Attempted add flavors image

app.py

@@ -2326,27 +2326,27 @@ def run_all(user_input, num_steps, flavor, template, width, height):
 
 ##################### START GRADIO HERE ############################
 image = gr.outputs.Image(type="pil", label="Your result")
-#def cvt_2_base64(file_name):
-#    with open(file_name , "rb") as image_file :
-#        data = base64.b64encode(image_file.read())
-#    return data.decode('utf-8')
-#base64image = "data:image/jpg;base64,"+cvt_2_base64('flavors.jpg')
-#markdown = gr.Markdown("<img src='"+base64image+"' />")
-#def test(raw_input):
-#    pass
-#setattr(markdown, "requires_permissions", False)
-#setattr(markdown, "label", "Flavors")
-#setattr(markdown, "preprocess", test)
+def cvt_2_base64(file_name):
+    with open(file_name , "rb") as image_file :
+        data = base64.b64encode(image_file.read())
+    return data.decode('utf-8')
+base64image = "data:image/jpg;base64,"+cvt_2_base64('flavors.jpg')
+markdown = gr.Markdown("<img src='"+base64image+"' />")
+def test(raw_input):
+    pass
+setattr(markdown, "requires_permissions", False)
+setattr(markdown, "label", "Flavors")
+setattr(markdown, "preprocess", test)
 iface = gr.Interface(
     fn=run_all, 
     inputs=[
     gr.inputs.Textbox(label="Prompt - try adding increments to your prompt such as 'oil on canvas', 'a painting', 'a book cover'",default="chalk pastel drawing of a dog wearing a funny hat"),
     gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate",default=50,maximum=250,minimum=1,step=1),
     gr.inputs.Dropdown(label="Flavor",choices=["ginger", "cumin", "holywater", "zynth", "wyvern", "aaron", "moth", "juu", "custom"]),
-    #markdown,
+    markdown,
     gr.inputs.Dropdown(label="Style",choices=["Default","Balanced","Detailed","Consistent Creativity","Realistic","Smooth","Subtle MSE","Hyper Fast Results"],default="Hyper Fast Results"),
-    gr.inputs.Radio(label="Width", choices=[32,64,128,256,512],default=256),
-    gr.inputs.Radio(label="Height", choices=[32,64,128,256,512],default=256),
+    gr.inputs.Slider(label="Width", default=256, minimum=32, step=32, maximum=512),
+    gr.inputs.Slider(label="Height", default=256, minimum=32, step=32, maximum=512),
     ], 
     outputs=image,
     title="Generate images from text with VQGAN+CLIP (Hypertron v2)",