diff --git a/desktop/src/main/services/ml.ts b/desktop/src/main/services/ml.ts
index 8292596a2..6b38bc74d 100644
--- a/desktop/src/main/services/ml.ts
+++ b/desktop/src/main/services/ml.ts
@@ -34,6 +34,7 @@ import { writeStream } from "../stream";
  * actively trigger a download until the returned function is called.
  *
  * @param modelName The name of the model to download.
+ *
  * @param modelByteSize The size in bytes that we expect the model to have. If
  * the size of the downloaded model does not match the expected size, then we
  * will redownload it.
@@ -99,13 +100,15 @@ const downloadModel = async (saveLocation: string, name: string) => {
     // `mkdir -p` the directory where we want to save the model.
     const saveDir = path.dirname(saveLocation);
     await fs.mkdir(saveDir, { recursive: true });
-    // Download
+    // Download.
     log.info(`Downloading ML model from ${name}`);
     const url = `https://models.ente.io/${name}`;
     const res = await net.fetch(url);
     if (!res.ok) throw new Error(`Failed to fetch ${url}: HTTP ${res.status}`);
-    // Save
-    await writeStream(saveLocation, res.body);
+    const body = res.body;
+    if (!body) throw new Error(`Received an null response for ${url}`);
+    // Save.
+    await writeStream(saveLocation, body);
     log.info(`Downloaded CLIP model ${name}`);
 };
 
@@ -114,9 +117,9 @@ const downloadModel = async (saveLocation: string, name: string) => {
  */
 const createInferenceSession = async (modelPath: string) => {
     return await ort.InferenceSession.create(modelPath, {
-        // Restrict the number of threads to 1
+        // Restrict the number of threads to 1.
         intraOpNumThreads: 1,
-        // Be more conservative with RAM usage
+        // Be more conservative with RAM usage.
         enableCpuMemArena: false,
     });
 };