Update app.py

app.py

@@ -7,7 +7,6 @@ import time
 from queue import Queue
 from threading import Thread
 
-text_gen = gr.Interface.load("models/Gustavosta/MagicPrompt-Stable-Diffusion")
 proc1 = gr.Interface.load("models/playgroundai/playground-v2-1024px-aesthetic")
 
 def restart_script_periodically():
@@ -22,20 +21,6 @@ restart_thread.start()
 queue = Queue()
 queue_threshold = 100
 
-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(['😍', '💩', '😂', '🤔', '😊', '🤗', '😭', '🙄', '😷', '🤯', '🤫', '🥴', '😴', '🤩', '🥳', '😔', '😩', '🤪', '😇', '🤢', '😈', '👹', '👻', '🤖', '👽', '💀', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', '🐭', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', '🌈'])
-    for index in noise_indices:
-        prompt_list[index] = random.choice(noise_chars)
-    return "".join(prompt_list)
-
-# Existing code...
 
 import uuid  # Import the UUID library
 
@@ -45,103 +30,37 @@ import uuid  # Import the UUID library
 
 request_counter = 0  # Global counter to track requests
 
-def send_it1(inputs, noise_level, proc=proc1):
+def send_it1(prompt, proc=proc1):
     global request_counter
     request_counter += 1
     timestamp = f"{time.time()}_{request_counter}"
-    prompt_with_noise = add_random_noise(inputs, noise_level) + f" - {timestamp}"
-    while queue.qsize() >= queue_threshold:
-        time.sleep(2)
-    queue.put(prompt_with_noise)
-    output = proc(prompt_with_noise)
+    output = proc(prompt)
     return output
-import random
-
-import random
-import time
-
-# ... (existing code)
-
-import random
-import time
-
-# ... (existing code)
-
-def get_prompts(prompt_text):
-    global request_counter
-    request_counter += 1
-    timestamp = f"{time.time()}_{request_counter}"
-    
-    options = [
-        "Cyberpunk android",
-        "2060",
-        "newyork",
-        ", style of laurie greasley" , "studio ghibli" , "akira toriyama" , "james gilleard" , "genshin impact" , "trending pixiv fanbox" , "acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details"
-        ", Editorial Photography, Shot on 70mm lens, Depth of Field, Bokeh, DOF, Tilt Blur, Shutter Speed 1/1000, F/22,  32k, Super-Resolution, award winning,", 
-         ", high detail, warm lighting, godrays, vivid, beautiful, trending on artstation, by jordan grimmer, huge scene, grass, art greg rutkowski ", 
-         ", highly detailed, digital painting, artstation, illustration, art by artgerm and greg rutkowski and alphonse mucha.", 
-         ", Charlie Bowater, stanley artgerm lau, a character portrait, sots art, sharp focus, smooth, aesthetic, extremely detailed, octane render,solo, dark industrial background, rtx, rock clothes, cinematic light, intricate detail, highly detailed, high res, detailed facial features", 
-        ", portrait photograph" , "realistic" , "concept art" , "elegant, highly detailed" , "intricate, sharp focus, depth of field, f/1. 8, 85mm, medium shot, mid shot, (((professionally color graded)))" ," sharp focus, bright soft diffused light" , "(volumetric fog),", 
-        ",Cinematic film still" ," (dark city street:1.2)" , "(cold colors), damp, moist, intricate details" ,"shallow depth of field, [volumetric fog]" , "cinematic lighting, reflections, photographed on a Canon EOS R5, 50mm lens, F/2.8, HDR, 8k resolution" , "cinematic film still from cyberpunk movie" , "volumetric fog,  (RAW, analog, masterpiece, best quality, soft particles, 8k, flawless perfect face, intricate details" , "trending on artstation, trending on cgsociety, dlsr, ultra sharp, hdr, rtx, antialiasing, canon 5d foto))" , "((skin details, high detailed skin texture))" , "(((perfect face))), (perfect eyes)))", 
-
-        # Add other prompt options here...
-    ]
-
-    if prompt_text:
-        chosen_option = random.choice(options)
-        return text_gen(f"{prompt_text}, {chosen_option} - {timestamp}")
-    else:
-        return text_gen("", timestamp)
 
 
 
-# Existing code...
 
-# Existing code...
+.
 
 with gr.Blocks(css=".gradio-container {background-color: #fdf7e6;} footer{display:none !important;}",) as demo:
-    
-
     with gr.Column(elem_id="col-container"):
         with gr.Row(variant="compact"):
             input_text = gr.Textbox(
-                lines=8,
-                label="Short Prompt",
-                show_label=False,
-                max_lines=10,
-                placeholder="Enter a basic idea and click 'Magic Prompt'. Got no ideas? No problem, Simply just hit the magic button!",
-            ).style(
-                container=False,
-                textarea={'height': '400px'}
-            )
-            see_prompts = gr.Button("✨ Magic Prompt ✨").style(full_width=False)
-
-        with gr.Row(variant="compact"):
-            prompt = gr.Textbox(
                 lines=8,
                 label="Enter your prompt",
                 show_label=False,
                 max_lines=10,
-                placeholder="Full Prompt",
+                placeholder="Enter your text prompt here",
             ).style(
                 container=False,
                 textarea={'height': '400px'}
             )
-            run = gr.Button("Generate Images").style(full_width=False)
-
-        with gr.Row():
-            with gr.Row():
-                noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level")
+            run = gr.Button("Generate Image").style(full_width=False)
 
         with gr.Row():
             with gr.Row():
                 output1 = gr.Image(label="", show_label=False, show_share_button=False)
                 
+        run.click(send_it1, inputs=[input_text], outputs=[output1])
 
-        see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
-        run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1])
-        
-        
-        
-        
     demo.launch(enable_queue=True, inline=True)