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Geek7 commited on Oct 10

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6d51538

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1 Parent(s): 5a34e05

Update app.py

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Files changed (1) hide show

app.py +16 -130

app.py CHANGED Viewed

@@ -1,15 +1,13 @@
 import gradio as gr
 from random import randint
 from all_models import models
 from externalmod import gr_Interface_load
 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.
 def load_fn(models):
     global models_load
@@ -24,151 +22,39 @@ def load_fn(models):
                 m = gr.Interface(lambda: None, ['text'], ['image'])
             models_load.update({model: m})
 load_fn(models)
 num_models = 6
 MAX_SEED = 3999999999
 default_models = models[:num_models]
 inference_timeout = 600
-starting_seed = randint(1941, 2024)
-def extend_choices(choices):
-    return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA']
-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]
-def gen_fn(model_str, prompt):
-    if model_str == 'NA':
-        return None
-    noise = str('') #str(randint(0, 99999999999))
-    return models_load[model_str](f'{prompt} {noise}')
 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))
     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()
         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
-def gen_fnseed(model_str, prompt, seed=1):
-    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
-    finally:
-        loop.close()
-    return result
-css="""
-.wrapper img {font-size: 98% !important; white-space: nowrap !important; text-align: center !important;
-display: inline-block !important;}
-"""
-with gr.Blocks(css=css) as demo:
-    with gr.Tab('Toy World'):
-        txt_input = gr.Textbox(label='Your prompt:', lines=4)
-        gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
-        #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: #000000;">Scroll down to see more images and select models.</p>
-                </div>
-                </body>
-              </div>
-            </div>
-        """
-               )
-        with gr.Row():
-            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_fn,
-                            inputs=[m, txt_input], 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 = f'Choose up to {int(num_models)} different models from the {len(models)} available!', 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)
-        with gr.Row():
-            gr.HTML(
-    """
-        <div class="footer">
-        <p> Based on the <a href="https://huggingface.co/spaces/John6666/hfd_test_nostopbutton">Huggingface NoStopButton</a> Space by John6666, <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier! For 6 images with the same model check out the <a href="https://huggingface.co/spaces/Yntec/PrintingPress">Printing Press</a>, for the classic UI with prompt enhancer try <a href="https://huggingface.co/spaces/Yntec/blitz_diffusion">Blitz Diffusion!</a>
-        </p>
-    """
-                   )
-    with gr.Tab('🌱 Use seeds!'):
-        txt_inputseed = gr.Textbox(label='Your prompt:', lines=4)
-        gen_buttonseed = gr.Button('Generate up to 6 images with the same seed in up to 3 minutes total')
-        seed = gr.Slider(label="Use a seed to replicate the same image later (maximum 3999999999)", minimum=0, maximum=MAX_SEED, step=1, value=starting_seed, scale=3)
-        #stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
-        gen_buttonseed.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: #000000;">Scroll down to see more images and select models.</p>
-                </div>
-                </body>
-              </div>
-            </div>
-        """
-               )
-        with gr.Row():
-            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_eventseed = gr.on(triggers=[gen_buttonseed.click, txt_inputseed.submit], fn=gen_fnseed,
-                            inputs=[m, txt_inputseed, 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 = f'Choose up to {int(num_models)} different models from the {len(models)} available!', 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)
-        with gr.Row():
-            gr.HTML(
-    """
-        <div class="footer">
-        <p> Based on the <a href="https://huggingface.co/spaces/John6666/hfd_test_nostopbutton">Huggingface NoStopButton</a> Space by John6666, <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier! For 6 images with the same model check out the <a href="https://huggingface.co/spaces/Yntec/PrintingPress">Printing Press</a>, for the classic UI with prompt enhancer try <a href="https://huggingface.co/spaces/Yntec/blitz_diffusion">Blitz Diffusion!</a>
-        </p>
-    """
-                    )
-demo.queue(default_concurrency_limit=200, max_size=200)
-demo.launch(show_api=False, max_threads=400)

 import gradio as gr
 from random import randint
 from all_models import models
 from externalmod import gr_Interface_load
 import asyncio
 import os
 from threading import RLock
+lock = RLock()
+HF_TOKEN = os.environ.get("HF_TOKEN")
 def load_fn(models):
     global models_load
                 m = gr.Interface(lambda: None, ['text'], ['image'])
             models_load.update({model: m})
 load_fn(models)
 num_models = 6
 MAX_SEED = 3999999999
 default_models = models[:num_models]
 inference_timeout = 600
 async def infer(model_str, prompt, seed=1, timeout=inference_timeout):
+    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()
         result = None
     if task.done() and result is not None:
         with lock:
             png_path = "image.png"
             result.save(png_path)
+        return png_path
     return None
+# Expose Gradio API
+def generate_api(model_str, prompt, seed=1):
+    result = asyncio.run(infer(model_str, prompt, seed))
+    if result:
+        return result  # Path to generated image
+    return None
+# Launch Gradio API without frontend
+iface = gr.Interface(fn=generate_api, inputs=["text", "text", "number"], outputs="file")
+iface.launch(show_api=True, share=True)