app.py

import base64
import dash
from dash import dcc, html, Input, Output, State
import dash_bootstrap_components as dbc
from dash.exceptions import PreventUpdate
import google.generativeai as genai
import requests
import logging
import threading
import io

# Set up logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')

# List of popular styles
STYLES = [
    "Hyper-realistic", "Oil Painting", "Watercolor", "Anime", 
    "Studio Ghibli", "Black and White", "Polaroid", "Sketch", 
    "3D Render", "Pixel Art", "Cyberpunk", "Steampunk", 
    "Art Nouveau", "Pop Art", "Minimalist"
]

# Default negative prompt (hidden from UI)
DEFAULT_NEGATIVE_PROMPT = """
ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, 
extra limbs, disfigured, deformed, body out of frame, bad anatomy, watermark, signature, 
cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face,
plastic, cartoonish, artificial, fake, unnatural
"""

app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])

app.layout = dbc.Container([
    html.H1("Insta-Image", className="my-4"),
    dbc.Card([
        dbc.CardBody([
            dbc.Input(id="google-api-key", type="password", placeholder="Enter Google AI API Key", className="mb-3"),
            dbc.Input(id="stability-api-key", type="password", placeholder="Enter Stability AI API Key", className="mb-3"),
            dbc.Textarea(id="prompt", placeholder="Enter your prompt", className="mb-3"),
            dcc.Dropdown(id="style", options=[{"label": s, "value": s} for s in STYLES], placeholder="Select style", className="mb-3"),
            dbc.Row([
                dbc.Col(dcc.Slider(id="cfg-scale", min=1, max=30, step=1, value=7, marks={1: '1', 15: '15', 30: '30'}, tooltip={"placement": "bottom", "always_visible": True}), width=6),
                dbc.Col(html.Div("CFG Scale"), width=6),
            ], className="mb-3"),
            dbc.Row([
                dbc.Col(dcc.Slider(id="steps", min=4, max=20, step=1, value=4, marks={4: '4', 12: '12', 20: '20'}, tooltip={"placement": "bottom", "always_visible": True}), width=6),
                dbc.Col(html.Div("Steps"), width=6),
            ], className="mb-3"),
            dbc.Button("Generate Image", id="submit-btn", color="primary", className="mb-3"),
        ])
    ], className="mb-4"),
    dbc.Card([
        dbc.CardBody([
            dcc.Loading(
                id="loading",
                type="circle",
                children=[
                    html.Div(id="status-message", className="mb-3"),
                    html.Img(id="image-output", className="img-fluid"),
                    html.Div(id="enhanced-prompt-output", className="mt-3"),
                ]
            ),
        ])
    ])
], fluid=True)

def enhance_prompt(google_api_key, prompt, style):
    genai.configure(api_key=google_api_key)
    model = genai.GenerativeModel("gemini-2.0-flash-lite")
    enhanced_prompt_request = f"""
    Task: Enhance the following prompt for high-quality, realistic image generation.
    Style: {style}
    Original prompt: '{prompt}'
    
    Instructions:
    1. Expand the prompt to be more detailed, vivid, and realistic in quality.
    2. Incorporate elements of the specified style, focusing on realism and natural appearances.
    3. Add details that enhance the realism of the scene, especially for elements like trees, textures, and lighting.
    4. Avoid terms that might result in artificial or cartoonish appearances unless specified.
    5. Maintain the original intent of the prompt while significantly improving its descriptive quality.
    6. Provide ONLY the enhanced prompt, without any explanations or options.
    7. Keep the enhanced prompt concise, ideally under 100 words.

