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@jsxImportSource npm:hono@3/jsx */\nimport { unkey, type UnkeyContext } from \"npm:@unkey/hono\";\nimport { Hono } from \"npm:hono\";\n\nimport {\n createBedtimeStory,\n getBedtimeStoryById,\n getRecentBedtimeStories,\n} from \"https://esm.town/v/dthyresson/bedtimeStoriesDb\";\nimport type { BedtimeStory } from \"https://esm.town/v/dthyresson/bedtimeStoriesDb\";\nimport { getSortedActivities } from \"https://esm.town/v/dthyresson/bedtimeStoryActivities\";\nimport { getSortedAdjectives } from \"https://esm.town/v/dthyresson/bedtimeStoryAdjectives\";\nimport { getSortedAnimals } from \"https://esm.town/v/dthyresson/bedtimeStoryAnimals\";\nimport { getSortedColors } from \"https://esm.town/v/dthyresson/bedtimeStoryColors\";\nimport { generateOpenGraphTags, OpenGraphData } from \"https://esm.town/v/dthyresson/generateOpenGraphTags\";\nimport { ValTownLink } from \"https://esm.town/v/dthyresson/viewOnValTownComponent\";\nimport { chat } from \"https://esm.town/v/stevekrouse/openai\";\nimport * as fal from \"npm:@fal-ai/serverless-client\";\n\nexport const falConfig = () => {\n fal.config({\n // Can also be auto-configured using environment variables:\n credentials: Deno.env.get(\"FAL_KEY\"),\n });\n\n return fal;\n};\n\nconst app = new Hono<{ Variables: { unkey: UnkeyContext } }>();\n\n// app.use(\n// \"*\",\n// unkey({\n// apiId: \"rlns_2AMjVgwwMksmssLVb56LVmkpB56C\",\n// }),\n// );\n\nfunction parseStory(text) {\n // Split the text into lines and remove empty lines\n const lines = text.split(\"\\n\").filter(line => line.trim() !== \"\");\n\n // Extract the title (first line), remove quotes, markdown and trim\n const title = lines[0]\n .replace(/^\"|\"$/g, \"\")\n .replace(/\\*\\*|\\*/g, \"\")\n .replace(/\\#\\#|\\#/g, \"\")\n .trim();\n\n // Extract the summary (second line) and trim\n const summary = lines[1]\n .replace(/^\"|\"$/g, \"\")\n .replace(/\\*\\*|\\*/g, \"\")\n .replace(/\\#\\#|\\#/g, \"\")\n .trim();\n\n // Join the rest of the lines as the story, replace '\\n' with actual newlines\n const story = lines.slice(2).join(\"\\n\").replace(/\\\\n/g, \"\\n\").trim();\n\n // Return the JSON object\n return {\n title,\n summary,\n story,\n };\n}\n\nexport const generateBedtimeStory = async (options: BedtimeStory | null): BedtimeStory => {\n const { adjective = \"funny\", color = \"pink\", animal = \"penguin\", activity = \"flies a kite\" } = options;\n\n const { content } = await chat(\n [\n {\n role: \"system\",\n content: `Write a ${adjective} bedtime story about a ${color} colored ${animal} that ${activity}. \n \n The story should have a title, be suitable for young children, give the animal a friendly name and be no longer than 300 words.\n \n Return the title on the first line, on the second line a one sentence summary of this story, and then the story.\n\n If the story mentions other animals, include them in the summary.\n `,\n },\n ],\n { max_tokens: 1_000, model: \"gpt-4o-mini\" },\n );\n\n console.log(content);\n const parsedContent = parseStory(content);\n\n const story = { ...options, ...parsedContent };\n const pictureUrl = await generateBedtimeStoryPictureUrl(story);\n\n return { ...story, pictureUrl };\n};\n\nexport const generateBedtimeStoryPictureUrl = async (bedtimeStory) => {\n const fal = falConfig();\n\n const { adjective, animal, color, summary } = bedtimeStory;\n\n const { content } = await chat(\n [\n {\n role: \"system\",\n content:\n `Describe an image that depicts the ${adjective} children's story about a ${color} colored ${animal}: ${summary}.\n The description should be descriptive, but three short sentences.\n Just give me the instructions, don't make an image.`,\n },\n ],\n { max_tokens: 300, model: \"gpt-4o-mini\" },\n );\n\n console.log(\"fal prompt\", content);\n\n const prompt = `\n Illustrate: \"${content}\". in ${adjective} style. paint the ${animal} the color ${color}.\n `;\n\n const falModel = \"flux/schnell\";\n // \"flux/schnell\";\n // \"aura-flow\";\n // fast-lightning-sdxl\n const options = {\n \"image_size\": \"square\",\n \"num_images\": 1,\n \"num_inference_steps\": 6,\n \"enable_safety_checker\": true,\n };\n // {\"num_images\": 1,\n // \"guidance_scale\": 9.5,\n // \"num_inference_steps\": 20,\n // \"expand_prompt\": true }\n const result: any = await fal.run(`fal-ai/${falModel}`, { input: { prompt }, options });\n const url = result.images[0].url;\n\n return url;\n};\n\nconst HeadComponent = ({ title, ogData, children }) => {\n const og: OpenGraphData = {\n title: ogData?.title || \"Bedtime Story Maker\",\n description: ogData?.description || \"\",\n image: ogData?.image || \"\",\n url: ogData?.url || `https://dthyresson-bedtimestorymaker.web.val.run/bedtime_stories}`,\n };\n\n const ogTags = generateOpenGraphTags(og);\n\n return (\n \n \n \n Bedtime Story Maker: {title}\n \n

