Update app.py

app.py

@@ -39,7 +39,7 @@ with gr.Blocks(css=css) as demo:
     gr.Markdown(
         """
         ## Stable Diffusion Perception 🎆🌌
-        Input an image and see how the model perceives it! 👀
+        Want to figure out what a good prompt might be to create new images like an existing one. Use [CLIP Interrogator](https://huggingface.co/spaces/pharma/CLIP-Interrogator) to generate a prompt. Afterward, you can use Stable Diffusion to generate images based on the generated prompt.
         """
     )
 
@@ -47,7 +47,7 @@ with gr.Blocks(css=css) as demo:
       with gr.Column():
           input_img = gr.Image(type="filepath")
           with gr.Row():
-            see_prompts = gr.Button("Check how your image prompts your model!", elem_id="check_btn_1")              
+            see_prompts = gr.Button("Check how your image prompts your model!")              
 
       with gr.Column():
         img2text_output = gr.Textbox(
@@ -56,17 +56,14 @@ with gr.Blocks(css=css) as demo:
                                 elem_id="translated"
                             )
         with gr.Row():
-            diffuse_btn = gr.Button(value="Diffuse it!", elem_id="diffuse_btn")
+            diffuse_btn = gr.Button(value="Diffuse it!")
       with gr.Column():
-        sd_output = gr.Gallery().style(grid=2, height="auto", elem_id="generated-gallery")
+        sd_output = gr.Gallery().style(grid=2, height="auto")
         with gr.Group(elem_id="share-btn-container"):
             community_icon = gr.HTML(community_icon_html)
             loading_icon = gr.HTML(loading_icon_html)
             share_button = gr.Button("Share to community", elem_id="share-btn")
 
-    def translate_directly(img):
-        images = get_images(get_prompts(img))
-        return images
     see_prompts.click(img_to_text, 
                             inputs = input_img, 
                             outputs = [