Update app.py

app.py

@@ -1,13 +1,3 @@
-#!/usr/bin/env python
-#patch 3.0 ()
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
-#
-# ...
 import os
 import random
 import uuid
@@ -20,7 +10,6 @@ import torch
 from diffusers import DiffusionPipeline, StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
 from typing import Tuple
 
-#BaseConditions--
 bad_words = json.loads(os.getenv('BAD_WORDS', "[]"))
 bad_words_negative = json.loads(os.getenv('BAD_WORDS_NEGATIVE', "[]"))
 default_negative = os.getenv("default_negative","")
@@ -257,22 +246,6 @@ def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str
         negative = ""
     return p.replace("{prompt}", positive), n + negative
 
-    
-
-DESCRIPTION = """## IMAGINEO 4K 🏞️
-
-
-"""
-
-DESCRIPTIONy = """
-            <p align="left">
-            <a title="Github" href="https://github.com/PRITHIVSAKTHIUR/Imagineo-4K" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
-                <img src="https://img.shields.io/github/stars/PRITHIVSAKTHIUR/Imagineo-4K?label=GitHub%20%E2%98%85&logo=github&color=C8C" alt="badge-github-stars">
-            </a>
-            </p>
-"""
-
-
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>⚠️Running on CPU, This may not work on CPU.</p>"
 
@@ -311,37 +284,6 @@ def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
         seed = random.randint(0, MAX_SEED)
     return seed
 
-#Load the HTML content
-#html_file_url = "https://prithivmlmods-hamster-static.static.hf.space/index.html"
-#html_content = f'<iframe src="{html_file_url}" style="width:100%; height:180px; border:none;"></iframe>'
-#html_file_url = "https://prithivmlmods-static-loading-theme.static.hf.space/index.html"
-#html_file_url = ""
-#html_content = f'<iframe src="{html_file_url}" style="width:100%; height:400px; border:none"></iframe>'
-
-
-#js_func = """
-
-#<script>
-#(function() {
-#    const url = new URL(window.location);
-#    const currentTheme = url.searchParams.get('__theme');
-
-#   if (currentTheme !== 'dark') {
-#        url.searchParams.set('__theme', 'dark');
-#       history.pushState({}, '', url.href);
-#        applyDarkTheme();
-#   }
-#})();
-
-
-#function applyDarkTheme() {
-# // Example: Apply dark theme styles to body or specific elements
-#  document.body.classList.add('dark-theme');
-#   // Additional logic as needed
-#}
-#</script>
-#"""
-
 @spaces.GPU(enable_queue=True)
 def generate(
     prompt: str,
@@ -413,34 +355,6 @@ def generate(
     save_image(grid_img, unique_name)
     return [unique_name], seed
 
-def load_predefined_images1():
-    predefined_images1 = [
-        "Tones/1.png",
-        "Tones/2.png",
-        "Tones/3.png",
-        "Tones/4.png",
-        "Tones/5.png",
-        "Tones/6.png",
-        "Tones/7.png",
-        "Tones/8.png",
-        "Tones/9.png",
-    ]
-    return predefined_images1
-
-def load_predefined_images():
-    predefined_images = [
-        "assets/11.png",
-        "assets/22.png",
-        "assets/33.png",
-        "assets/44.png",
-        "assets/55.png",
-        "assets/66.png",
-        "assets/77.png",
-        "assets/88.png",
-        "assets/99.png",
-    ]
-    return predefined_images
-
 examples = [
 
     "Chocolate dripping from a donut against a yellow background, in the style of brocore, hyper-realistic oil --ar 2:3 --q 2 --s 750 --v 5  --ar 2:3 --q 2 --s 750 --v 5",
@@ -456,8 +370,8 @@ h1{text-align:center}
 '''
 