\n {children}\n \n );\n};\n\nconst ContainerComponent = ({ children }) => {\n return (\n

\n 📒 Bedtime Story Maker\n \n

\n {children}\n \n

\n );\n};\n\nconst Heading1Component = ({ children }) => {\n return (\n

\n {children}\n

\n );\n};\n\nconst Heading2Component = ({ children }) => {\n return (\n

\n {children}\n

\n );\n};\n\nconst LinkComponent = ({ href, extraStyles, children }) => {\n return (\n \n {children}\n \n );\n};\n\nconst LoadingComponent = ({ caption }) => {\n return (\n

{caption || \"Loading\"}

\n );\n};\n\n// Routes\napp.get(\"/\", (c) => c.redirect(\"/bedtime_stories\"));\n\napp.get(\"/bedtime_stories\", async (c) => {\n const stories = await getRecentBedtimeStories();\n return c.html(\n \n \n \n \n \n

\n
\n \n \n \n
\n
\n \n
{story.title}
\n \n
{story.summary}
\n
\n
\n \n Another!\n \n
\n

\n \n \n \n ,\n );\n});\n\napp.get(\"/bedtime_stories/new\", (c) => {\n return c.html(\n \n \n \n \n What kind of story do you want to hear?\n

\n \n {adj.emoji} {adj.name}\n \n

\n \n \n ,\n );\n});\n\nconst starters = [\n \"Okay\",\n \"Sure\",\n \"Alright\",\n \"Indeed\",\n \"Nice\",\n \"Gotcha\",\n];\n\nconst randomStarter = starters[Math.floor(Math.random() * starters.length)];\n\napp.get(\"/bedtime_stories/new/:adjective\", (c) => {\n const { adjective } = c.req.param();\n\n return c.html(\n \n \n \n \n {randomStarter}! I'll tell a {adjective} story about an animal.\n What animal do you want?\n

\n \n {animal.emoji} {animal.name}\n \n

\n \n \n ,\n );\n});\n\napp.get(\"/bedtime_stories/new/:adjective/:animal\", (c) => {\n const { adjective, animal } = c.req.param();\n\n return c.html(\n \n \n \n \n \n {randomStarter}! Your {animal} stars your {adjective} story.\n \n What color should should your {animal} be?\n