    Enhanced prompt:
    """
    
    try:
        response = model.generate_content(enhanced_prompt_request)
        
        enhanced_prompt = response.text.strip()
        
        prefixes_to_remove = ["Enhanced prompt:", "Here's the enhanced prompt:", "The enhanced prompt is:"]
        for prefix in prefixes_to_remove:
            if enhanced_prompt.lower().startswith(prefix.lower()):
                enhanced_prompt = enhanced_prompt[len(prefix):].strip()
        
        logging.info(f"Enhanced prompt: {enhanced_prompt}")
        return enhanced_prompt
    except Exception as e:
        logging.error(f"Error in enhance_prompt: {str(e)}")
        raise

def generate_image(stability_api_key, enhanced_prompt, style, negative_prompt, cfg_scale, steps):
    url = "https://api.stability.ai/v2beta/stable-image/generate/sd3"
    
    headers = {
        "Accept": "image/*",
        "Authorization": f"Bearer {stability_api_key}"
    }
    
    data = {
        "prompt": f"{enhanced_prompt}, Style: {style}, highly detailed, photorealistic, high quality",
        "negative_prompt": negative_prompt,
        "model": "sd3.5-large-turbo",
        "output_format": "jpeg",
        "width": 1024,
        "height": 1024,
        "num_images": 1,
        "steps": steps,
        "cfg_scale": cfg_scale,
    }
    
    try:
        response = requests.post(url, headers=headers, files={"none": ''}, data=data)
        response.raise_for_status()
        
        logging.debug(f"Response headers: {response.headers}")
        logging.debug(f"Response content type: {response.headers.get('content-type')}")
        
        if response.headers.get('content-type').startswith('image/'):
            return response.content
        else:
            error_message = response.text
            logging.error(f"Unexpected content type: {response.headers.get('content-type')}. Response: {error_message}")
            raise Exception(f"Unexpected content type: {response.headers.get('content-type')}. Response: {error_message}")
    
    except requests.exceptions.RequestException as e:
        logging.error(f"Request failed: {str(e)}")
        raise Exception(f"Request failed: {str(e)}")

def process_and_generate(google_api_key, stability_api_key, prompt, style, cfg_scale, steps, set_status):
    try:
        set_status("Enhancing prompt...")
        enhanced_prompt = enhance_prompt(google_api_key, prompt, style)
        
        set_status("Generating image...")
        image_bytes = generate_image(stability_api_key, enhanced_prompt, style, DEFAULT_NEGATIVE_PROMPT, cfg_scale, steps)
        
        set_status("Image generated successfully!")
        return image_bytes, enhanced_prompt
    except Exception as e:
        logging.error(f"Error in process_and_generate: {str(e)}")
        set_status(f"Error: {str(e)}")
        return None, str(e)

@app.callback(
    [Output("image-output", "src"),
     Output("enhanced-prompt-output", "children"),
     Output("status-message", "children")],
    [Input("submit-btn", "n_clicks")],
    [State("google-api-key", "value"),
     State("stability-api-key", "value"),
     State("prompt", "value"),
     State("style", "value"),
     State("cfg-scale", "value"),
     State("steps", "value")],
    prevent_initial_call=True
)
def update_output(n_clicks, google_api_key, stability_api_key, prompt, style, cfg_scale, steps):
    if n_clicks is None:
        raise PreventUpdate
    
    status = {"message": "Starting process..."}
    
    def set_status(message):
        status["message"] = message
    
    def run_process():
        image_bytes, enhanced_prompt = process_and_generate(google_api_key, stability_api_key, prompt, style, cfg_scale, steps, set_status)
        if image_bytes:
            encoded_image = base64.b64encode(image_bytes).decode('ascii')
            return f"data:image/jpeg;base64,{encoded_image}", f"Enhanced Prompt: {enhanced_prompt}", status["message"]
        else:
            return "", f"Error: {enhanced_prompt}", status["message"]
    
    # Run the process in a separate thread
    thread = threading.Thread(target=run_process)
    thread.start()
    thread.join()  # Wait for the thread to complete
    
    return run_process()

if __name__ == '__main__':
    print("Starting the Dash application...")
    app.run(debug=True, host='0.0.0.0', port=7860)
    print("Dash application has finished running.")