 with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
-    gr.Markdown(DESCRIPTION)
     with gr.Row():
+        with gr.Column(scale=1):
         prompt = gr.Text(
             label="Prompt",
             show_label=False,
@@ -465,121 +379,122 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
             placeholder="Enter your prompt",
             container=False,
         )
-        run_button = gr.Button("Run", scale=0)
-    result = gr.Gallery(label="Result", columns=1, show_label=False)
-    
-    with gr.Row(visible=True):
-        grid_size_selection = gr.Dropdown(
-            choices=["2x1", "1x2", "2x2", "2x3", "3x2", "1x1"],
-            value="1x1",
-            label="Grid Size"
-        )
-
-    with gr.Row(visible=True):
-        filter_selection = gr.Dropdown(
-            show_label=True,
-            container=True,
-            interactive=True,
-            choices=FILTER_NAMES,
-            value=DEFAULT_FILTER_NAME,
-            label="Filter Type",
-        )
-
-    with gr.Row(visible=True):
-        collage_style_selection = gr.Dropdown(
-            show_label=True,
-            container=True,
-            interactive=True,
-            choices=COLLAGE_STYLE_NAMES,
-            value=DEFAULT_COLLAGE_STYLE_NAME,
-            label="Collage Template + Duotone Canvas",
-        )
+        run_button = gr.Button("Generate as ( 1024 x 1024 )", scale=0)
     
-    with gr.Row(visible=True):
-        style_selection = gr.Dropdown(
-            show_label=True,
-            container=True,
-            interactive=True,
-            choices=STYLE_NAMES,
-            value=DEFAULT_STYLE_NAME,
-            label="Quality Style",
-        )
-
-    with gr.Accordion("Advanced options", open=False):
-        use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True, visible=True)
-        negative_prompt = gr.Text(
-            label="Negative prompt",
-            max_lines=1,
-            placeholder="Enter a negative prompt",
-            value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation",
-            visible=True,
-        )
-        with gr.Row():
-            num_inference_steps = gr.Slider(
-                label="Steps",
-                minimum=10,
-                maximum=60,
-                step=1,
-                value=30,
+        with gr.Row(visible=True):
+            grid_size_selection = gr.Dropdown(
+                choices=["2x1", "1x2", "2x2", "2x3", "3x2", "1x1"],
+                value="1x1",
+                label="Grid Size"
             )
-        with gr.Row():
-            num_images_per_prompt = gr.Slider(
-                label="Images",
-                minimum=1,
-                maximum=5,
-                step=1,
-                value=2,
+
+        with gr.Row(visible=True):
+            filter_selection = gr.Dropdown(
+                show_label=True,
+                container=True,
+                interactive=True,
+                choices=FILTER_NAMES,
+                value=DEFAULT_FILTER_NAME,
+                label="Filter Type",
             )
-        seed = gr.Slider(
-            label="Seed",
-            minimum=0,
-            maximum=MAX_SEED,
-            step=1,
-            value=0,
-            visible=True
-        )
-        randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
 
         with gr.Row(visible=True):
-            width = gr.Slider(
-                label="Width",
-                minimum=512,
-                maximum=2048,
-                step=64,
-                value=1024,
+            collage_style_selection = gr.Dropdown(
+                show_label=True,
+                container=True,
+                interactive=True,
+                choices=COLLAGE_STYLE_NAMES,
+                value=DEFAULT_COLLAGE_STYLE_NAME,
+                label="Collage Template + Duotone Canvas",
             )
-            height = gr.Slider(
-                label="Height",
-                minimum=512,
-                maximum=2048,
-                step=64,
-                value=1024,
+    
+        with gr.Row(visible=True):
+            style_selection = gr.Dropdown(
+                show_label=True,
+                container=True,
+                interactive=True,
+                choices=STYLE_NAMES,
+                value=DEFAULT_STYLE_NAME,
+                label="Quality Style",
             )
 
