Spaces:
Runtime error
Runtime error
File size: 7,473 Bytes
edc20ce eabaf86 edc20ce eabaf86 edc20ce eabaf86 edc20ce 56286b1 eabaf86 56286b1 eabaf86 edc20ce eabaf86 edc20ce 8c56a9e edc20ce eabaf86 edc20ce eabaf86 edc20ce eabaf86 edc20ce eabaf86 edc20ce eabaf86 edc20ce d2a996e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 |
import gradio as gr
import os
import sys
from pathlib import Path
from PIL import Image
import re
from PIL import Image
import numpy as np
# Coder: Create directories if they don't exist
if not os.path.exists('saved_prompts'):
os.makedirs('saved_prompts')
if not os.path.exists('saved_images'):
os.makedirs('saved_images')
# Humanities: Elegant function to generate a safe filename 📝
def generate_safe_filename(text):
return re.sub('[^a-zA-Z0-9]', '_', text)
def load_models_from_file(filename):
with open(filename, 'r') as f:
return [line.strip() for line in f]
if __name__ == "__main__":
models = load_models_from_file('models.txt')
print(models)
#removed to removed.txt
current_model = models[0]
text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
models2 = [gr.Interface.load(f"models/{model}", live=True, preprocess=False) for model in models]
def text_it1(inputs,text_gen1=text_gen1):
go_t1=text_gen1(inputs)
return(go_t1)
def set_model(current_model):
current_model = models[current_model]
return gr.update(label=(f"{current_model}"))
# Analysis: Function to list saved prompts and images 📊
def list_saved_prompts_and_images():
saved_prompts = os.listdir('saved_prompts')
saved_images = os.listdir('saved_images')
html_str = "<h2>Saved Prompts and Images:</h2><ul>"
for prompt_file in saved_prompts:
image_file = f"{prompt_file[:-4]}.png"
if image_file in saved_images:
html_str += f'<li>Prompt: {prompt_file[:-4]} | <a href="saved_images/{image_file}" download>Download Image</a></li>'
html_str += "</ul>"
return html_str
# Coder: Modified function to save the prompt and image 🖼️
def send_it1(inputs, model_choice):
proc1 = models2[model_choice]
output1 = proc1(inputs)
safe_filename = generate_safe_filename(inputs[0])
image_path = f"saved_images/{safe_filename}.png"
prompt_path = f"saved_prompts/{safe_filename}.txt"
with open(prompt_path, 'w') as f:
f.write(inputs[0])
# Check the type of output1 before saving
if isinstance(output1, np.ndarray): # If it's a numpy array
Image.fromarray(np.uint8(output1)).save(image_path)
elif isinstance(output1, Image.Image): # If it's already a PIL Image
output1.save(image_path)
elif isinstance(output1, str): # If it's a string (this should not happen in ideal conditions)
print(f"Warning: output1 is a string. Cannot save as image. Value: {output1}")
else:
print(f"Warning: Unexpected type {type(output1)} for output1.")
#Image.fromarray(output1).save(image_path)
saved_output.update(list_saved_prompts_and_images())
return output1
css=""""""
with gr.Blocks(css=css) as myface:
gr.HTML("""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="twitter:card" content="player"/>
<meta name="twitter:site" content=""/>
<meta name="twitter:player" content="https://omnibus-maximum-multiplier-places.hf.space"/>
<meta name="twitter:player:stream" content="https://omnibus-maximum-multiplier-places.hf.space"/>
<meta name="twitter:player:width" content="100%"/>
<meta name="twitter:player:height" content="600"/>
<meta property="og:title" content="Embedded Live Viewer"/>
<meta property="og:description" content="Tweet Genie - A Huggingface Space"/>
<meta property="og:image" content="https://cdn.glitch.global/80dbe92e-ce75-44af-84d5-74a2e21e9e55/omnicard.png?v=1676772531627"/>
<!--<meta http-equiv="refresh" content="0; url=https://huggingface.co/spaces/corbt/tweet-genie">-->
</head>
</html>
""")
with gr.Row():
with gr.Column(scale=100):
saved_output = gr.HTML(label="Saved Prompts and Images")
with gr.Row():
with gr.Tab("Title"):
gr.HTML("""<title>Prompt to Generate Image</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
<h1>Enter a Prompt in Textbox then click Generate Image</h1>""")
with gr.Tab("Tools"):
with gr.Tab("View"):
with gr.Row():
with gr.Column(style="width=50%, height=70%"):
gr.Pil(label="Crop")
with gr.Column(style="width=50%, height=70%"):
gr.Pil(label="Crop")
with gr.Tab("Draw"):
with gr.Column(style="width=50%, height=70%"):
gr.Pil(label="Crop")
with gr.Column(style="width=50%, height=70%"):
gr.Pil(label="Draw")
gr.ImagePaint(label="Draw")
with gr.Tab("Text"):
with gr.Row():
with gr.Column(scale=50):
gr.Textbox(label="", lines=8, interactive=True)
with gr.Column(scale=50):
gr.Textbox(label="", lines=8, interactive=True)
with gr.Tab("Color Picker"):
with gr.Row():
with gr.Column(scale=50):
gr.ColorPicker(label="Color", interactive=True)
with gr.Column(scale=50):
gr.ImagePaint(label="Draw", interactive=True)
with gr.Row():
with gr.Column(scale=100):
magic1=gr.Textbox(lines=4)
run=gr.Button("Generate Image")
with gr.Row():
with gr.Column(scale=100):
model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", value=current_model, interactive=True)
with gr.Row():
with gr.Column(style="width=800px"):
output1=gr.Image(label=(f"{current_model}"))
# Check the type before attempting to save the image
if isinstance(output1, Image.Image): # Check if it's a PIL Image object
output1.save(image_path)
elif isinstance(output1, np.ndarray): # Check if it's a NumPy array
Image.fromarray(np.array(output1, dtype=np.uint8)).save(image_path)
else:
print(f"Warning: Unexpected type {type(output1)} for output1.")
with gr.Row():
with gr.Column(scale=50):
input_text=gr.Textbox(label="Prompt Idea",lines=2)
use_short=gr.Button("Use Short Prompt")
see_prompts=gr.Button("Extend Idea")
with gr.Row():
with gr.Column(scale=100):
saved_output = gr.HTML(label=list_saved_prompts_and_images(), live=True)
def short_prompt(inputs):
return(inputs)
use_short.click(short_prompt,inputs=[input_text],outputs=magic1)
see_prompts.click(text_it1,inputs=[input_text],outputs=magic1)
# Reasoning: Link functions to Gradio components 🎛️
model_name1.change(set_model, inputs=model_name1, outputs=[output1])
run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1])
myface.queue(concurrency_count=200)
myface.launch(inline=True, show_api=False, max_threads=400)
|