\n \n \n

\n {color.name}\n \n \n ))}\n \n \n \n ,\n );\n});\n\napp.get(\"/bedtime_stories/new/:adjective/:animal/:color\", (c) => {\n const { adjective, animal, color } = c.req.param();\n\n return c.html(\n \n \n \n \n \n {randomStarter}. Let's finish your {adjective} story.\n \n What should your {color} {animal} do?\n

\n \n {activity.emoji} {activity.name}\n \n

\n \n \n ,\n );\n});\n\napp.get(\n \"/bedtime_stories/create/:adjective/:animal/:color/:activity\",\n async (c) => {\n const { adjective, color, animal, activity } = c.req.param();\n\n const options = { adjective, color, animal, activity };\n\n // const generatedStory = await generateBedtimeStory(options);\n // console.log(\"generated story\", generatedStory);\n // const bedtimeStory = await createBedtimeStory(generatedStory);\n\n return c.html(\n \n \n \n \n \n \n \n \n \n ,\n );\n },\n);\n\napp.get(\n \"/bedtime_stories/generate/:adjective/:animal/:color/:activity\",\n async (c) => {\n const { adjective, color, animal, activity } = c.req.param();\n\n const options = { adjective, color, animal, activity };\n\n const generatedStory = await generateBedtimeStory(options);\n console.log(\"generated story\", generatedStory);\n const bedtimeStory = await createBedtimeStory(generatedStory);\n\n return c.redirect(`/bedtime_stories/read/${bedtimeStory.id}`);\n },\n);\n\napp.get(\n \"/bedtime_stories/read/:id\",\n async (c) => {\n const { id } = c.req.param();\n\n const bedtimeStory = await getBedtimeStoryById(id);\n\n console.log(\"saved story\", bedtimeStory);\n\n const { adjective, color, animal, activity, title, summary, story, pictureUrl } = bedtimeStory;\n\n const ogData: OpenGraphData = {\n title,\n description: summary,\n image: pictureUrl,\n url: `https://dthyresson-bedtimestorymaker.web.val.run/bedtime_stories/read/${id}`,\n };\n\n return c.html(\n \n \n \n \n

\n {title}\n {summary}\n

\n \n\n

\n \n

\n {story.split(/(?<=[.!?])\\s+(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)/).map((sentence, index) => (\n \n {sentence}\n

