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app.py
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import base64
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import dash
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from dash import dcc, html, Input, Output, State
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import dash_bootstrap_components as dbc
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from dash.exceptions import PreventUpdate
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import google.generativeai as genai
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import requests
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import logging
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import threading
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import time
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import os
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# Set up logging
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logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
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# Updated STYLES list
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STYLES = [
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"photographic", "3d-model", "analog-film", "anime", "cinematic", "comic-book",
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"digital-art", "enhance", "fantasy-art", "isometric", "line-art", "low-poly",
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"modeling-compound", "neon-punk", "origami", "pixel-art", "tile-texture"
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]
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# Default negative prompt (hidden from UI)
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DEFAULT_NEGATIVE_PROMPT = """
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ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame,
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extra limbs, disfigured, deformed, body out of frame, bad anatomy, watermark, signature,
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cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face,
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plastic, cartoonish, artificial, fake, unnatural, blurry, smooth, lack of detail, low quality
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"""
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app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
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app.layout = dbc.Container([
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html.H1("ImaGen", className="my-4"),
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dbc.Row([
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# Left column: Form entry
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dbc.Col([
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dbc.Card([
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dbc.CardBody([
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dbc.Textarea(id="prompt", placeholder="Enter your prompt", className="mb-3"),
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dcc.Dropdown(
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id="style",
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options=[{"label": s.replace("-", " ").title(), "value": s} for s in STYLES],
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value="photographic",
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placeholder="Select style",
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className="mb-3"
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),
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dbc.Button("Generate Image", id="submit-btn", color="primary", className="mb-3"),
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dbc.Accordion([
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dbc.AccordionItem(
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[
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dbc.Label("Aspect Ratio"),
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dcc.Dropdown(
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id="aspect-ratio",
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options=[
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{"label": ar, "value": ar} for ar in
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["16:9", "1:1", "21:9", "2:3", "3:2", "4:5", "5:4", "9:16", "9:21"]
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],
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value="1:1"
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),
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dbc.Label("Steps"),
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dcc.Slider(id="steps", min=4, max=50, step=1, value=30, marks={4: '4', 25: '25', 50: '50'}),
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],
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title="Advanced Settings",
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),
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], start_collapsed=True, className="mb-3"),
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])
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], className="mb-4"),
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], width=6),
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# Right column: Image preview
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dbc.Col([
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dbc.Card([
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dbc.CardBody([
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dcc.Loading(
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id="loading",
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type="circle",
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children=[
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html.Div(id="status-message", className="mb-3"),
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html.Img(id="image-output", className="img-fluid mb-3"),
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html.Div(id="enhanced-prompt-output", className="mb-3"),
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dbc.Button("Download Image", id="download-btn", color="secondary", className="mb-3", disabled=True),
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dcc.Download(id="download-image")
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]
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),
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])
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]),
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], width=6),
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]),
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], fluid=True)
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def enhance_prompt(google_api_key, prompt, style):
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genai.configure(api_key=google_api_key)
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model = genai.GenerativeModel("gemini-2.0-flash-lite")
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enhanced_prompt_request = f"""
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Task: Enhance the following prompt with details to match the specified style
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Style: {style}
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Original prompt: '{prompt}'
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Instructions:
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1. Expand the prompt to be more detailed, vivid, and realistic with camera used and the setting for that camera like ISO etc.
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2. Incorporate elements of the specified style.
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3. Add details that enhance the scene to the specified style
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4. Emphasize natural lighting and enhance the realism of textures and colors based on the specified style.
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5. Avoid terms that might result in artificial or cartoonish appearance unless specified by user.
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6. Maintain the original intent of the prompt while significantly improving its descriptive quality with details.
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7. Provide ONLY the enhanced prompt, without any explanations or options.
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8. Keep the enhanced prompt concise, ideally under 100 words.
