Update app.py

app.py

@@ -1,36 +1,119 @@
 import gradio as gr
-import os 
+import os
 import sys
 from pathlib import Path
-       
-models = [
-    "Yntec/OpenLexica",
-    "Yntec/MapleSyrup",
-]
-current_model = models[0]
+import random
+import string
+import time
+from queue import Queue
+from threading import Thread
+import emoji
 
-text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
+text_gen=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
+def get_prompts(prompt_text):
+    if prompt_text:
+	    return text_gen(prompt_text + " Dream")
+    else:
+        return text_gen("")
+proc1=gr.Interface.load("models/Yntec/DreamAnything")
 
-models2=[
-    gr.Interface.load(f"models/{models[0]}",live=True,preprocess=False),
-    gr.Interface.load(f"models/{models[1]}",live=True,preprocess=False),
-]
+def restart_script_periodically():
+    while True:
+        random_time = random.randint(5400, 6000)
+        time.sleep(random_time)
+        os.execl(sys.executable, sys.executable, *sys.argv)
 
-   
-def text_it1(inputs,text_gen1=text_gen1):
-        go_t1=text_gen1(inputs)
-        return(go_t1)
 
-def set_model(current_model):
-    current_model = models[current_model]
-    return gr.update(label=(f"{current_model}"))
+restart_thread = Thread(target=restart_script_periodically, daemon=True)
+restart_thread.start()
 
 
-def send_it1(inputs, model_choice):
-        proc1=models2[model_choice]
-        output1=proc1(inputs)
-        return(output1)
-css=""""""
+queue = Queue()
+queue_threshold = 100
+
+#Don't add noise to the first picture no matter what (the point of noise is to get varied outputs, the first one doesn't need to vary about anything)
+def noadd_random_noise(prompt, noise_level=0.00):
+    if noise_level == 0:
+       noise_level = 0.00
+    percentage_noise = noise_level * 5
+    num_noise_chars = int(len(prompt) * (percentage_noise/100))
+    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
+    prompt_list = list(prompt)
+    noise_chars = list(string.ascii_letters + string.punctuation + '' + string.digits)
+    noise_chars.extend([''])
+    for index in noise_indices:
+        prompt_list[index] = random.choice(noise_chars)
+    return "".join(prompt_list)
+
+#normal behavior
+def add_random_noise(prompt, noise_level=0.00):
+    if noise_level == 0:
+        noise_level = 0.00
+    percentage_noise = noise_level * 5
+    num_noise_chars = int(len(prompt) * (percentage_noise/100))
+    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
+    prompt_list = list(prompt)
+    noise_chars = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
+    noise_chars.extend(['😍', 'beautiful', '😂', '🤔', '😊', '🤗', '😭', '🙄', 'pretty', '🤯', '🤫', '🥴', 'sitting', '🤩', '🥳', '😔', '😩', '🤪', '😇', 'retro', '😈', '👹', 'masterpiece', '🤖', '👽', 'high quality', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', 'visible', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', 'cute', 'kawaii', 'little'])
+    for index in noise_indices:
+        prompt_list[index] = random.choice(noise_chars)
+    return "".join(prompt_list)
+
+def send_it1(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = noadd_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(prompt_with_noise)
+    output1 = proc1(prompt_with_noise)
+    return output1
+
+def send_it2(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(prompt_with_noise)
+    output2 = proc1(prompt_with_noise)
+    return output2
+
+def send_itX(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(prompt_with_noise)
+    outputX = proc1(prompt_with_noise)
+    return outputX
+
+def send_it3(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(prompt_with_noise)
+    output3 = proc1(prompt_with_noise)
+    return output3
+
+def send_it4(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(prompt_with_noise)
+    output4 = proc1(prompt_with_noise)
+    return output4
+
+def send_it5(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(prompt_with_noise)
+    output5 = proc1(prompt_with_noise)
+    return output5
+
+#def send_it7(inputs, noise_level, proc1=proc1):
+    #prompt_with_noise = add_random_noise(inputs, noise_level)
+    #while queue.qsize() >= queue_threshold:
+    #    time.sleep(2)
+    #queue.put(prompt_with_noise)
+    #output5 = proc1(prompt_with_noise)
+    #return output0
 
