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Update app.py
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app.py
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import gradio as gr
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import google.generativeai as genai
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import requests
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# List of popular styles
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STYLES = [
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"height": 1024,
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"num_images": 1,
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"steps": 30,
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"cfg_scale": 7.5
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}
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response = requests.post(url, json=payload, headers=headers)
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if response.status_code == 200:
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image_data = response.json()['images'][0]['image_base64']
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return
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else:
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def
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enhanced_prompt = enhance_prompt(google_api_key, prompt, style)
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def generate_from_enhanced(stability_api_key, enhanced_prompt, style, negative_prompt):
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image_url = generate_image(stability_api_key, enhanced_prompt, style, negative_prompt)
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return image_url
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with gr.Blocks() as demo:
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gr.Markdown("# Stability AI Image Generator with Google Gemini Prompt Enhancement")
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prompt = gr.Textbox(label="Prompt")
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style = gr.Dropdown(label="Style", choices=STYLES)
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negative_prompt = gr.Textbox(label="Negative Prompt", value=DEFAULT_NEGATIVE_PROMPT)
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generate_btn = gr.Button("Generate Image")
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with gr.Column(scale=1):
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image_output = gr.Image(label="Generated Image")
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enhanced_prompt_output = gr.Textbox(label="Enhanced Prompt")
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inputs=[google_api_key, prompt, style],
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outputs=[enhanced_prompt_output, enhanced_prompt_state]
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)
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generate_btn.click(
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generate_from_enhanced,
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inputs=[stability_api_key, enhanced_prompt_state, style, negative_prompt],
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outputs=[image_output]
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)
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demo.launch()
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import gradio as gr
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import google.generativeai as genai
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import requests
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import base64
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# List of popular styles
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STYLES = [
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"height": 1024,
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"num_images": 1,
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"steps": 30,
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"cfg_scale": 7.5,
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"seed": 0,
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"output_format": "png"
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}
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response = requests.post(url, json=payload, headers=headers)
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if response.status_code == 200:
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image_data = response.json()['images'][0]['image_base64']
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return base64.b64decode(image_data)
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else:
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raise Exception(f"Image generation failed: {response.text}")
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def process_and_generate(google_api_key, stability_api_key, prompt, style, negative_prompt):
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enhanced_prompt = enhance_prompt(google_api_key, prompt, style)
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image_data = generate_image(stability_api_key, enhanced_prompt, style, negative_prompt)
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return image_data, enhanced_prompt
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with gr.Blocks() as demo:
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gr.Markdown("# Stability AI Image Generator with Google Gemini Prompt Enhancement")
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prompt = gr.Textbox(label="Prompt")
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style = gr.Dropdown(label="Style", choices=STYLES)
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negative_prompt = gr.Textbox(label="Negative Prompt", value=DEFAULT_NEGATIVE_PROMPT)
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submit_btn = gr.Button("Generate Image")
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with gr.Column(scale=1):
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image_output = gr.Image(label="Generated Image")
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enhanced_prompt_output = gr.Textbox(label="Enhanced Prompt")
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submit_btn.click(
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process_and_generate,
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inputs=[google_api_key, stability_api_key, prompt, style, negative_prompt],
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outputs=[image_output, enhanced_prompt_output]
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)
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demo.launch()
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