app.py

import numpy as np
import gradio as gr
import requests
import time
import json
import base64
import os
from PIL import Image
from io import BytesIO

class Prodia:
    def __init__(self, api_key, base=None):
        self.base = base or "https://api.prodia.com/v1"
        self.headers = {
            "X-Prodia-Key": api_key
        }

    def generate(self, params):
        response = self._post(f"{self.base}/sdxl/generate", params)
        return response.json()

    def get_job(self, job_id):
        response = self._get(f"{self.base}/job/{job_id}")
        return response.json()

    def wait(self, job):
        job_result = job

        while job_result['status'] not in ['succeeded', 'failed']:
            time.sleep(0.25)
            job_result = self.get_job(job['job'])

        return job_result

    def list_models(self):
        response = self._get(f"{self.base}/sdxl/models")
        return response.json()

    def list_samplers(self):
        response = self._get(f"{self.base}/sdxl/samplers")
        return response.json()

    def _post(self, url, params):
        headers = {
            **self.headers,
            "Content-Type": "application/json"
        }
        response = requests.post(url, headers=headers, data=json.dumps(params))

        if response.status_code != 200:
            raise Exception(f"Bad Prodia Response: {response.status_code} - {response.text}")

        return response

    def _get(self, url):
        response = requests.get(url, headers=self.headers)

        if response.status_code != 200:
            raise Exception(f"Bad Prodia Response: {response.status_code} - {response.text}")

        return response

def image_to_base64(image_path):
    with Image.open(image_path) as image:
        buffered = BytesIO()
        image.save(buffered, format="PNG")
        img_str = base64.b64encode(buffered.getvalue())
    return img_str.decode('utf-8')

api_key = os.getenv("PRODIA_API_KEY")
if not api_key:
    raise ValueError("Prodia API key not found in environment variables")

prodia_client = Prodia(api_key=api_key)

def flip_text(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
    try:
        result = prodia_client.generate({
            "prompt": prompt,
            "negative_prompt": negative_prompt,
            "model": model,
            "steps": steps,
            "sampler": sampler,
            "cfg_scale": cfg_scale,
            "width": width,
            "height": height,
            "seed": seed
        })

        job = prodia_client.wait(result)

        if job['status'] == 'succeeded':
            return job["imageUrl"]
        else:
            return "Generation failed, please try again."

    except Exception as e:
        return f"An error occurred: {e}"

css = """
/* Overall Styling */
body {
    font-family: 'Arial', sans-serif;
}

.container {
    display: flex;
    flex-direction: column;
    gap: 20px;
}

/* Image Output Area */
#image-output-container {
    border: 2px solid #ccc;
    border-radius: 8px;
    overflow: hidden; 
}

#image-output {
    max-width: 100%;
    height: auto;
}

/* Settings Section */
#settings {
    display: grid;
    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); 
    gap: 20px;
}

.setting-group {
    border: 1px solid #ccc;
    padding: 20px;
    border-radius: 8px;
}

/* Button Styling */
#generate {
    background-color: #007bff; 
    color: white;
    padding: 15px 25px;
    border: none;
    border-radius: 5px;
    cursor: pointer;
}

#generate:hover {
    background-color: #0056b3; 
}

/* Responsive Design */
@media screen and (max-width: 768px) {
    #settings {
        grid-template-columns: 1fr; 
    }
}
"""

with gr.Blocks(css=css) as demo:
    state = gr.InterfaceState(value="Welcome Screen")

    def update_visibility(tab_state):
        return tab_state == "Main Generation Screen"

    with gr.Tabs() as tabs:
        with gr.Tab("Welcome Screen"):
            with gr.Row():
                logo = gr.Image(
                    value="http://disneypixaraigenerator.com/wp-content/uploads/2023/12/cropped-android-chrome-512x512-1.png",
                    elem_id="logo",
                    height=200,
                    width=300
                )

            with gr.Row():
                title = gr.Textbox("<h1 style='text-align: center;'>Disney Pixar AI Generator</h1>", elem_id="title")

            with gr.Row():
                start_button = gr.Button("Get Started", variant='primary', elem_id="start-button")

        with gr.Tab("Main Generation Screen"):
            with gr.Row():
                gr.Textbox("<h1 style='text-align: center;'>Create Your Disney Pixar AI Poster</h1>", elem_id="title")

            with gr.Row():
                image_output = gr.Image(
                    value="https://cdn-uploads.huggingface.co/production/uploads/noauth/XWJyh9DhMGXrzyRJk7SfP.png",
                    label="Generated Image",
                    elem_id="image-output"
                )

            with gr.Row():
                prompt = gr.Textbox(
                    "space warrior, beautiful, female, ultrarealistic, soft lighting, 8k",
                    placeholder="Enter your prompt here...", 
                    show_label=False, 
                    lines=3, 
                    elem_id="prompt-input"
                )
                negative_prompt = gr.Textbox(
                    placeholder="Enter negative prompts (optional)...", 
                    show_label=False, 
                    lines=3, 
                    value="3d, cartoon, anime, (deformed eyes, nose, ears, nose), bad anatomy, ugly"
                )