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Enhanced prompt:
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"""
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try:
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response = model.generate_content(enhanced_prompt_request)
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enhanced_prompt = response.text.strip()
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prefixes_to_remove = ["Enhanced prompt:", "Here's the enhanced prompt:", "The enhanced prompt is:"]
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for prefix in prefixes_to_remove:
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if enhanced_prompt.lower().startswith(prefix.lower()):
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enhanced_prompt = enhanced_prompt[len(prefix):].strip()
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logging.info(f"Enhanced prompt: {enhanced_prompt}")
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return enhanced_prompt
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except Exception as e:
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logging.error(f"Error in enhance_prompt: {str(e)}")
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raise
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def generate_image(stability_api_key, enhanced_prompt, style, negative_prompt, steps, aspect_ratio):
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url = "https://api.stability.ai/v2beta/stable-image/generate/core"
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headers = {
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"Accept": "image/*",
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"Authorization": f"Bearer {stability_api_key}"
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}
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data = {
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"prompt": f"{enhanced_prompt}, Style: {style}, highly detailed, high quality, descriptive, sharp focus, intricate details",
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"negative_prompt": negative_prompt,
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"model": "sd3.5-large-turbo",
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"output_format": "jpeg",
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"num_images": 1,
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"steps": steps,
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"style_preset": style,
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"aspect_ratio": aspect_ratio,
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}
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try:
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response = requests.post(url, headers=headers, files={"none": ''}, data=data, timeout=60)
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response.raise_for_status()
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logging.debug(f"Response headers: {response.headers}")
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logging.debug(f"Response content type: {response.headers.get('content-type')}")
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if response.headers.get('content-type').startswith('image/'):
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image_data = response.content
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if len(image_data) < 1000:
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raise Exception("Received incomplete image data")
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return image_data
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else:
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error_message = response.text
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logging.error(f"Unexpected content type: {response.headers.get('content-type')}. Response: {error_message}")
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raise Exception(f"Unexpected content type: {response.headers.get('content-type')}. Response: {error_message}")
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except requests.exceptions.RequestException as e:
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logging.error(f"Request failed: {str(e)}")
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raise Exception(f"Request failed: {str(e)}")
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def process_and_generate(google_api_key, stability_api_key, prompt, style, steps, aspect_ratio, set_status):
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try:
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set_status("Enhancing prompt...")
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enhanced_prompt = enhance_prompt(google_api_key, prompt, style)
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set_status("Generating image...")
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max_attempts = 3
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for attempt in range(max_attempts):
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try:
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image_bytes = generate_image(stability_api_key, enhanced_prompt, style, DEFAULT_NEGATIVE_PROMPT, steps, aspect_ratio)
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set_status("Image generated successfully!")
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return image_bytes, enhanced_prompt
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except Exception as e:
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if attempt < max_attempts - 1:
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set_status(f"Attempt {attempt + 1} failed. Retrying...")
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time.sleep(2)
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else:
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raise e
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except Exception as e:
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logging.error(f"Error in process_and_generate: {str(e)}")
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set_status(f"Error: {str(e)}")
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return None, str(e)
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@app.callback(
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[Output("image-output", "src"),
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Output("enhanced-prompt-output", "children"),
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Output("status-message", "children"),
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Output("download-btn", "disabled")],
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[Input("submit-btn", "n_clicks")],
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[State("prompt", "value"),
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State("style", "value"),
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State("steps", "value"),
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State("aspect-ratio", "value")],
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prevent_initial_call=True
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)
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def update_output(n_clicks, prompt, style, steps, aspect_ratio):
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if n_clicks is None:
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raise PreventUpdate
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google_api_key = os.getenv('GOOGLE_API_KEY')
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stability_api_key = os.getenv('STABILITY_API_KEY')
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if not google_api_key or not stability_api_key:
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return "", "Error: API keys not found in environment variables", "API keys missing", True
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logging.debug(f"Stability API Key (first 4 chars): {stability_api_key[:4]}...")
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status = {"message": "Starting process..."}
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def set_status(message):
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status["message"] = message
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def run_process():
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image_bytes, enhanced_prompt = process_and_generate(google_api_key, stability_api_key, prompt, style, steps, aspect_ratio, set_status)
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if image_bytes:
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encoded_image = base64.b64encode(image_bytes).decode('ascii')
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return f"data:image/jpeg;base64,{encoded_image}", f"Enhanced Prompt: {enhanced_prompt}", status["message"], False
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else:
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return "", f"Error: {enhanced_prompt}", status["message"], True
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try:
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thread = threading.Thread(target=run_process)
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thread.start()
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thread.join(timeout=90)
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if thread.is_alive():
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return "", "Error: Image generation timed out", "Process timed out", True
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return run_process()
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except Exception as e:
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logging.error(f"Unexpected error in update_output: {str(e)}")
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return "", f"Unexpected error: {str(e)}", "An unexpected error occurred", True
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@app.callback(
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Output("download-image", "data"),
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Input("download-btn", "n_clicks"),
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State("image-output", "src"),
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prevent_initial_call=True
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)
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def download_image(n_clicks, image_src):
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if n_clicks is None:
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raise PreventUpdate
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+
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image_data = image_src.split(",")[1]
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image_bytes = base64.b64decode(image_data)
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return dcc.send_bytes(image_bytes, "generated_image.jpeg")
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if __name__ == '__main__':
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print("Starting the Dash application...")
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app.run(debug=False, host='0.0.0.0', port=7860)
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print("Dash application has finished running.")
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