Transcript Processor

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Upload Transcript

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Stored Transcripts

\n\n \n\n",[],[192],{"_104":200,"_95":201,"_154":202,"_156":-5,"_157":139,"_158":203,"_160":22,"_106":204,"_100":32,"_162":177,"_164":205,"_166":22,"_167":206,"_168":207,"_98":208},"604cb5a8-79de-11f0-a2d3-0224a6c84d84","main.ts","604cb698-79de-11f0-a2d3-0224a6c84d84",5,["D",1755265645267],"import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport { uploadTranscript, getTranscripts, deleteTranscript } from \"./database.ts\";\nimport { generateBlogPost, generateNewsletter } from \"./openai.ts\";\nimport { createBeehiivDraft } from \"./beehiiv.ts\";\n\nconst app = new Hono();\n\napp.onError((err) => Promise.reject(err));\n\napp.get(\"/\", c => serveFile(\"/index.html\", import.meta.url));\n\napp.post(\"/upload\", async c => {\n const form = await c.req.formData();\n const file = form.get(\"transcript\") as File;\n const content = await file.text();\n \n const id = await uploadTranscript(file.name, content);\n return c.json({ success: true, id });\n});\n\napp.get(\"/transcripts\", async c => {\n const transcripts = await getTranscripts();\n return c.json(transcripts);\n});\n\napp.delete(\"/transcript/:id\", async c => {\n const id = c.req.param(\"id\");\n await deleteTranscript(id);\n return c.json({ success: true });\n});\n\napp.post(\"/generate/blog\", async c => {\n const { transcriptId } = await c.req.json();\n const transcripts = await getTranscripts();\n const transcript = transcripts.find(t => t.id === transcriptId);\n \n const blogPost = await generateBlogPost(transcript.content);\n await createBeehiivDraft(\"blog\", blogPost.title, blogPost.content);\n \n return c.json({ success: true, content: blogPost });\n});\n\napp.post(\"/generate/newsletter\", async c => {\n const { transcriptId } = await c.req.json();\n const transcripts = await getTranscripts();\n const transcript = transcripts.find(t => t.id === transcriptId);\n \n const newsletter = await generateNewsletter(transcript.content);\n await createBeehiivDraft(\"newsletter\", newsletter.subject, newsletter.content);\n \n return c.json({ success: true, content: newsletter });\n});\n\nexport default app.fetch;","transcript-processor",[],[201],{"_104":210,"_95":99,"_154":211,"_156":-5,"_157":139,"_158":212,"_160":22,"_106":213,"_100":32,"_162":177,"_164":72,"_166":22,"_167":-5,"_168":214,"_98":215},"29c8f9ac-7938-11f0-ab1e-0224a6c84d84","29c8fa6a-7938-11f0-ab1e-0224a6c84d84",1,["D",1755194257458],[],[99],{"_104":217,"_95":218,"_154":219,"_156":-5,"_157":139,"_158":101,"_160":22,"_106":220,"_100":32,"_162":177,"_164":221,"_166":22,"_167":-5,"_168":222,"_98":223},"606c5fd4-79de-11f0-8af7-0224a6c84d84","openai.ts","606c609c-79de-11f0-8af7-0224a6c84d84",["D",1755265645265],"import { OpenAI } from \"https://esm.town/v/std/openai\";\n\nconst openai = new OpenAI();\n\nexport interface BlogPost {\n title: string;\n content: string;\n}\n\nexport interface Newsletter {\n subject: string;\n content: string;\n}\n\nexport async function generateBlogPost(transcript: string): Promise {\n const completion = await openai.chat.completions.create({\n messages: [{\n role: \"user\", \n content: `Transform this transcript into a compelling blog post. Include a catchy title and well-structured content with headers, key insights, and actionable takeaways. Make it engaging and SEO-friendly:\n\n${transcript}`\n }],\n model: \"gpt-4o-mini\",\n max_tokens: 2000,\n });\n\n const result = completion.choices[0].message.content;\n const lines = result.split('\\n').filter(line => line.trim());\n \n return {\n title: lines[0].replace(/^#+\\s*/, ''),\n content: result\n };\n}\n\nexport async function generateNewsletter(transcript: string): Promise {\n const completion = await openai.chat.completions.create({\n messages: [{\n role: \"user\",\n content: `Create a newsletter from this transcript. Make it punchy, engaging, and optimized for email. Include a compelling subject line and content with bullet points, key quotes, and a strong call-to-action:\n\n${transcript}`\n }],\n model: \"gpt-4o-mini\", \n max_tokens: 1500,\n });\n\n const result = completion.choices[0].message.content;\n const lines = result.split('\\n').filter(line => line.trim());\n \n return {\n subject: lines[0].replace(/^Subject:\\s*/i, ''),\n content: result\n };\n}",[],[218],"files",[151,171,181,190,199,209,216],"counts",{"_228":32,"_229":212,"_230":32,"_231":232},"pulls","branches","forks","envVars",{"_233":32,"_234":32},"count","emptyCount","contents",[],{"_104":210,"_95":99,"_154":211,"_156":-5,"_157":139,"_158":212,"_160":22,"_106":238,"_100":32,"_162":177,"_164":72,"_166":22,"_167":-5,"_98":239},["D",1755194257458],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_93":94,"_95":96,"_97":43,"_100":101,"_98":99,"_102":248,"_149":253,"_224":275,"_163":276,"_235":278,"_279":-5,"_280":22,"_281":-5,"_282":-5,"_283":-5,"_284":285},{"_104":105,"_95":96,"_106":249,"_108":-5,"_109":22,"_110":111,"_112":113,"_114":72,"_14":115,"_116":-5,"_117":22,"_118":-5,"_119":32,"_16":120,"_121":122,"_123":122,"_124":125,"_126":125,"_127":125,"_128":122,"_129":122,"_23":250,"_133":251,"_136":252,"_148":22},["D",1755194257445],{"_93":94,"_131":132},{"_93":94,"_135":132},{"_100":138,"_95":43,"_104":139,"_140":105,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":-5,"_146":96,"_147":94},[254,257,260,263,266,269,272],{"_104":152,"_95":153,"_154":155,"_156":-5,"_157":139,"_158":159,"_160":22,"_106":161,"_100":32,"_162":163,"_164":165,"_166":22,"_167":-5,"_168":255,"_98":256},[],[153],{"_104":172,"_95":173,"_154":174,"_156":-5,"_157":139,"_158":175,"_160":22,"_106":176,"_100":32,"_162":177,"_164":178,"_166":22,"_167":-5,"_168":258,"_98":259},[],[173],{"_104":182,"_95":183,"_154":184,"_156":-5,"_157":139,"_158":185,"_160":22,"_106":186,"_100":32,"_162":177,"_164":187,"_166":22,"_167":-5,"_168":261,"_98":262},[],[183],{"_104":191,"_95":192,"_154":193,"_156":-5,"_157":139,"_158":194,"_160":22,"_106":195,"_100":32,"_162":163,"_164":196,"_166":22,"_167":-5,"_168":264,"_98":265},[],[192],{"_104":200,"_95":201,"_154":202,"_156":-5,"_157":139,"_158":203,"_160":22,"_106":204,"_100":32,"_162":177,"_164":205,"_166":22,"_167":206,"_168":267,"_98":268},[],[201],{"_104":210,"_95":99,"_154":211,"_156":-5,"_157":139,"_158":212,"_160":22,"_106":213,"_100":32,"_162":177,"_164":72,"_166":22,"_167":-5,"_168":270,"_98":271},[],[99],{"_104":217,"_95":218,"_154":219,"_156":-5,"_157":139,"_158":101,"_160":22,"_106":220,"_100":32,"_162":177,"_164":221,"_166":22,"_167":-5,"_168":273,"_98":274},[],[218],[254,257,260,263,266,269,272],{"_104":210,"_95":99,"_154":211,"_156":-5,"_157":139,"_158":212,"_160":22,"_106":238,"_100":32,"_162":177,"_164":72,"_166":22,"_167":-5,"_98":277},[99],[],"upstream","showCompareCallout","pull","ahead","behind","templates",[],"actionData","errors"]

charmaine

Transcript-Processor