Update app.py

Conditionals on examples

app.py

@@ -290,8 +290,43 @@ We anecdotally determined that when trained at lower steps the encoded hand mode
         with gr.Column():
             output_image = gr.Gallery(label='Output Image', show_label=False, elem_id="gallery").style(grid=2, height='auto')
 
-    gr.Examples(
-        examples=[
+        if model_type=="Standard":
+            gr.Examples(
+                examples=[
+            [
+               "a woman is making an ok sign in front of a painting",
+               "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
+               "example.png"
+            ],
+            [
+               "a man with his hands up in the air making a rock sign",
+               "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
+               "example1.png"
+            ],
+            [
+               "a man is making a thumbs up gesture",
+               "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
+               "example2.png"
+            ],
+            [
+               "a woman is holding up her hand in front of a window",
+               "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
+               "example3.png"
+            ],
+            [
+               "a man with his finger on his lips",
+               "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
+               "example4.png"
+            ],
+        ],
+        inputs=[prompt_input, negative_prompt, input_image, model_type],
+        outputs=[output_image],
+        fn=infer,
+        cache_examples=True,
+    )
+        elif model_type=="Hand Encoding":
+            gr.Examples(
+                examples=[
             [
                "a woman is making an ok sign in front of a painting",
                "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
@@ -323,7 +358,7 @@ We anecdotally determined that when trained at lower steps the encoded hand mode
         fn=infer,
         cache_examples=False, #cache_examples=True,
     )
-
+            
     inputs = [prompt_input, negative_prompt, input_image, model_type]
     submit_btn.click(fn=infer, inputs=inputs, outputs=[output_image])