Update app.py
Browse files
app.py
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import gradio as gr
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import requests
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import os
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# Функция для генерации изображения с помощью DALL-E 3 API
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def generate_image(prompt, seed, sampling_method, cfg, width, height):
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}
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response = requests.post("https://api.openai.com/v1/engines/dalle-3/images", headers=headers, json=data)
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if response.status_code == 200:
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else:
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return
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#
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css = """
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footer { display: none; }
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"""
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with gr.Blocks(css=css) as demo:
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with gr.Tabs():
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with gr.TabItem("Базовые настройки"):
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prompt_input = gr.Textbox(label="Введите текст для генерации изображения", lines=3, placeholder="Введите текст...")
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with gr.TabItem("Расширенные настройки"):
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seed_input = gr.Number(label="Сид", value=0)
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sampling_method_input = gr.Dropdown(label="Метод семплирования", choices=["Default", "DDIM", "PLMS"], value="Default")
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cfg_input = gr.Slider(label="CFG", minimum=1, maximum=20, value=7)
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width_input = gr.Number(label="Ширина", value=512)
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height_input = gr.Number(label="Высота", value=512)
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generate_button = gr.Button("Генерация", variant="primary")
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output_image = gr.Image()
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generate_button.click(
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generate_image,
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inputs=[prompt_input, seed_input, sampling_method_input, cfg_input, width_input, height_input],
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outputs=output_image,
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)
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demo.launch()
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import gradio as gr
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import requests
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import os
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from PIL import Image
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import io
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# Функция для генерации изображения с помощью DALL-E 3 API
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def generate_image(prompt, seed, sampling_method, cfg, width, height):
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}
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response = requests.post("https://api.openai.com/v1/engines/dalle-3/images", headers=headers, json=data)
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if response.status_code == 200:
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image_data = response.json()["data"][0]["url"]
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image_response = requests.get(image_data)
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image = Image.open(io.BytesIO(image_response.content))
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return image
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else:
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return None # Возвращаем None в случае ошибки
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# Остальная часть кода без изменений...
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