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| import json | |
| import time | |
| import requests | |
| import base64 | |
| from io import BytesIO | |
| from PIL import Image | |
| import gradio as gr | |
| import os | |
| api_key = os.getenv("api_key") | |
| secret_key = os.getenv("secret_key") | |
| class Text2ImageAPI: | |
| def __init__(self, url, api_key, secret_key): | |
| self.URL = url | |
| self.AUTH_HEADERS = { | |
| 'X-Key': f'Key {api_key}', | |
| 'X-Secret': f'Secret {secret_key}', | |
| } | |
| def get_model(self): | |
| response = requests.get(self.URL + 'key/api/v1/models', headers=self.AUTH_HEADERS) | |
| data = response.json() | |
| return data[0]['id'] | |
| def generate(self, prompt, width, height, model): | |
| params = { | |
| "type": "GENERATE", | |
| "numImages": 1, | |
| "width": width, | |
| "height": height, | |
| "censored": True, | |
| "generateParams": { | |
| "query": f"{prompt}" | |
| } | |
| } | |
| data = { | |
| 'model_id': (None, model), | |
| 'params': (None, json.dumps(params), 'application/json') | |
| } | |
| response = requests.post(self.URL + 'key/api/v1/text2image/run', headers=self.AUTH_HEADERS, files=data) | |
| data = response.json() | |
| return data['uuid'] | |
| def check_generation(self, request_id, attempts=10, delay=10): | |
| while attempts > 0: | |
| response = requests.get(self.URL + 'key/api/v1/text2image/status/' + request_id, headers=self.AUTH_HEADERS) | |
| data = response.json() | |
| if data['status'] == 'DONE': | |
| return data['images'] | |
| attempts -= 1 | |
| time.sleep(delay) | |
| def api_gradio(prompt, width, height): | |
| api = Text2ImageAPI('https://api-key.fusionbrain.ai/', api_key, secret_key) | |
| model_id = api.get_model() | |
| uuid = api.generate(prompt, width, height, model_id) | |
| images = api.check_generation(uuid) | |
| decoded_data = base64.b64decode(images[0]) | |
| image = Image.open(BytesIO(decoded_data)) | |
| return [image] | |
| css = """ | |
| footer { | |
| visibility: hidden | |
| } | |
| #generate_button { | |
| color: white; | |
| border-color: #007bff; | |
| background: #2563eb; | |
| } | |
| #save_button { | |
| color: white; | |
| border-color: #028b40; | |
| background: #01b97c; | |
| width: 200px; | |
| } | |
| #settings_header { | |
| background: rgb(245, 105, 105); | |
| } | |
| """ | |
| with gr.Blocks(css=css) as demo: | |
| gr.Markdown("# Kandinsky ```API DEMO```") | |
| with gr.Row(): | |
| prompt = gr.Textbox(show_label=False, placeholder="Enter your prompt", max_lines=3, lines=1, interactive=True, scale=20) | |
| button = gr.Button(value="Generate", scale=1) | |
| with gr.Accordion("Advanced options", open=False): | |
| with gr.Row(): | |
| width = gr.Slider(label="Width", minimum=888, maximum=1024, step=1, value=888, interactive=True) | |
| height = gr.Slider(label="Height", minimum=888, maximum=1024, step=1, value=888, interactive=True) | |
| with gr.Row(): | |
| gallery = gr.Gallery(show_label=False, rows=1, columns=1, allow_preview=True, preview=True) | |
| button.click(api_gradio, inputs=[prompt, width, height], outputs=gallery) | |
| demo.queue().launch(show_api=False) | |