 
 with gr.Blocks(css='style.css') as demo:
@@ -48,107 +131,87 @@ with gr.Blocks(css='style.css') as demo:
                    }
                 </style>
                 <body>
-                <div class="center"><h1>ToyWorldXL 401</h1>
+                <div class="center"><h1>ToyWorld XL 401</h1>
                 </div>
                 </body>
               </div>
               <p style="margin-bottom: 10px; color: #ffffff;">
               PlaceHolder
-                </p>
+                <a href="https://twitter.com/DavidJohnstonxx/">original space created by Phenomenon1981</a>.
+              </p>
               <p style="margin-bottom: 10px; color: #ffaa66; font-size: 98%">
               ❤️ Press the Like Button if you enjoy my space! ❤️</a>
               </p>
             </div>
         """
     )
-with gr.Blocks(css=css) as myface:
-    gr.HTML()
-    with gr.Row():
-        with gr.Tab("Title"):
-                gr.HTML("""    <title>Minimum Multiplier</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
-                <h1>Fill the Textbox at the top and click Generate Image</h1>
-                <br><h4>The first time you load a model it takes 200 seconds</h4>
-                <br><h4>But after it loads each image takes 20 seconds to generate!</h4>
-                                                   
-                                            """)
-
-        with gr.Tab("Description"):
-            gr.HTML("""<div style="text-align:center;">
-            <h4>As many Text-to-Image Models as I can fit here</h4><br>
-            <h4>Suggest more up in the "Community" button</h4>
-            
-                       </div>""")
-
-        with gr.Tab("Tools"):
-                    with gr.Tab("View"):
-                      with gr.Row():
-                        with gr.Column(style="width=50%, height=70%"):
-                                gr.Pil(label="Crop")
-                        with gr.Column(style="width=50%, height=70%"):
-                                gr.Pil(label="Crop")
-                            
-                    
-                    with gr.Tab("Draw"):
-                        with gr.Column(style="width=50%, height=70%"):
-                                gr.Pil(label="Crop")
-                        with gr.Column(style="width=50%, height=70%"):
-                                gr.Pil(label="Draw")
-                        
-                        
-                                gr.ImagePaint(label="Draw")
-                                    
-                    with gr.Tab("Text"):
-                        with gr.Row():
-
-                            with gr.Column(scale=50):
-                                gr.Textbox(label="", lines=8, interactive=True)            
-                             
-
-                            with gr.Column(scale=50):
-                                gr.Textbox(label="", lines=8, interactive=True)
-
-                    with gr.Tab("Color Picker"):
-                        with gr.Row():
-
-                            with gr.Column(scale=50):
-                                gr.ColorPicker(label="Color", interactive=True)            
-                             
-
-                            with gr.Column(scale=50):
-                                gr.ImagePaint(label="Draw", interactive=True)      
-    with gr.Row():
-        with gr.Column(scale=100):
-            magic1=gr.Textbox(lines=4)
-            gr.HTML("""<style>           .gr-button {
-            color: white !important;
-            border-color: #000000 !important;
-            background: #006699 !important;
-            }</style>""")
-            run=gr.Button("Generate Image")
-    with gr.Row():
-        with gr.Column(scale=100):
-            #Model selection dropdown    
-            model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", value=current_model, interactive=True)
-    with gr.Row():
-        with gr.Column(style="width=800px"):
-            output1=gr.Image(label=(f"{current_model}"))
-                
-            
-    with gr.Row():
-        with gr.Column(scale=50):
