aiFeedbackOnReport

src/routes/api/aiFeedbackOnReport.js

@@ -0,0 +1,41 @@
+const aiFeedbackOnReport = async (req, res) => {
+  const url = process.env.AI_API_ENDOINT;
+  const api_key = process.env.AI_API_KEY;
+
+  const payload = {
+    "model": "gpt-3.5-turbo",
+    "messages": [{ "role": "user", 
+      "content": JSON.stringify(data.score) + "\n above is a sample of a students report card\n" + data.instruction }]
+  }
+
+  try {
+    // Make the API call using fetch
+    const apiResponse = await fetch(url, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        'Authorization': `Bearer ${api_key}`,
+        // 'Authorization': api_key,
+      },
+      body: JSON.stringify(payload)
+    });
+
+    // Check if the response is OK
+    if (!apiResponse.ok) {
+      return res.status(apiResponse.status).send({ error: 'API response was not ok' });
+    }
+
+    // Parse the response as JSON
+    const data = await apiResponse.json();
+
+    // Send the API response back to the client
+    res.send(data);
+
+  } catch (error) {
+    console.error('Error fetching data:', error);
+    // Send an error response if something goes wrong
+    res.status(500).send({ error: 'Something went wrong with the fetch operation' });
+  }
+}
+
+module.exports = aiFeedbackOnReport;