = gr.Image(label="#2 Match", type="pil")
-                out2_lbl = gr.Textbox(label="Name", interactive=False)
+                out2_img = gr.Image(label="#2 Match")
+                out2_lbl = gr.Markdown()
             with gr.Row():
-                out3_img = gr.Image(label="#3 Match", type="pil")
-                out3_lbl = gr.Textbox(label="Name", interactive=False)
+                out3_img = gr.Image(label="#3 Match")
+                out3_lbl = gr.Markdown()
 
     # FIX: Outputs must be a FLAT list, not a list of tuples
     btn.click(
@@ -137,4 +137,4 @@ with gr.Blocks(title="Famous Face Matcher") as demo:
         outputs=[out1_img, out1_lbl, out2_img, out2_lbl, out3_img, out3_lbl]
     )
 
-demo.launch()
+demo.launch(show_api=False)

requirements.txt

@@ -1,4 +1,4 @@
-gradio>=4.44.0
+gradio==4.40.0
 huggingface_hub>=0.25.1,<1.0.0
 deepface
 tf-keras