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| import gradio as gr | |
| from random import randint | |
| from all_models import models | |
| from datetime import datetime | |
| from concurrent.futures import ThreadPoolExecutor | |
| import time | |
| import requests | |
| now2 = 0 | |
| kii=" this is your prompt input window still a wip" | |
| combined_prompt = "" | |
| def get_current_time(): | |
| now = datetime.now() | |
| now2 = now | |
| current_time = now2.strftime("%Y-%m-%d %H:%M:%S") | |
| ki = f'{kii} {current_time}' | |
| return ki | |
| def load_fn(models): | |
| global models_load | |
| models_load = {} | |
| for model in models: | |
| if model not in models_load.keys(): | |
| try: | |
| m = gr.load(f'models/{model}') | |
| print(f"{m}"); | |
| except Exception as error: | |
| print(f"Error loading model {model}: {error}") | |
| m = gr.Interface(lambda _: None, inputs=gr.Textbox(), outputs=gr.Image(), enable_queue=False) | |
| models_load.update({model: m}) | |
| load_fn(models) | |
| num_models = len(models) | |
| default_models = models[:num_models] | |
| def extend_choices(choices): | |
| return choices + (num_models - len(choices)) * ['NA'] | |
| def update_imgbox(choices): | |
| choices_plus = extend_choices(choices) | |
| return [gr.Image(None, label=m, visible=(m != 'NA')) for m in choices_plus] | |
| executor = ThreadPoolExecutor(max_workers=num_models) | |
| def gen_fn(model_str, prompt): | |
| if model_str == 'NA': | |
| return None | |
| noise = str(randint(0, 9999)) | |
| combined_prompt = f'{prompt}' | |
| print(f"Generating with prompt: {combined_prompt}") | |
| try: | |
| image_response = models_load[model_str](f'{prompt} {noise}') | |
| # print(f"77 {models_load[model_str](f'{combined_prompt}')}") | |
| # image_response = models_load[model_str](f'{combined_prompt}') | |
| # Ensure the response is an image or image-like object | |
| if isinstance(image_response, gr.Image): | |
| return image_response | |
| elif isinstance(image_response, str): # If the response is a path or URL, pass it as a string | |
| return gr.Image(image_response) # You can handle it based on your model's return type | |
| else: | |
| print(f"Unexpected response type: {type(image_response)}") | |
| return None | |
| except Exception as e: | |
| print(f"Error occurred: {e}") | |
| return None | |
| def make_me(): | |
| with gr.Row(): | |
| txt_input = gr.Textbox(lines=2, value=kii, label=None) | |
| gen_button = gr.Button('Generate images') | |
| # stop_button = gr.Button('Stop', variant='secondary', interactive=False) | |
| #gen_button.click(lambda _: gr.update(interactive=True), None, stop_button) | |
| gen_button.click(lambda _: gr.update(interactive=True), None) | |
| gr.HTML(""" | |
| <div style="text-align: center; max-width: 100%; margin: 0 auto;"> | |
| <body> | |
| </body> | |
| </div> | |
| """) | |
| with gr.Row(): | |
| output = [gr.Image(label=m) 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 = gen_button.click(gen_fn, [m, txt_input], o, queue=False) | |
| with gr.Accordion('Model selection', visible=False): | |
| model_choice = gr.CheckboxGroup(models, label=f' {num_models} different models selected', value=default_models, interactive=True) | |
| model_choice.change(update_imgbox, model_choice, output) | |
| model_choice.change(extend_choices, model_choice, current_models) | |
| js_code = """ | |
| <script> | |
| const originalScroll = window.scrollTo; | |
| const originalShowToast = gradio.Toast.show; | |
| gradio.Toast.show = function() { | |
| originalShowToast.apply(this, arguments); | |
| window.scrollTo = function() {};}; | |
| setTimeout(() => { | |
| window.scrollTo = originalScroll; | |
| }, 1000); // Restore scroll function after 3 seconds | |
| </script> | |
| """ | |
| with gr.Blocks(css=""" | |
| label.float.svelte-i3tvor { top:auto!important; bottom: 0; position: absolute; background: rgba(0,0,0,0.0); left: var(--block-label-margin); color: rgba(200,200,200,.7);} | |
| .genbut { max-width: 50px; max-height: 30px; width:150px; height:30px} | |
| .stopbut { max-width: 50px; max-height: 30px; width:150px; height:30px} | |
| .float.svelte-1mwvhlq { position: absolute; top: var(--block-label-margin); left: var(--block-label-margin); background: none; border: none;} | |
| textarea:hover { background:#55555555;} | |
| textarea { overflow-y: scroll; top:0px; width: 100%; height:100%!important; | |
| font-size: 1.5em; | |
| letter-spacing: 3px; | |
| color: limegreen; | |
| border: none!important; | |
| background: none; | |
| outline: none !important; } | |
| .svelte-5y6bt2 {max-height:161px;min-height:160px;} | |
| .hide-container { max-height: 2px; position: fixed; min-height: 1px;} | |
| .svelte-1gfkn6j {display:none;} | |
| .gradio-container .gri-textbox .gri-input { border: none; padding: 0; background: transparent; box-shadow: none; } | |
| .padded.svelte-5y6bt2:hover { border:1px solid cyan;} | |
| .padded.svelte-5y6bt2 { | |
| border: none; | |
| background: none!important; padding: 0px!important; min-width:100%!important; max-width:101%!important;position:relative;right:0px;max-height:100%; } | |
| .secondary.svelte-1137axg { | |
| width: 200px; | |
| flex: none!important; | |
| position: relative; | |
| min-width: 160px; | |
| border: var(--button-border-width) solid | |
| var(--button-secondary-border-color); | |
| background: var(--button-secondary-background-fill); | |
| color: var(--button-secondary-text-color); | |
| box-shadow: var(--button-secondary-shadow); | |
| left: 0px; | |
| float: left; | |
| } | |
| div.svelte-633qhp { | |
| /* display: flex; */ | |
| /* flex-direction: inherit; */ | |
| /* flex-wrap: wrap; */ | |
| gap: var(--form-gap-width); | |
| box-shadow: var(--block-shadow); | |
| height: 20px; | |
| width: 250px; | |
| position:fixed; | |
| left:calc(50% - 100px); | |
| flex: none!important; | |
| /* border: var(--block-border-width) solid var(--block-border-color); */ | |
| /* border-radius: var(--block-radius); */ | |
| /* background: var(--border-color-primary); */ | |
| /* overflow-y: hidden; */ | |
| } | |
| .form.svelte-633qhp{ | |
| height:50px; | |
| width:auto!important; | |
| z-index: 4000; | |
| position: fixed; | |
| flex: auto!important; | |
| border: none!important; | |
| background: none!important; | |
| min-width: 30%!important; | |
| min-height: 45px !important; | |
| resize:both; | |
| left: 50%; | |
| transform: translate(-50%,0); | |
| } | |
| .input-container.svelte-11mx0st.svelte-11mx0st { | |
| /* display: flex; */ | |
| top: 0px; | |
| position: absolute; | |
| align-items: flex-end; | |
| bottom: 0px; | |
| background: none; | |
| border: none; | |
| left: 0px; | |
| right: 0px; | |
| } | |
| } | |
| """) as demo: | |
| gr.Markdown("<script>" + js_code + "</script>") | |
| make_me() | |
| demo.queue() | |
| demo.queue = False | |
| demo.config["queue"] = False | |
| demo.launch(max_threads=200) | |