Capitalise button

app.py

@@ -89,14 +89,14 @@ with gr.Blocks() as mindseye:
                     style = gr.inputs.Dropdown(label="Style - Hyper Fast Results is fast but compromises a bit of the quality",choices=["Default","Balanced","Detailed","Consistent Creativity","Realistic","Smooth","Subtle MSE","Hyper Fast Results"],default="Hyper Fast Results")
                     steps = gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate. All styles that are not Hyper Fast need at least 200 steps",default=50,maximum=300,minimum=1,step=1)
                     flavor = gr.inputs.Dropdown(label="Flavor - pick a flavor for the style of the images, based on the images below",choices=["ginger", "cumin", "holywater", "zynth", "wyvern", "aaron", "moth", "juu"])
-                    get_image_vqgan = gr.button("Generate Image",css=css_mt)
+                    get_image_vqgan = gr.Button("Generate Image",css=css_mt)
                 with gr.TabItem("Guided Diffusion"):
                     gr.Markdown("Guided Diffusion models produce superb quality results. V-Diffusion is its latest implementation")
                     steps_diff = gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate",default=40,maximum=80,minimum=1,step=1)
                     images_diff = gr.inputs.Slider(label="Number of images in parallel", default=2, maximum=4, minimum=1, step=1)
                     weight = gr.inputs.Slider(label="Weight - how closely the image should resemble the prompt", default=5, maximum=15, minimum=0, step=1)
                     clip = gr.inputs.Checkbox(label="CLIP Guided - improves coherence with complex prompts, makes it slower")
-                    get_image_diffusion = gr.button("Generate Image",css=css_mt)
+                    get_image_diffusion = gr.Button("Generate Image",css=css_mt)
         with gr.Row():
             with gr.Tabs():
                 #with gr.TabItem("Image output"):