\n ))}\n

\n \n \n ,\n );\n },\n);\n\nexport default app.fetch;","/** @jsxImportSource npm:hono@3/jsx */\nimport { unkey, type UnkeyContext } from \"npm:@unkey/hono\";\nimport { Hono } from \"npm:hono\";\n\nimport {\n createBedtimeStory,\n getBedtimeStoryById,\n getRecentBedtimeStories,\n} from \"https://esm.town/v/dthyresson/bedtimeStoriesDb\";\nimport type { BedtimeStory } from \"https://esm.town/v/dthyresson/bedtimeStoriesDb\";\nimport { getSortedActivities } from \"https://esm.town/v/dthyresson/bedtimeStoryActivities\";\nimport { getSortedAdjectives } from \"https://esm.town/v/dthyresson/bedtimeStoryAdjectives\";\nimport { getSortedAnimals } from \"https://esm.town/v/dthyresson/bedtimeStoryAnimals\";\nimport { getSortedColors } from \"https://esm.town/v/dthyresson/bedtimeStoryColors\";\nimport { generateOpenGraphTags, OpenGraphData } from \"https://esm.town/v/dthyresson/generateOpenGraphTags\";\nimport { ValTownLink } from \"https://esm.town/v/dthyresson/viewOnValTownComponent\";\nimport { chat } from \"https://esm.town/v/stevekrouse/openai\";\nimport * as fal from \"npm:@fal-ai/serverless-client\";\n\nexport const falConfig = () => {\n fal.config({\n // Can also be auto-configured using environment variables:\n credentials: Deno.env.get(\"FAL_KEY\"),\n });\n\n return fal;\n};\n\nconst app = new Hono<{ Variables: { unkey: UnkeyContext } }>();\n\n// app.use(\n// \"*\",\n// unkey({\n// apiId: \"rlns_2AMjVgwwMksmssLVb56LVmkpB56C\",\n// }),\n// );\n\nfunction parseStory(text) {\n // Split the text into lines and remove empty lines\n const lines = text.split(\"\\n\").filter(line => line.trim() !== \"\");\n\n // Extract the title (first line), remove quotes, markdown and trim\n const title = lines[0]\n .replace(/^\"|\"$/g, \"\")\n .replace(/\\*\\*|\\*/g, \"\")\n .replace(/\\#\\#|\\#/g, \"\")\n .trim();\n\n // Extract the summary (second line) and trim\n const summary = lines[1]\n .replace(/^\"|\"$/g, \"\")\n .replace(/\\*\\*|\\*/g, \"\")\n .replace(/\\#\\#|\\#/g, \"\")\n .trim();\n\n // Join the rest of the lines as the story, replace '\\n' with actual newlines\n const story = lines.slice(2).join(\"\\n\").replace(/\\\\n/g, \"\\n\").trim();\n\n // Return the JSON object\n return {\n title,\n summary,\n story,\n };\n}\n\nexport const generateBedtimeStory = async (options: BedtimeStory | null): BedtimeStory => {\n const { adjective = \"funny\", color = \"pink\", animal = \"penguin\", activity = \"flies a kite\" } = options;\n\n const { content } = await chat(\n [\n {\n role: \"system\",\n content: `Write a ${adjective} bedtime story about a ${color} colored ${animal} that ${activity}. \n \n The story should have a title, be suitable for young children, give the animal a friendly name and be no longer than 300 words.\n \n Return the title on the first line, on the second line a one sentence summary of this story, and then the story.\n\n If the story mentions other animals, include them in the summary.\n `,\n },\n ],\n { max_tokens: 1_000, model: \"gpt-4o-mini\" },\n );\n\n console.log(content);\n const parsedContent = parseStory(content);\n\n const story = { ...options, ...parsedContent };\n const pictureUrl = await generateBedtimeStoryPictureUrl(story);\n\n return { ...story, pictureUrl };\n};\n\nexport const generateBedtimeStoryPictureUrl = async (bedtimeStory) => {\n const fal = falConfig();\n\n const { adjective, animal, color, summary } = bedtimeStory;\n\n const { content } = await chat(\n [\n {\n role: \"system\",\n content:\n `Describe an image that depicts the ${adjective} children's story about a ${color} colored ${animal}: ${summary}.\n The description should be descriptive, but three short sentences.\n Just give me the instructions, don't make an image.`,\n },\n ],\n { max_tokens: 300, model: \"gpt-4o-mini\" },\n );\n\n console.log(\"fal prompt\", content);\n\n const prompt = `\n Illustrate: \"${content}\". in ${adjective} style. paint the ${animal} the color ${color}.\n `;\n\n const falModel = \"flux/schnell\";\n // \"flux/schnell\";\n // \"aura-flow\";\n // fast-lightning-sdxl\n const options = {\n \"image_size\": \"square\",\n \"num_images\": 1,\n \"num_inference_steps\": 6,\n \"enable_safety_checker\": true,\n };\n // {\"num_images\": 1,\n // \"guidance_scale\": 9.5,\n // \"num_inference_steps\": 20,\n // \"expand_prompt\": true }\n const result: any = await fal.run(`fal-ai/${falModel}`, { input: { prompt }, options });\n const url = result.images[0].url;\n\n return url;\n};\n\nconst HeadComponent = ({ title, ogData, children }) => {\n const og: OpenGraphData = {\n title: ogData?.title || \"Bedtime Story Maker\",\n description: ogData?.description || \"\",\n image: ogData?.image || \"\",\n url: ogData?.url || `https://dthyresson-bedtimestorymaker.web.val.run/bedtime_stories}`,\n };\n\n const ogTags = generateOpenGraphTags(og);\n\n return (\n \n \n \n Bedtime Story Maker: {title}\n \n

