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| import os | |
| import uuid | |
| from io import BytesIO | |
| from PIL import Image | |
| import gradio as gr | |
| from google import genai | |
| from google.genai import types | |
| import logging | |
| # 設定logging | |
| logging.basicConfig( | |
| filename='app.log', | |
| level=logging.INFO, | |
| format='%(asctime)s - %(levelname)s - %(message)s' | |
| ) | |
| # 設定 Gemini API 金鑰 | |
| GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY") | |
| client = genai.Client(api_key=GEMINI_API_KEY) | |
| # 設定圖片儲存目錄 | |
| STATIC_IMAGE_PATH = "static/images" | |
| os.makedirs(STATIC_IMAGE_PATH, exist_ok=True) | |
| # 取得 Hugging Face Space 的主機名稱 | |
| SPACE_HOST = os.environ.get("SPACE_HOST", "your-space-name.hf.space") | |
| def generate_image(prompt): | |
| """ | |
| 使用 Gemini API 根據提示詞生成圖片,並返回圖片的公開 URL。 | |
| """ | |
| response = client.models.generate_content( | |
| model="gemini-2.0-flash-exp-image-generation", | |
| contents=prompt, | |
| config=types.GenerateContentConfig( | |
| response_modalities=["TEXT", "IMAGE"] | |
| ), | |
| ) | |
| # 處理回應中的圖片 | |
| for part in response.candidates[0].content.parts: | |
| if part.inline_data is not None: | |
| image = Image.open(BytesIO(part.inline_data.data)) | |
| filename = f"{uuid.uuid4().hex}.png" | |
| image_path = os.path.join(STATIC_IMAGE_PATH, filename) | |
| image.save(image_path) | |
| # 建立圖片的公開 URL | |
| image_url = f"https://{SPACE_HOST}/static/images/{filename}" | |
| logging.info(f"生成的圖片 URL: {image_url}") | |
| return image_url | |
| return "未能生成圖片,請嘗試其他提示詞。" | |
| # 建立 Gradio 介面 | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## 🖼️ Gemini 圖片生成器") | |
| prompt_input = gr.Textbox(label="輸入提示詞", placeholder="例如:一隻戴著墨鏡的貓在沙灘上") | |
| generate_button = gr.Button("生成圖片") | |
| image_output = gr.Image(label="生成的圖片") | |
| def on_generate(prompt): | |
| image_url = generate_image(prompt) | |
| return image_url | |
| generate_button.click(fn=on_generate, inputs=prompt_input, outputs=image_output) | |
| if __name__ == "__main__": | |
| demo.launch() | |