Minimalistic view?

app.py

@@ -1,9 +1,7 @@
 import gradio as gr
 import os
 
-
 img_to_text = gr.Interface.load("spaces/pharma/CLIP-Interrogator")
-
 stable_diffusion = gr.Blocks.load(name="spaces/stabilityai/stable-diffusion")
 
 def get_images(prompt):
@@ -13,94 +11,46 @@ def get_images(prompt):
 def get_prompts(uploaded_image):
     return img_to_text(uploaded_image)
 
-
 with gr.Blocks() as demo:
-    with gr.Column():
-        gr.Markdown(
-            """
-            ## Stable Diffusion Perception 🎆🌌
-            Input an image and see how the model perceives it! 👀
-            """
-        )
-
-        gr.Markdown(
-            """
-            Upload your image below 👇
-            """
-        )
-        
-        with gr.Column():
-            input_img = gr.Image(
-                                type="filepath",
+    gr.Markdown(
+        """
+        ## Stable Diffusion Perception 🎆🌌
+        Input an image and see how the model perceives it! 👀
+        """
+    )
+
+    with gr.Row():
+      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")              
+
+      with gr.Column():
+        img2text_output = gr.Textbox(
+                                label="Convert your image to text!", 
+                                lines=4,
+                                elem_id="translated"
                             )
-            with gr.Row():
-                translate_img = gr.Button("Upload Image!", elem_id = "img2text")
-                see_prompts = gr.Button("Check how your image prompts your model!", elem_id="check_btn_1")              
-                #translate_img_directly = gr.Button("Translate your image now.", elem_id="translate_img")
-        
-        with gr.Accordion(label="Stable Diffusion Settings", elem_id="sd_settings", visible=False):
-            with gr.Row():
-                guidance_scale = gr.Slider(2, 15, value = 7, label = 'Guidance Scale')
-                nb_iterations = gr.Slider(10, 50, value = 25, step = 1, label = 'Steps')
-                seed = gr.Slider(label = "Seed", minimum = 0, maximum = 2147483647, step = 1, randomize = True)
-        
-        gr.Markdown(
-            """
-            ## Check what the model thinks of the image 📜
-            """
-        )
-        
-        with gr.Column():
-            img2text_output = gr.Textbox(
-                                    label="Convert your image to text!", 
-                                    lines=4,
-                                    elem_id="translated"
-                                )
-            with gr.Row():
-                clear_btn = gr.Button(value="Clear")
-                diffuse_btn = gr.Button(value="Diffuse it!", elem_id="diffuse_btn")
-                
-                clear_btn.click(fn=lambda value: gr.update(value=""), inputs=clear_btn, outputs=img2text_output)
-    
-                
-                    
-        gr.Markdown("""
-            ## 3. Diffuse it! 🧑‍🎨
-            """
-            ) 
-        
+        with gr.Row():
+            diffuse_btn = gr.Button(value="Diffuse it!", elem_id="diffuse_btn")
+      with gr.Column():
         sd_output = gr.Gallery().style(grid=2, height="auto")
-                
-                
-        see_prompts.click(img_to_text, 
-                                inputs = input_img, 
-                                outputs = [
-                                    img2text_output
-                                ])
-        
-        def translate_directly(img):
-            images = get_images(get_prompts(img))
-            return images
-
-        """
-        translate_img_directly.click(translate_directly, 
-                                inputs = [
-                                    input_img
-                                ], 
-                                outputs = [
-                                    img2text_output,
-                                    sd_output
-                                ])
         
-        """
-        diffuse_btn.click(get_images, 
-                              inputs = [
-                                  img2text_output
-                                  ], 
-                              outputs = sd_output
+    def translate_directly(img):
+        images = get_images(get_prompts(img))
+        return images
+    see_prompts.click(img_to_text, 
+                            inputs = input_img, 
+                            outputs = [
+                                img2text_output
+                            ])
+    diffuse_btn.click(get_images, 
+                          inputs = [
+                              img2text_output
+                              ], 
+                          outputs = sd_output
                           )
 
 
 
-
-demo.launch()
+demo.launch()