Update app.py

app.py

@@ -15,105 +15,31 @@ def get_prompts(prompt_text):
 	    return text_gen(prompt_text + " Dream")
     else:
         return text_gen("")
-proc1=gr.Interface.load("models/Yntec/DreamAnything")
 
-def restart_script_periodically():
-    while True:
-        random_time = random.randint(5400, 6000)
-        time.sleep(random_time)
-        os.execl(sys.executable, sys.executable, *sys.argv)
+models = [
+    "Yntec/OpenLexica",
+    "Yntec/MapleSyrup",
+]
+current_model = models[0]
+models2=[
+    gr.Interface.load(f"models/{models[0]}",live=True,preprocess=False),
+    gr.Interface.load(f"models/{models[1]}",live=True,preprocess=False),
+]
 
+def text_it1(inputs,text_gen1=text_gen1):
+        go_t1=text_gen1(inputs)
+        return(go_t1)
 
-restart_thread = Thread(target=restart_script_periodically, daemon=True)
-restart_thread.start()
+def set_model(current_model):
+    current_model = models[current_model]
+    return gr.update(label=(f"{current_model}"))
 
 
-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
+def send_it1(inputs, model_choice):
+        proc1=models2[model_choice]
+        output1=proc1(inputs)
+        return(output1)
+css=""""""
 
 
 with gr.Blocks(css='style.css') as demo:
@@ -145,73 +71,41 @@ with gr.Blocks(css='style.css') as demo:
             </div>
         """
     )
-    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)
+    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)