-        with gr.Row():
-            guidance_scale = gr.Slider(
-                label="Guidance Scale",
-                minimum=0.1,
-                maximum=20.0,
-                step=0.1,
-                value=6,
+        with gr.Accordion("Advanced options", open=False):
+            use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True, visible=True)
+            negative_prompt = gr.Text(
+                label="Negative prompt",
+                max_lines=1,
+                placeholder="Enter a negative prompt",
+                value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation",
+                visible=True,
             )
-
-    gr.Examples(
-        examples=examples,
-        inputs=prompt,
-        outputs=[result, seed],
-        fn=generate,
-        #cache_examples=True
-        cache_examples=CACHE_EXAMPLES,
-    )
-
-    use_negative_prompt.change(
-        fn=lambda x: gr.update(visible=x),
-        inputs=use_negative_prompt,
-        outputs=negative_prompt,
-        api_name=False,
-    )
+            with gr.Row():
+                num_inference_steps = gr.Slider(
+                    label="Steps",
+                    minimum=10,
+                    maximum=60,
+                    step=1,
+                    value=30,
+                )
+            with gr.Row():
+                num_images_per_prompt = gr.Slider(
+                    label="Images",
+                    minimum=1,
+                    maximum=5,
+                    step=1,
+                    value=2,
+                )
+            seed = gr.Slider(
+                label="Seed",
+                minimum=0,
+                maximum=MAX_SEED,
+                step=1,
+                value=0,
+                visible=True
+            )
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+    
+            with gr.Row(visible=True):
+                width = gr.Slider(
+                    label="Width",
+                    minimum=512,
+                    maximum=2048,
+                    step=64,
+                    value=1024,
+                )
+                height = gr.Slider(
+                    label="Height",
+                    minimum=512,
+                    maximum=2048,
+                    step=64,
+                    value=1024,
+                )
+    
+            with gr.Row():
+                guidance_scale = gr.Slider(
+                    label="Guidance Scale",
+                    minimum=0.1,
+                    maximum=20.0,
+                    step=0.1,
+                    value=6,
+                )
+
+        with gr.Column(scale=2):
+            result = gr.Gallery(label="Result", columns=1, show_label=False)
+                
+        gr.Examples(
+            examples=examples,
+            inputs=prompt,
+            outputs=[result, seed],
+            fn=generate,
+            cache_examples=CACHE_EXAMPLES,
+        )
+    
+        use_negative_prompt.change(
+            fn=lambda x: gr.update(visible=x),
+            inputs=use_negative_prompt,
+            outputs=negative_prompt,
+            api_name=False,
+        )
 
     gr.on(
         triggers=[
@@ -606,33 +521,5 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
         api_name="run",
     )
 
-    gr.Markdown("### Duotone Canvas")
-    predefined_gallery = gr.Gallery(label="Duotone Canvas", columns=3, show_label=False, value=load_predefined_images1())
-
-    gr.Markdown("### Image Gallery")
-    predefined_gallery = gr.Gallery(label="Image Gallery", columns=3, show_label=False, value=load_predefined_images())
-
-    gr.Markdown(DESCRIPTIONy)
-    gr.Markdown("**Disclaimer/Note:**")
-    #gr.Markdown("🏞️This is the demo space for generating images using Stable Diffusion with grids, filters, templates, quality styles, and types. Try the sample prompts to generate higher quality images. Try the sample prompts for generating higher quality images.<a href='https://huggingface.co/spaces/prithivMLmods/Top-Prompt-Collection' target='_blank'>Try prompts</a>.")
-    #gr.Markdown("🏞️This repository helps you run and work with Hugging Face spaces on your local CPU or using Colab Notebooks. If you find it helpful, give it a like or starring the repository.<a href='https://github.com/PRITHIVSAKTHIUR/How-to-run-huggingface-spaces-on-local-machine-demo' target='_blank'>Visit repo.</a>.")
-    #gr.Markdown("⚠️ users are accountable for the content they generate and are responsible for ensuring it meets appropriate ethical standards.")
-    #gr.HTML(html_content)
-
-    gr.Markdown("""
-    <div style='text-align: justify;'>
-    🐡This is the demo space for generating images using Stable Diffusion with grids, filters, templates, quality styles, and types. Try the sample prompts to generate higher quality images. Try the sample prompts for generating higher quality images. <a href='https://huggingface.co/spaces/prithivMLmods/Top-Prompt-Collection' target='_blank'>Try prompts</a>.
-    </div>""")
-
-    gr.Markdown("""
-    <div style='text-align: justify;'>
-    🐡This repository helps you run and work with Hugging Face spaces on your local CPU or using Colab Notebooks. If you find it helpful, give it a like or star the repository. <a href='https://github.com/PRITHIVSAKTHIUR/How-to-run-huggingface-spaces-on-local-machine-demo' target='_blank'>Visit repo.</a>.
-    </div>""")
-
-    gr.Markdown("""
-    <div style='text-align: justify;'>
-    ⚠️ Users are accountable for the content they generate and are responsible for ensuring it meets appropriate ethical standards.
-    </div>""")
-
 if __name__ == "__main__":
     demo.queue(max_size=40).launch()