Update app.py

app.py

@@ -1,16 +1,16 @@
 import gradio as gr
 from random import randint
-from all_models import models
-
+from burman_models import models  # Custom Burman AI models
 from externalmod import gr_Interface_load, randomize_seed
-
 import asyncio
 import os
 from threading import RLock
-lock = RLock()
-HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.
 
+# Lock for thread safety
+lock = RLock()
+HF_TOKEN = os.getenv("HF_TOKEN", None)  # Hugging Face token if needed
 
+# Load AI Models
 def load_fn(models):
     global models_load
     models_load = {}
@@ -20,126 +20,69 @@ def load_fn(models):
             try:
                 m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN)
             except Exception as error:
-                print(error)
+                print(f"Error loading {model}:", error)
                 m = gr.Interface(lambda: None, ['text'], ['image'])
-            models_load.update({model: m})
-
+            models_load[model] = m
 
 load_fn(models)
 
-
-num_models = 9
-
-default_models = models[:num_models]
+# Configurations
+num_models = 9  # Number of models to show
 inference_timeout = 600
-MAX_SEED=666666666
-starting_seed = randint(666666000, 666666666)
-
-def extend_choices(choices):
-    return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA']
-
+MAX_SEED = 999999999  # Increased seed range for more randomness
+starting_seed = randint(100000000, MAX_SEED)
 
 def update_imgbox(choices):
-    choices_plus = extend_choices(choices[:num_models])
-    return [gr.Image(None, label=m, visible=(m!='NA')) for m in choices_plus]
+    return [gr.Image(None, label=m, visible=(m != 'NA')) for m in choices[:num_models]]
 
 async def infer(model_str, prompt, seed=1, timeout=inference_timeout):
-    from pathlib import Path
-    kwargs = {}
-    noise = ""
-    kwargs["seed"] = seed
-    task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn,
-                               prompt=f'{prompt} {noise}', **kwargs, token=HF_TOKEN))
+    kwargs = {"seed": seed}
+    task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn, prompt=prompt, **kwargs, token=HF_TOKEN))
     await asyncio.sleep(0)
     try:
         result = await asyncio.wait_for(task, timeout=timeout)
-    except (Exception, asyncio.TimeoutError) as e:
-        print(e)
-        print(f"Task timed out: {model_str}")
-        if not task.done(): task.cancel()
+    except Exception as e:
+        print(f"Error: {e}")
+        if not task.done():
+            task.cancel()
         result = None
-    if task.done() and result is not None:
-        with lock:
-            png_path = "image.png"
-            result.save(png_path)
-            image = str(Path(png_path).resolve())
-            return image
-    return None
-
-
-
+    return result
 
-def gen_fnseed(model_str, prompt, seed=1):
+def generate_image(model_str, prompt, seed):
     if model_str == 'NA':
         return None
-    try:
-        loop = asyncio.new_event_loop()
-        result = loop.run_until_complete(infer(model_str, prompt, seed, inference_timeout))
-    except (Exception, asyncio.CancelledError) as e:
-        print(e)
-        print(f"Task aborted: {model_str}")
-        result = None
-        with lock:
-            image = "https://huggingface.co/spaces/Yntec/ToyWorld/resolve/main/error.png"
-        result = image
-    finally:
-        loop.close()
-    return result
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    result = loop.run_until_complete(infer(model_str, prompt, seed))
+    loop.close()
+    return result or "error.png"
 
-with gr.Blocks(theme='Yntec/HaleyCH_Theme_craiyon') as demo:
-    gr.HTML(
-    """
-        <div>
-        <p> <center><img src="https://huggingface.co/spaces/Yntec/open-craiyon/resolve/main/open_craiyon.png" style="height:79px; width:367px; margin-top: -22px; margin-bottom: -44px;" span title="Best free ai art image generator open craiyon"></center>
-        </p>
-    """
-)
-    with gr.Tab('🖍️ AI models drawing images from any prompt! 🖍️'): 
-        with gr.Row():
-            txt_input = gr.Textbox(label='Your prompt:', lines=4, scale=3)
-            gen_button = gr.Button('Draw it! 🖍️', scale=1)
+# Gradio UI
+demo = gr.Blocks(theme='dark')  # Dark mode
+
+with demo:
+    gr.Markdown("# 🖍️ Burman AI - AI-Powered Image Generator 🖍️")
+    
+    with gr.Tab("Generate Images"):
         with gr.Row():
-            seed = gr.Slider(label="Use a seed to replicate the same image later (maximum 666666666)", minimum=0, maximum=MAX_SEED, step=1, value=starting_seed, scale=3)
-            seed_rand = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary", scale=1)    
-        seed_rand.click(randomize_seed, None, [seed], queue=False)
-        #stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
-               
-        gen_button.click(lambda s: gr.update(interactive = True), None)
-        gr.HTML(
-        """
-            <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
-              <div>
-                <body>
-                <div class="center"><p style="margin-bottom: 10px; color: #5b6272;">Scroll down to see more images and select models.</p>
-                </div>
-                </body>
-              </div>
-            </div>
-        """
-               )
+            prompt_input = gr.Textbox(label='Enter your prompt:', lines=3, scale=3)
+            gen_button = gr.Button('Generate Image 🖌️', scale=1)
         with gr.Row():
-            output = [gr.Image(min_width=480) for m in default_models]
-            #output = [gr.Image(label = m, min_width=480) for m in default_models]
-            current_models = [gr.Textbox(m, visible = False) for m in default_models]
-                        
-            for m, o in zip(current_models, output):
-                gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fnseed,
-                            inputs=[m, txt_input, seed], outputs=[o], concurrency_limit=None, queue=False)
-                #stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
-        with gr.Accordion('Model selection'):
-            model_choice = gr.CheckboxGroup(models, label = 'Untick the models you will not be using', value=default_models, interactive=True)
-            #model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 2 available! Untick them to only use one!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
-            model_choice.change(update_imgbox, model_choice, output)
-            model_choice.change(extend_choices, model_choice, current_models)
+            seed_slider = gr.Slider(label="Seed (Optional)", minimum=0, maximum=MAX_SEED, step=1, value=starting_seed, scale=3)
+            seed_button = gr.Button("Random Seed 🎲", scale=1)
+            seed_button.click(randomize_seed, None, [seed_slider])
         with gr.Row():
-            gr.HTML(
-    """
-        <div class="footer">
-        <p> For more than a hundred times more models (that's not a typo) check out <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>!</a>
-        </p>
-    """
-)
+            output_images = [gr.Image(label=m) for m in models[:num_models]]
+            for model, img_output in zip(models[:num_models], output_images):
+                gen_button.click(generate_image, [model, prompt_input, seed_slider], img_output)
+        
+    with gr.Tab("Model Selection"):
+        model_choice = gr.CheckboxGroup(models, label="Select models to use", value=models[:num_models])
+        model_choice.change(update_imgbox, model_choice, output_images)
+
+    gr.Markdown("### Burman AI | Powered by Open-Source AI")
+
+demo.queue()
+demo.launch(share=True)
 
-demo.queue(default_concurrency_limit=200, max_size=200)
-demo.launch(show_api=False, max_threads=400)