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Update app.py
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app.py
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@@ -1,22 +1,23 @@
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import gradio as gr
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import os
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import sys
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from pathlib import Path
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from PIL import Image
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import re
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import numpy as np
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# Create directories if they don't exist
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if not os.path.exists('saved_prompts'):
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os.makedirs('saved_prompts')
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if not os.path.exists('saved_images'):
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os.makedirs('saved_images')
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#
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def generate_safe_filename(text):
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return re.sub('[^a-zA-Z0-9]', '_', text)
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# Function to load models from a text file
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def load_models_from_file(filename):
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with open(filename, 'r') as f:
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return [line.strip() for line in f]
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@@ -24,53 +25,71 @@ def load_models_from_file(filename):
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if __name__ == "__main__":
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models = load_models_from_file('models.txt')
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print(models)
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current_model = models[0]
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models2 = [gr.Interface.load(f"models/{model}", live=True, preprocess=False) for model in models]
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# Function to trigger text generation
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def text_it1(inputs, text_gen1=text_gen1):
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go_t1 = text_gen1(inputs)
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return (go_t1)
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def set_model(current_model):
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current_model = models[current_model]
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return gr.update(label=(f"{current_model}"))
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# Function to list saved prompts and images
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def list_saved_prompts_and_images():
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saved_prompts = os.listdir('saved_prompts')
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saved_images = os.listdir('saved_images')
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html_str = "<h2>Saved Prompts and Images:</h2><ul>"
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for prompt_file in saved_prompts:
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image_file = f"{prompt_file[:-4]}.png"
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if image_file in saved_images:
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html_str += f'<li>Prompt: {prompt_file[:-4]} | <a href="saved_images/{image_file}" download>Download Image</a></li>'
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html_str += "</ul>"
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return html_str
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#
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def send_it1(inputs, model_choice):
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proc1 = models2[model_choice]
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output1 = proc1(inputs)
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safe_filename = generate_safe_filename(inputs[0])
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image_path = f"saved_images/{safe_filename}.png"
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prompt_path = f"saved_prompts/{safe_filename}.txt"
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with open(prompt_path, 'w') as f:
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f.write(inputs[0])
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if isinstance(output1, np.ndarray): # If it's a numpy array
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Image.fromarray(np.uint8(output1)).save(image_path)
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elif isinstance(output1, Image.Image): # If it's already a PIL Image
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output1.save(image_path)
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else:
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print(f"Warning: Unexpected type {type(output1)} for output1.")
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return output1
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gr.HTML("""<!DOCTYPE html>
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<html lang="en">
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<head>
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@@ -166,8 +185,5 @@ with gr.Blocks() as myface:
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model_name1.change(set_model, inputs=model_name1, outputs=[output1])
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run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1])
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# Launch the Gradio interface
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myface.queue(concurrency_count=200)
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myface.launch(inline=True, show_api=False, max_threads=400)
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import gradio as gr
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import os
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import sys
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from pathlib import Path
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from PIL import Image
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import re
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from PIL import Image
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import numpy as np
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# Coder: Create directories if they don't exist
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if not os.path.exists('saved_prompts'):
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os.makedirs('saved_prompts')
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if not os.path.exists('saved_images'):
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os.makedirs('saved_images')
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# Humanities: Elegant function to generate a safe filename 📝
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def generate_safe_filename(text):
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return re.sub('[^a-zA-Z0-9]', '_', text)
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def load_models_from_file(filename):
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with open(filename, 'r') as f:
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return [line.strip() for line in f]
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if __name__ == "__main__":
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models = load_models_from_file('models.txt')
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print(models)
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#removed to removed.txt
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current_model = models[0]
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text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
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models2 = [gr.Interface.load(f"models/{model}", live=True, preprocess=False) for model in models]
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def text_it1(inputs,text_gen1=text_gen1):
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go_t1=text_gen1(inputs)
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return(go_t1)
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def set_model(current_model):
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current_model = models[current_model]
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return gr.update(label=(f"{current_model}"))
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# Analysis: Function to list saved prompts and images 📊
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def list_saved_prompts_and_images():
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saved_prompts = os.listdir('saved_prompts')
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saved_images = os.listdir('saved_images')
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html_str = "<h2>Saved Prompts and Images:</h2><ul>"
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for prompt_file in saved_prompts:
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image_file = f"{prompt_file[:-4]}.png"
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if image_file in saved_images:
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html_str += f'<li>Prompt: {prompt_file[:-4]} | <a href="saved_images/{image_file}" download>Download Image</a></li>'
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html_str += "</ul>"
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return html_str
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# Coder: Modified function to save the prompt and image 🖼️
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def send_it1(inputs, model_choice):
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proc1 = models2[model_choice]
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output1 = proc1(inputs)
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safe_filename = generate_safe_filename(inputs[0])
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image_path = f"saved_images/{safe_filename}.png"
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prompt_path = f"saved_prompts/{safe_filename}.txt"
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with open(prompt_path, 'w') as f:
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f.write(inputs[0])
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# Check the type of output1 before saving
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if isinstance(output1, np.ndarray): # If it's a numpy array
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Image.fromarray(np.uint8(output1)).save(image_path)
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elif isinstance(output1, Image.Image): # If it's already a PIL Image
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output1.save(image_path)
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elif isinstance(output1, str): # If it's a string (this should not happen in ideal conditions)
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print(f"Warning: output1 is a string. Cannot save as image. Value: {output1}")
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else:
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print(f"Warning: Unexpected type {type(output1)} for output1.")
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#Image.fromarray(output1).save(image_path)
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saved_output.update(list_saved_prompts_and_images())
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return output1
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css=""""""
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with gr.Blocks(css=css) as myface:
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gr.HTML("""<!DOCTYPE html>
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<html lang="en">
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<head>
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model_name1.change(set_model, inputs=model_name1, outputs=[output1])
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run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1])
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myface.queue(concurrency_count=200)
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myface.launch(inline=True, show_api=False, max_threads=400)
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