import gradio as gr
import requests
import io
import re
import random
import os
from PIL import Image
from datasets import load_dataset
from huggingface_hub import login

login(token=os.getenv("HF_READ_TOKEN"))

API_URL = "https://api-inference.huggingface.co/models/openskyml/open-diffusion-v1"
API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
headers = {"Authorization": f"Bearer {API_TOKEN}"}

word_list_dataset = load_dataset("openskyml/bad-words-prompt-list", data_files="en.txt", use_auth_token=True)
word_list = word_list_dataset["train"]['text']

def query(prompt, is_negative=False, steps=7, cfg_scale=7, seed=None, num_images=4):
    for filter in word_list:
        if re.search(rf"\b{filter}\b", prompt):
            raise gr.Error("Unsafe content found. Please try again with different prompts.")
    images = []
    
    for _ in range(num_images):
        payload = {
                "inputs": prompt + ", 8k",
                "is_negative": is_negative,
                "steps": steps,
                "cfg_scale": cfg_scale,
                "seed": seed if seed is not None else random.randint(-1, 2147483647)
            }
        
        image_bytes = requests.post(API_URL, headers=headers, json=payload).content
        image = Image.open(io.BytesIO(image_bytes))
        
        images.append(image)

    return images


css = """
        .gradio-container {
            font-family: 'IBM Plex Sans', sans-serif;
        }
        #gallery {
            min-height: 22rem;
            margin-bottom: 15px;
            margin-left: auto;
            margin-right: auto;
            border-bottom-right-radius: .5rem !important;
            border-bottom-left-radius: .5rem !important;
        }
        #gallery>div>.h-full {
            min-height: 20rem;
        }
"""

with gr.Blocks(css=css) as demo:
    gr.HTML(
        """
            <div style="text-align: center; margin: 0 auto;">
              <div
                style="
                  display: inline-flex;
                  align-items: center;
                  gap: 0.8rem;
                  font-size: 1.75rem;
                "
              >
                <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
                  Open Diffusion 1.0 Demo
                </h1>
              </div>
            </div>
        """
    )
    with gr.Group():
        with gr.Box():
            with gr.Row():
                with gr.Column():
                    gallery_output = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[2], height="auto")
            with gr.Row(elem_id="prompt-container"):
                with gr.Column():
                    text_prompt = gr.Textbox(show_label=False, placeholder="Enter your prompt", max_lines=1, elem_id="prompt-text-input")
                    negative_prompt = gr.Textbox(show_label=False, placeholder="Enter a negative", max_lines=1, elem_id="negative-prompt-text-input")
                    text_button = gr.Button("Generate").style(margin=False, rounded=(False, True, True, False), full_width=False)

        
        
    text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=gallery_output)

demo.launch(show_api=False)