Update app.py

app.py

@@ -73,22 +73,22 @@ example_prompt0 = "Two dogs of different breeds playfully chasing around a tree"
 example_prompt1 = "Two dogs of the same breed playing on the grass"
 ###
 
-# Create the first demo
-demo_vqascore = gr.Interface(
-    fn=generate,  # function to call
-    inputs=[
-        gr.Dropdown(["clip-flant5-xl", "clip-flant5-xxl"], label="Model Name"), 
-        gr.Image(type="filepath"), 
-        gr.Textbox(label="Prompt")
-    ],  # define the types of inputs
-    examples=[
-        ["clip-flant5-xl", example_imgs[0], example_prompt0],
-        ["clip-flant5-xl", example_imgs[0], example_prompt1],
-        ],
-    outputs="number",  # define the type of output
-    title="VQAScore",  # title of the app
-    description="This model evaluates the similarity between an image and a text prompt."
-)
+# # Create the first demo
+# demo_vqascore = gr.Interface(
+#     fn=generate,  # function to call
+#     inputs=[
+#         gr.Dropdown(["clip-flant5-xxl", "clip-flant5-xl", ], label="Model Name"), 
+#         gr.Image(type="filepath"), 
+#         gr.Textbox(label="Prompt")
+#     ],  # define the types of inputs
+#     examples=[
+#         ["clip-flant5-xl", example_imgs[0], example_prompt0],
+#         ["clip-flant5-xl", example_imgs[0], example_prompt1],
+#         ],
+#     outputs="number",  # define the type of output
+#     title="VQAScore",  # title of the app
+#     description="This model evaluates the similarity between an image and a text prompt."
+# )
 
 # # Create the second demo
 # demo_vqascore_ranking = gr.Interface(
@@ -116,7 +116,7 @@ def load_example(model_name, images, prompt):
 # Create the second demo
 with gr.Blocks() as demo_vqascore_ranking:
     gr.Markdown("# VQAScore Ranking\nThis model ranks a gallery of images based on their similarity to a text prompt.")
-    model_dropdown = gr.Dropdown(["clip-flant5-xl", "clip-flant5-xxl"], label="Model Name")
+    model_dropdown = gr.Dropdown(["clip-flant5-xxl", "clip-flant5-xl"], label="Model Name")
     gallery = gr.Gallery(label="Generated Images", elem_id="input-gallery", columns=4, allow_preview=True)
     prompt = gr.Textbox(label="Prompt")
     rank_button = gr.Button("Rank Images")
@@ -128,19 +128,21 @@ with gr.Blocks() as demo_vqascore_ranking:
     example1_button = gr.Button("Load Example 1")
     example2_button = gr.Button("Load Example 2")
     
-    example1_button.click(fn=lambda: load_example("clip-flant5-xl", example_imgs, example_prompt0), inputs=[], outputs=[model_dropdown, gallery, prompt])
-    example2_button.click(fn=lambda: load_example("clip-flant5-xl", example_imgs, example_prompt1), inputs=[], outputs=[model_dropdown, gallery, prompt])
+    example1_button.click(fn=lambda: load_example("clip-flant5-xxl", example_imgs, example_prompt0), inputs=[], outputs=[model_dropdown, gallery, prompt])
+    example2_button.click(fn=lambda: load_example("clip-flant5-xxl", example_imgs, example_prompt1), inputs=[], outputs=[model_dropdown, gallery, prompt])
 
     # Layout to allow user to input their own data
     with gr.Row():
         gr.Column([model_dropdown, gallery, prompt, rank_button])
         gr.Column([example1_button, example2_button])
 
-        
+# Launch the interface
+demo_vqascore_ranking.queue()
+demo_vqascore_ranking.launch(share=False)
 
-# Combine the demos into a tabbed interface
-tabbed_interface = gr.TabbedInterface([demo_vqascore, demo_vqascore_ranking], ["VQAScore", "VQAScore Ranking"])
+# # Combine the demos into a tabbed interface
+# tabbed_interface = gr.TabbedInterface([demo_vqascore, demo_vqascore_ranking], ["VQAScore", "VQAScore Ranking"])
 
-# Launch the tabbed interface
-tabbed_interface.queue()
-tabbed_interface.launch(share=False)
+# # Launch the tabbed interface
+# tabbed_interface.queue()
+# tabbed_interface.launch(share=False)