import gradio as gr import requests import os from PIL import Image from io import BytesIO from tqdm import tqdm import time # Definindo as informações do repositório e a trigger word repo = "artificialguybr/StudioGhibli.Redmond-V2" trigger_word = "Studio Ghibli, StdGBRedmAF" def generate_image(prompt): api_url = f"https://api-inference.huggingface.co/models/{repo}" # Descomente e use seu token da API do Hugging Face # token = os.getenv("API_TOKEN") headers = { # "Authorization": f"Bearer {token}" } full_prompt = f"{prompt} {trigger_word}" payload = { "inputs": full_prompt, "parameters": { "negative_prompt": "bad art, ugly, watermark, deformed", "num_inference_steps": 30, "scheduler": "DPMSolverMultistepScheduler" }, } error_count = 0 pbar = tqdm(total=None, desc="Loading model") while True: response = requests.post(api_url, headers=headers, json=payload) if response.status_code == 200: return Image.open(BytesIO(response.content)) elif response.status_code == 503: time.sleep(1) pbar.update(1) elif response.status_code == 500 and error_count < 5: time.sleep(1) error_count += 1 else: raise Exception(f"API Error: {response.status_code}") css = """ body { font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: #f0f0f0; } h1 { color: #333; text-align: center; } h2 { color: #555; } .gradio-container { max-width: 800px; margin: auto; padding: 20px; border-radius: 10px; background-color: #fff; box-shadow: 0 0 10px rgba(0,0,0,0.1); } .gradio-input, .gradio-output { margin-bottom: 20px; } .gradio-button { background-color: #4CAF50; color: white; padding: 14px 20px; margin: 10px 0; border: none; border-radius: 4px; cursor: pointer; } .gradio-button:hover { background-color: #45a049; } """ iface = gr.Interface( fn=generate_image, inputs=gr.Textbox(lines=2, placeholder="Enter a Studio Ghibli style prompt..."), outputs="image", title="Studio Ghibli Style Image Generator", description="Type a prompt and generate an image with the enchanting Studio Ghibli aesthetic.", css=css ) iface.launch()