import gradio as gr import numpy as np import random from PIL import Image from io import BytesIO import os # Google Generative AIライブラリをインポート from google import genai from google.genai import types def infer( google_api_key, prompt, progress=gr.Progress(track_tqdm=True), ): # Google APIキーが入力されているかチェック if not google_api_key: raise gr.Error("Google API Key is required. Please enter your key.") try: # Clientの初期化時にAPIキーを渡す client = genai.Client(api_key=google_api_key) # プロンプトにシード情報を含めることで、再現性のヒントとする full_prompt = f"{prompt}" response = client.models.generate_content( model="gemini-2.5-flash-image-preview", contents=[full_prompt], ) # レスポンスから画像データを抽出 image_part = None for part in response.candidates[0].content.parts: if part.inline_data is not None: image_part = part break if image_part: image = Image.open(BytesIO(image_part.inline_data.data)) return image else: # テキスト部分があればエラーとして表示 text_response = "" for part in response.candidates[0].content.parts: if part.text is not None: text_response += part.text raise gr.Error(f"Image could not be generated. API Response: {text_response or 'No content found'}") except Exception as e: raise gr.Error(f"An error occurred during image generation: {e}") examples = [ "Create a picture of a nano banana dish in a fancy restaurant with a Gemini theme", "An astronaut riding a green horse in a photorealistic style", "A delicious ceviche cheesecake slice, studio lighting", ] css = """ #col-container { margin: 0 auto; max-width: 640px; } """ with gr.Blocks(css=css) as demo: with gr.Column(elem_id="col-container"): gr.Markdown(" # Text-to-Image with Google Gemini") google_api_key = gr.Textbox( label="Google API Key", placeholder="Enter your Google API Key here...", type="password", show_label=True, ) with gr.Row(): prompt = gr.Text( label="Prompt", show_label=False, max_lines=1, placeholder="Enter your prompt", container=False, ) run_button = gr.Button("Run", scale=0, variant="primary") result = gr.Image(label="Result", show_label=False) # --- Advanced Settingsを削除 --- gr.Examples(examples=examples, inputs=[prompt]) gr.on( triggers=[run_button.click, prompt.submit], fn=infer, inputs=[ google_api_key, prompt, ], outputs=[result], ) if __name__ == "__main__": demo.launch()