import os

# Install Flask if not already installed
return_code = os.system('pip install flask')
if return_code != 0:
    raise RuntimeError("Failed to install Flask")

import gradio as gr
from random import randint
from all_models import models
from flask import Flask, request, send_file
from io import BytesIO
from PIL import Image

app = Flask(__name__)

def load_fn(models):
    global models_load
    models_load = {}
    
    for model in models:
        if model not in models_load.keys():
            try:
                m = gr.load(f'models/{model}')
            except Exception as error:
                m = gr.Interface(lambda txt: None, ['text'], ['image'])
            models_load.update({model: m})

load_fn(models)

num_models = 6
default_models = models[:num_models]

def extend_choices(choices):
    return choices + (num_models - len(choices)) * ['NA']

def update_imgbox(choices):
    choices_plus = extend_choices(choices)
    return [gr.Image(None, label=m, visible=(m != 'NA')) for m in choices_plus]

def gen_fn(model_str, prompt, negative_prompt=None):
    if model_str == 'NA':
        return None
    noise = str('')  # Optional: str(randint(0, 99999999999))
    try:
        full_prompt = f'{prompt} {noise}'
        if negative_prompt:
            full_prompt += f' -{negative_prompt}'
        result = models_load[model_str](full_prompt)
        # Check if result is an image or a file path
        if isinstance(result, str):  # Assuming result might be a file path
            if os.path.exists(result):
                return Image.open(result)
            else:
                print(f"File path not found: {result}")
                return None
        elif isinstance(result, Image.Image):
            return result
        else:
            print("Result is not an image:", type(result))
            return None
    except Exception as e:
        print("Error generating image:", e)
        return None

@app.route('/', methods=['GET'])
def home():
    prompt = request.args.get('prompt', '')
    model = request.args.get('model', default_models[0] if default_models else 'NA')
    negative_prompt = request.args.get('Nprompt', None)
    
    if not model or model not in models_load:
        return f'Invalid model: {model}', 400
    
    if prompt:
        # Generate the image
        image = gen_fn(model, prompt, negative_prompt)
        if isinstance(image, Image.Image):  # Ensure the result is a PIL image
            # Save image to BytesIO object
            img_io = BytesIO()
            image.save(img_io, format='PNG')
            img_io.seek(0)
            return send_file(img_io, mimetype='image/png', as_attachment=False)
        return 'Failed to generate image.', 500
    return 'Please provide a "prompt" query parameter in the URL.', 400

if __name__ == '__main__':
    # Launch Flask app
    app.run(host='0.0.0.0', port=7860)  # Run Flask app