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Update app.py
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app.py
CHANGED
@@ -1,11 +1,10 @@
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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
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from io import BytesIO
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import numpy as np
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# Coder: Create directories if they don't exist
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@@ -14,13 +13,7 @@ if not os.path.exists('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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# New addition: Function to convert PIL Image to base64 encoded string
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def image_to_base64(img):
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buffered = BytesIO()
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img.save(buffered, format="PNG")
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return base64.b64encode(buffered.getvalue()).decode("utf-8")
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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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@@ -63,8 +56,8 @@ def list_saved_prompts_and_images():
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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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@@ -84,21 +77,18 @@ def send_it1(inputs, model_choice, download_link):
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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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# Encode image as base64
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img_base64 = ""
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if isinstance(output1, Image.Image):
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img_base64 = image_to_base64(output1)
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download_html = f'<a href="data:image/png;base64,{img_base64}" download="{safe_filename}.png">Download Image</a>'
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download_link.update(download_html)
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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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@@ -126,11 +116,7 @@ with gr.Blocks(css=css) as myface:
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with gr.Tab("Title"):
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gr.HTML("""<title>Prompt to Generate Image</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
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<h1>Enter a Prompt in Textbox then click Generate Image</h1>""")
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with gr.Column(scale=100):
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# New addition: HTML component to hold download link
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download_link = gr.HTML(label="Download Link")
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with gr.Tab("Tools"):
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with gr.Tab("View"):
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with gr.Row():
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@@ -197,10 +183,7 @@ with gr.Blocks(css=css) as myface:
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# Reasoning: Link functions to Gradio components 🎛️
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model_name1.change(set_model, inputs=model_name1, outputs=[output1])
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# Reasoning: Link functions to Gradio components 🎛️
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run.click(send_it1, inputs=[magic1, model_name1, download_link], 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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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_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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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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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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with gr.Tab("Title"):
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gr.HTML("""<title>Prompt to Generate Image</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
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<h1>Enter a Prompt in Textbox then click Generate Image</h1>""")
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with gr.Tab("Tools"):
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with gr.Tab("View"):
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with gr.Row():
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# Reasoning: Link functions to Gradio components 🎛️
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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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