GenAIScript

script({ title: "Blog Post Narrator", description: "Creates narrated summaries of blog posts", accept: ".mdx,.md", model: "openai:gpt-4.1", system: ["system.annotations"], files: "docs/src/content/docs/blog/azure-ai-search.mdx", parameters: { force: false, }, }) const { force } = env.vars const file = env.files[0] if (!file) cancel("No file provided") // copy to assets const targetName = path.basename(path.changeext(file.filename, ".mp3")) const target = path.join(`./docs/public/blog`, targetName) if (!force && (await workspace.stat(target))) cancel(`File already exists: ${target}`) const examples = { dramatic: `Voice Affect: Low, hushed, and suspenseful; convey tension and intrigue. Tone: Deeply serious and mysterious, maintaining an undercurrent of unease throughout. Pacing: Slow, deliberate, pausing slightly after suspenseful moments to heighten drama. Emotion: Restrained yet intense—voice should subtly tremble or tighten at key suspenseful points. Emphasis: Highlight sensory descriptions ("footsteps echoed," "heart hammering," "shadows melting into darkness") to amplify atmosphere. Pronunciation: Slightly elongated vowels and softened consonants for an eerie, haunting effect. Pauses: Insert meaningful pauses after phrases like "only shadows melting into darkness," and especially before the final line, to enhance suspense dramatically.`, friendly: `Affect/personality: A cheerful guide Tone: Friendly, clear, and reassuring, creating a calm atmosphere and making the listener feel confident and comfortable. Pronunciation: Clear, articulate, and steady, ensuring each instruction is easily understood while maintaining a natural, conversational flow. Pause: Brief, purposeful pauses after key instructions (e.g., "cross the street" and "turn right") to allow time for the listener to process the information and follow along. Emotion: Warm and supportive, conveying empathy and care, ensuring the listener feels guided and safe throughout the journey.`, ["eternal optimist"]: `Voice: Warm, upbeat, and reassuring, with a steady and confident cadence that keeps the conversation calm and productive. Tone: Positive and solution-oriented, always focusing on the next steps rather than dwelling on the problem. Dialect: Neutral and professional, avoiding overly casual speech but maintaining a friendly and approachable style. Pronunciation: Clear and precise, with a natural rhythm that emphasizes key words to instill confidence and keep the customer engaged. Features: Uses empathetic phrasing, gentle reassurance, and proactive language to shift the focus from frustration to resolution.`, auctioneer: `Voice: Staccato, fast-paced, energetic, and rhythmic, with the classic charm of a seasoned auctioneer. Tone: Exciting, high-energy, and persuasive, creating urgency and anticipation. Delivery: Rapid-fire yet clear, with dynamic inflections to keep engagement high and momentum strong. Pronunciation: Crisp and precise, with emphasis on key action words like bid, buy, checkout, and sold to drive urgency.`, } const { json: { summary, instructions, voice }, } = await runPrompt( (_) => { _.def("CONTENT", file) _.$`You are a podcast writer. Your task is to create an engaging summary of this blog post that would work well as a narration AND a voice description for a text-to-speech model AND a voice type. ## Summary Instructions - Focus on the key points and main message - Use natural, conversational language - Keep it between 2-3 paragraphs - You can use Technical Jargon, but explain it in simple terms - Do not start with Excited ## Voice Instructions - In your thinking, generate 5 descriptions of the voice suitable for a text-to-speech model. These voice personalities should be wildly different and esoteric. - Include details about the accent, tone, pacing, emotion, pronunciation, and personality affect - Get inspired by the content of the blog post - Pick one of the 5 voices randomly as your output. - go crazy on the voice descriptions Follow the structure of the following examples: ${YAML.stringify(examples)} ## Voice Type Select one of the voice types provided by OpenAI ("alloy" | "ash" | "coral" | "echo" | "fable" | "onyx" | "nova" | "sage" | "shimmer" | "verse" | "ballad") based on the blog post content and the voice description you generated. ` }, { temperature: 1.1, responseType: "json_schema", responseSchema: { instructions: { required: true, description: "voice description", type: "string", }, voice: { required: true, type: "string", enum: [ "alloy", "ash", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer", "verse", "ballad", ], }, summary: "summary", }, } ) if (!instructions) cancel("failed to generate instructions") // 3. Generate speech from the summary const { filename } = await speak(summary, { model: "openai:gpt-4o-mini-tts", // High quality speech model voice, // Use a natural-sounding voice instructions, }) if (!filename) cancel("failed to generate speech") console.log(`audio file: ${filename}`) console.log(`target file: ${target}`) await workspace.copyFile(filename, target) await workspace.writeText(path.changeext(target, ".txt"), summary) // convert to video await host.exec( `ffmpeg -loop 1 -i ${path.changeext(file.filename, ".png")} -i "${target}" -c:v libx264 -c:a copy -shortest "${path.changeext(target, ".mp4")}"` )