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Image Remix with Gemini API

\n Загрузите от 1 до 5 изображений и введите промпт для их смешивания\n или улучшения.\n

\n \n\n {error && (\n

\n Ошибка: {error}\n

\n )}\n\n {results && results.length > 0 && (\n

Результат:

\n {results.map((imgSrc, index) => (\n \n ))}\n

\n )}\n

Image Remix with Gemini API

\n Загрузите от 1 до 5 изображений и введите промпт для их смешивания\n или улучшения.\n

\n \n\n {error && (\n

\n Ошибка: {error}\n

\n )}\n\n {results && results.length > 0 && (\n

Результат:

\n {results.map((imgSrc, index) => (\n \n ))}\n

\n )}\n

\n \n \n );\n}\n\n// --- Основная логика обработчика запросов ---\n\nexport async function remixImageWebApp(request: Request): Promise {\n // Если это POST-запрос, обрабатываем форму\n if (request.method === \"POST\") {\n try {\n const apiKey = Deno.env.get(\"geminiApiKey\");\n if (!apiKey) {\n throw new Error(\n \"Секрет GEMINI_API_KEY не установлен в окружении Val Town.\",\n );\n }\n\n const formData = await request.formData();\n const files = formData.getAll(\"images\").filter((f) =>\n f instanceof File && f.size > 0\n ) as File[];\n let prompt = formData.get(\"prompt\") as string || \"\";\n\n // Валидация количества изображений\n if (files.length < 1 || files.length > 5) {\n const html = renderToString(\n ,\n );\n return new Response(html, { headers: { \"Content-Type\": \"text/html\" } });\n }\n\n // Логика промпта по умолчанию, как в оригинальном скрипте\n if (!prompt) {\n if (files.length === 1) {\n prompt =\n \"Преврати это изображение в студийный снимок профессионального качества с лучшим освещением и глубиной резкости.\";\n } else {\n prompt =\n \"Естественным образом объедини объекты с этих изображений, создав новое изображение.\";\n }\n }\n\n const genAI = new GoogleGenerativeAI(apiKey);\n const model = genAI.getGenerativeModel({ model: MODEL_NAME });\n\n const imageParts = await Promise.all(files.map(fileToGenerativePart));\n\n const result = await model.generateContent([...imageParts, prompt]);\n const response = result.response;\n\n const generatedImages = response.candidates[0].content.parts\n .filter((part) => part.inlineData)\n .map((part) =>\n `data:${part.inlineData.mimeType};base64,${part.inlineData.data}`\n );\n\n // Рендерим страницу с результатами\n const html = renderToString(\n ,\n );\n return new Response(html, { headers: { \"Content-Type\": \"text/html\" } });\n } catch (e) {\n console.error(e);\n const html = renderToString();\n return new Response(html, {\n status: 500,\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n }\n\n // Если это GET-запрос, просто показываем форму\n const html = renderToString();\n return new Response(html, { headers: { \"Content-Type\": \"text/html\" } 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Diff · v5