Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from random import randint
 from all_models import models
 
-from externalmod import gr_Interface_load
+from externalmod import gr_Interface_load, randomize_seed
 
 import asyncio
 import os
@@ -32,6 +32,8 @@ num_models = 6
 
 default_models = models[:num_models]
 inference_timeout = 600
+MAX_SEED=3999999999
+starting_seed = randint(1941, 2024)
 
 def extend_choices(choices):
     return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA']
@@ -40,12 +42,44 @@ def extend_choices(choices):
 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):
+
+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
-    noise = str('') #str(randint(0, 99999999999))
-    return models_load[model_str](f'{prompt} {noise}')
+    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
 
 
 
@@ -54,6 +88,9 @@ with gr.Blocks() as demo:
         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)
+        seed = gr.Slider(label="Use a seed to replicate the same image later", info="Max 3999999999", minimum=0, maximum=MAX_SEED, step=1, value=starting_seed)
+        seed_rand = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary")
+        seed_rand.click(randomize_seed, None, [seed], queue=False)
         gen_button.click(lambda s: gr.update(interactive = True), None)
         gr.HTML(
         """
@@ -72,8 +109,8 @@ with gr.Blocks() as demo:
             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)
+                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 = f'Choose up to {int(num_models)} different models from the {len(models)} available!', value=default_models, interactive=True)