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OpenAI Streaming Example

\n Prompt:\n \n \n \n \n

OpenAI Streaming Example

\n Prompt:\n \n \n \n \n

\n \n \n\n`;\n\napp.get('/chat', async (c) => {\n const prompt = c.req.query('prompt') || \"tell me a joke\";\n c.header('Content-Type', 'text/event-stream'); // Set Content-Type header\n return streamSSE(c, async (stream) => {\n const chatStream = await openai.chat.completions.create({\n model: \"gpt-3.5-turbo\",\n messages: [{ role: \"user\", content: prompt }],\n stream: true,\n });\n\n for await (const chunk of chatStream) {\n if (chunk.choices[0]?.delta?.content) {\n stream.writeSSE({\n event: 'message',\n data: JSON.stringify({ token: chunk.choices[0].delta.content }),\n });\n }\n }\n // Send a completion event\n stream.writeSSE({\n event: 'complete',\n data: JSON.stringify({ done: true }),\n });\n });\n});\n\napp.get('/', (c) => c.html(htmlContent));\n\nexport default app.fetch; // val.town\n// Deno.serve(app.fetch); // 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Frankenstein of an example shows how well Hono, htmx, and Alpine play together. \n- Hono serves the frameworks, API calls, and functions\n- htmx handles ajax requests, and can very powerfully request html and other content to swap out the front-end\n- alpine handles app-like reactivity without having to always resort to server round trips\n\nMigrated from folder: 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Diff · v74