75 lines
2.9 KiB
TypeScript
Executable File
75 lines
2.9 KiB
TypeScript
Executable File
import { NextResponse } from 'next/server';
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export async function POST(request: Request) {
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try {
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const { imageURL, type } = await request.json();
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if (!imageURL) {
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return NextResponse.json({ error: "No image URL provided" }, { status: 400 });
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}
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const payload = {
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messages: [
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{
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role: "user",
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content: [
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{
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type: "text",
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text: ` Analyze the following ${type} bill image and extract the following information:
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1. Multiple data points of usage, each with a date and ${type === 'gas' ? 'therms' : 'kWh'} used
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2. Any other relevant usage data
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Format the output as a JSON object with an array of data points and any additional data.
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You must output valid JSON in the following format, or an empty array if no data is found:
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{
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"dataPoints": [
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{
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"date": "<ISO 8601 date string>",
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"usage": <number>
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},
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// ... more data points
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]
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}
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`
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},
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{
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type: "image_url",
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image_url: {
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url: imageURL
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}
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}
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]
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}
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],
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temperature: 0.4,
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top_p: 0.95,
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max_tokens: 1000
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};
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const response = await fetch(process.env.AZURE_OPENAI_ENDPOINT as string, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'api-key': process.env.AZURE_OPENAI_KEY as string,
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},
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body: JSON.stringify(payload),
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});
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console.log('CHAT RESPONSE', response);
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if (!response.ok) {
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throw new Error('Failed to generate description: ' + response.status + " " + response.statusText);
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}
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const data = await response.json();
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const description = data.choices[0].message.content;
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console.log("CHAT DESCRIPTION", description);
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return NextResponse.json({ response: description });
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} catch (error) {
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console.error('Error processing chat:', error);
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return NextResponse.json({ error: (error as Error).message }, { status: 500 });
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}
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}
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