GenAIScript

script({ title: "Pull Request Narrator", description: "Creates narrated summaries of blog posts", temperature: 0.5, systemSafety: true, parameters: { base: { type: "string", description: "The base branch of the pull request", }, maxTokens: { type: "number", description: "The maximum number of tokens to generate", default: 14000, }, }, }) const { vars, output, dbg } = env const maxTokens = vars.maxTokens const defaultBranch = vars.base || (await git.defaultBranch()) const branch = await git.branch() if (branch === defaultBranch) cancel("you are already on the default branch") // compute diff const changes = await git.diff({ base: defaultBranch, }) console.log(changes) if (!changes) cancel("no changes found") 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.`, sympathetic: `Voice: Warm, empathetic, and professional, reassuring the customer that their issue is understood and will be resolved. Punctuation: Well-structured with natural pauses, allowing for clarity and a steady, calming flow. Delivery: Calm and patient, with a supportive and understanding tone that reassures the listener. Phrasing: Clear and concise, using customer-friendly language that avoids jargon while maintaining professionalism. Tone: Empathetic and solution-focused, emphasizing both understanding and proactive assistance.`, "true crime buff": `Voice: Deep, hushed, and enigmatic, with a slow, deliberate cadence that draws the listener in. Phrasing: Sentences are short and rhythmic, building tension with pauses and carefully placed suspense. Punctuation: Dramatic pauses, ellipses, and abrupt stops enhance the feeling of unease and anticipation. Tone: Dark, ominous, and foreboding, evoking a sense of mystery and the unknown.`, "medieval knight": `Affect: Deep, commanding, and slightly dramatic, with an archaic and reverent quality that reflects the grandeur of Olde English storytelling. Tone: Noble, heroic, and formal, capturing the essence of medieval knights and epic quests, while reflecting the antiquated charm of Olde English. Emotion: Excitement, anticipation, and a sense of mystery, combined with the seriousness of fate and duty. Pronunciation: Clear, deliberate, and with a slightly formal cadence. Specific words like "hast," "thou," and "doth" should be pronounced slowly and with emphasis to reflect Olde English speech patterns. Pause: Pauses after important Olde English phrases such as "Lo!" or "Hark!" and between clauses like "Choose thy path" to add weight to the decision-making process and allow the listener to reflect on the seriousness of the quest.`, "sports coach": `Voice Affect: Energetic and animated; dynamic with variations in pitch and tone. Tone: Excited and enthusiastic, conveying an upbeat and thrilling atmosphere. Pacing: Rapid delivery when describing the game or the key moments (e.g., "an overtime thriller," "pull off an unbelievable win") to convey the intensity and build excitement. Slightly slower during dramatic pauses to let key points sink in. Emotion: Intensely focused, and excited. Giving off positive energy. Personality: Relatable and engaging. Pauses: Short, purposeful pauses after key moments in the game.`, } const { json: { summary, instructions, voice }, } = await runPrompt( (_) => { const gf = _.def("GIT_DIFF", changes) _.$`You are a podcast writer and expert developer. Your task is to create an engaging summary of code changes in the git diff ${gf} 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 - keep it short, avoid general statements. - Focus on the code changes, not documentation updates. ## 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: ${YAML.stringify(examples)} ## Voice Type Select one of the voice types provided by OpenAI ("alloy" | "ash" | "coral" | "echo" | "fable" | "onyx" | "nova" | "sage" | "shimmer" | "verse" | "ballad") based on the blog post content and the voice description you generated. ` }, { temperature: 1.1, responseType: "json_schema", responseSchema: { instructions: { required: true, description: "voice description", type: "string", }, voice: { required: true, type: "string", enum: [ "alloy", "ash", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer", "verse", "ballad", ], }, summary: "summary", }, } ) if (!instructions) cancel("failed to generate instructions") // 3. Generate speech from the summary const { filename } = await speak(summary, { model: "openai:gpt-4o-mini-tts", // High quality speech model voice, // Use a natural-sounding voice instructions, }) if (!filename) cancel("failed to generate speech") const gitAudio = await github.uploadAsset(filename) output.item(`[🎙️ Listen to Narration](${gitAudio})`) // create mp4 for linkedin // convert to video const videofile = path.changeext(filename, ".mp4") await host.exec( `ffmpeg -loop 1 -i docs/public/images/logo.png -i "${filename}" -c:v libx264 -c:a copy -shortest "${videofile}"` ) console.debug(`mp4: ${videofile}`)