-            input_text=gr.Textbox(label="Use this box to extend an idea automagically, by typing some words and clicking Extend Idea",lines=2)
-            use_short=gr.Button("Use Short Prompt")
-            see_prompts=gr.Button("Extend Idea")
-    def short_prompt(inputs):
-        return(inputs)
-    
-    model_name1.change(set_model,inputs=model_name1,outputs=[output1])
-    
-    run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1])
-    
-    use_short.click(short_prompt,inputs=[input_text],outputs=magic1)
-    
-    see_prompts.click(text_it1,inputs=[input_text],outputs=magic1)
-    
-myface.queue(concurrency_count=200)
-myface.launch(inline=True, show_api=False, max_threads=400)
+    with gr.Column(elem_id="col-container"):
+        with gr.Row(variant="compact"):
+            input_text = gr.Textbox(
+                label="Short Prompt",
+                show_label=False,
+                max_lines=2,
+                placeholder="Enter a basic idea and click 'Magic Prompt'. Got no ideas? No problem, Simply just hit the magic button!",
+            ).style(
+                container=False,min_width=1200
+            )
+            see_prompts = gr.Button("✨ Magic Prompt ✨").style(full_width=False)
+
+        
+        with gr.Row(variant="compact"):
+            prompt = gr.Textbox(
+                label="Enter your prompt",
+                show_label=False,
+                max_lines=2,
+                placeholder="Full Prompt",
+            ).style(
+                container=False,
+            )
+            run = gr.Button("Generate Images").style(full_width=False)
+        
+        with gr.Row():
+            with gr.Row():
+                #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=0.2, maximum=3, step=0.1, label="Noise Level (0.1 or less was generating the same pic 6 times! 🤣)")
+        with gr.Row():
+            with gr.Row():
+                output1=gr.Image(label="DreamAnything",show_label=False,min_width=640)
+                output2=gr.Image(label="DreamAnything",show_label=False,min_width=640)
+        with gr.Row():
+            with gr.Row():
+                output3=gr.Image(label="DreamAnything",show_label=False,min_width=640)
+                output4=gr.Image(label="DreamAnything",show_label=False,min_width=640)
+        with gr.Row():
+            with gr.Row():
+                output5=gr.Image(label="DreamAnything",show_label=False,min_width=640)
+                outputX=gr.Image(label="DreamAnything",show_label=False,min_width=640)
+        #with gr.Row():
+            #with gr.Row():
+                #output0=gr.Image(label="DreamAnything",show_label=False,min_width=640)
+        
+        see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
+        run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1])
+        #run.click(send_it7, inputs=[prompt, noise_level], outputs=[output0])
+        run.click(send_it2, inputs=[prompt, noise_level], outputs=[output2])
+        run.click(send_it3, inputs=[prompt, noise_level], outputs=[output3])
+        run.click(send_it4, inputs=[prompt, noise_level], outputs=[output4])
+        run.click(send_it5, inputs=[prompt, noise_level], outputs=[output5])
+        run.click(send_itX, inputs=[prompt, noise_level], outputs=[outputX])
+        
+
+        with gr.Row():
+                gr.HTML(
+    """
+        <div class="footer">
+        <p> Demo for <a href="https://huggingface.co/Yntec/DreamAnything">DreamAnything</a> Stable Diffusion model
+</p>
+</div>
+        <div class="acknowledgments" style="font-size: 115%; color: #ffffff;">
+            <p> Unleash your creative side and generate mesmerizing images with just a few clicks! Enter a spark of inspiration in the "Basic Idea" text box and click the "Magic Prompt" button to elevate it to a polished masterpiece. Make any final tweaks in the "Full Prompt" box and hit the "Generate Images" button to watch your vision come to life. Experiment with the "Noise Level" for a diverse range of outputs, from similar to wildly unique. Let the fun begin!
+            </p>
+        </div>
+    """
+)
+
+    demo.launch(enable_queue=True, inline=True)
+    block.queue(concurrency_count=100)