Update app.py

app.py

@@ -57,7 +57,7 @@ def add_random_noise(prompt, noise_level=0.00):
     noise_chars.extend(['😍', 'beautiful', '😂', '🤔', '😊', '🤗', '😭', '🙄', 'pretty', '🤯', '🤫', '🥴', 'sitting', '🤩', '🥳', '😔', '😩', '🤪', '😇', 'retro', '😈', '👹', 'masterpiece', '🤖', '👽', 'high quality', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', 'visible', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', 'beautiful'])
     for index in noise_indices:
         prompt_list[index] = random.choice(noise_chars)
-    return " ".join(prompt_list)
+    return "".join(prompt_list)
 
 #Give varied output even at noise level 0
 def add_random_noise3(prompt, noise_level=0.00):
@@ -71,7 +71,7 @@ def add_random_noise3(prompt, noise_level=0.00):
     noise_chars.extend(['😍', 'beautiful', '😂', '🤔', '😊', '🤗', '😭', '🙄', 'pretty', '🤯', '🤫', '🥴', 'sitting', '🤩', '🥳', '😔', '😩', '🤪', '😇', 'retro', '😈', '👹', 'masterpiece', '🤖', '👽', 'high quality', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', 'visible', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', 'beautiful'])
     for index in noise_indices:
         prompt_list[index] = random.choice(noise_chars)
-    return "  ".join(prompt_list)
+    return "".join(prompt_list)
 
 def send_it1(inputs, noise_level, proc1=proc1):
     prompt_with_noise = noadd_random_noise(inputs, noise_level)
@@ -151,7 +151,8 @@ with gr.Blocks(css='style.css') as demo:
         
         with gr.Row():
             with gr.Row():
-                noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level")
+                #Now that the first box generates a picture with noise=0 having the default at 0 makes no sense as it'd generate the same image 6 times.
+                noise_level = gr.Slider(minimum=0.1, maximum=3, step=0.1, label="Noise Level")
         with gr.Row():
             with gr.Row():
                 output1=gr.Image(label="Dreamlike Anime 1.0",show_label=False)