\n {children}\n \n );\n};\n\nconst ContainerComponent = ({ children }) => {\n return (\n

\n 📒 Bedtime Story Maker\n \n

\n {children}\n \n

\n );\n};\n\nconst Heading1Component = ({ children }) => {\n return (\n

\n {children}\n

\n );\n};\n\nconst Heading2Component = ({ children }) => {\n return (\n

\n {children}\n

\n );\n};\n\nconst LinkComponent = ({ href, extraStyles, children }) => {\n return (\n \n {children}\n \n );\n};\n\nconst LoadingComponent = ({ caption }) => {\n return (\n

{caption || \"Loading\"}

\n
\n \n \n \n
\n
\n \n
{story.title}
\n \n
{story.summary}
\n
\n
\n \n Another!\n \n
\n

\n \n \n \n ,\n );\n});\n\napp.get(\"/bedtime_stories/new\", (c) => {\n return c.html(\n \n \n \n \n What kind of story do you want to hear?\n

\n \n {adj.emoji} {adj.name}\n \n

\n \n {animal.emoji} {animal.name}\n \n

\n \n \n

\n \n {activity.emoji} {activity.name}\n \n

\n {title}\n {summary}\n

\n \n\n

\n \n

\n {story.split(/(?<=[.!?])\\s+(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)/).map((sentence, index) => (\n \n {sentence}\n

\n ))}\n

\n \n \n ,\n );\n },\n);\n\nexport default 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Bedtime Story Maker\n\n\n![image.png](https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/8eaea732-a794-4811-3521-594b6915fa00/public)\n\nInspired from a RedwoodJS demo I mde last year, this adds generative art powered by Fal to the bedtime story maker.\n\nStart writing a story by picking \n\n* a style (spooky, colofrol, adventurous\n* an animal (penguin, mouse, unicorn, whale ...)\n* a color for the animal\n* and activity (befriends aliens, goes to the doctor, rides a rollercoaster, bakes a cake for friends)\n\nIt uses OpenAI to write a children's bedtime story\n\n* title\n* summary\n* story\n\nfor a \"fantastical story about a green whale who rides the bus\" or the \"spooky story about the tomato fox who explores a cave\".\n\nThen using the summary, OpenAI geenrates another prompt to describe the instructions to geneate a childrens story book image.\n\nThat's sent to Fal to generate an image.\n\nStories get saved to `bedtime_stories` in SQLite for viewing, searching and maybe sharing.\n\nYou then get a bedtime story to enjoy!\n\n\n\n\n",[135],"pulls","branches","forks","envVars",{"_147":61,"_149":61},"connections",{"_147":61,"_148":61},"count","unfilledCount","emptyCount",{"_43":134,"_32":135,"_30":136,"_128":-5,"_41":42,"_40":131,"_129":49,"_38":156,"_13":61,"_33":20,"_35":138,"_24":25,"_132":-5,"_153":157,"_27":158},{"_43":127,"_32":28,"_30":31,"_128":-5,"_41":42,"_40":14,"_129":25,"_38":152,"_13":131,"_33":34,"_35":37,"_24":25,"_132":-5,"_153":154,"_27":155},["D",1737469591107],"children",[],[28],["D",1737469513382],[],[135],["D",1745940234875],{"_95":94,"_102":98},{"_95":94,"_96":-5,"_97":98,"_18":55,"_99":100,"_101":25},{"_13":84,"_32":85,"_43":42,"_86":44,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":45,"_93":94},"ctx",{"_77":-5,"_122":196,"_197":198,"_199":200,"_201":25,"_202":25,"_203":25,"_204":49,"_205":-5,"_206":-7,"_207":-7,"_208":61,"_209":25,"_210":25,"_211":-5,"_212":25,"_213":25,"_214":25,"_215":-5},"ENV",{"_167":168,"_169":170,"_171":85,"_172":173,"_174":175,"_176":177,"_178":179,"_180":181,"_182":183,"_184":185,"_186":187,"_188":189,"_190":191,"_192":193,"_194":195},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v2