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app/api/image-to-text/route.ts

@@ -3,11 +3,15 @@ import { NextRequest, NextResponse } from "next/server";
 env.cacheDir = "./.cache";
 
 export const POST = async (request: NextRequest) => {
-  const { url } = await request.json();
-  const captioner = await pipeline(
-    "image-to-text",
-    "Xenova/vit-gpt2-image-captioning",
-  );
-  const output = await captioner(url);
-  return NextResponse.json(output);
+    try {
+      const { url } = await request.json();
+      const captioner = await pipeline(
+          "image-to-text",
+          "Xenova/vit-gpt2-image-captioning",
+      );
+      const output = await captioner(url);
+      return NextResponse.json(output);
+    }catch(error){
+    console.error(error)
+    }
 };

app/api/speech-to-audio/route.ts

@@ -5,12 +5,16 @@ import path from "path";
 
 const wav = new WaveFile();
 export const POST = async (request: NextRequest) => {
-  const { audio, sampling_rate, name } = await request.json();
-  console.log(Object.values(audio));
-  wav.fromScratch(1, sampling_rate, "32f", Object.values(audio));
-  fs.writeFileSync(
-    path.join(process.cwd() + `/public/${name}.wav`),
-    wav.toBuffer(),
-  );
-  return NextResponse.json({ audio: `/${name}.wav` });
+  try{
+    const { audio, sampling_rate, name } = await request.json();
+    console.log(Object.values(audio));
+    wav.fromScratch(1, sampling_rate, "32f", Object.values(audio));
+    fs.writeFileSync(
+        path.join(process.cwd() + `/public/${name}.wav`),
+        wav.toBuffer(),
+    );
+    return NextResponse.json({ audio: `/${name}.wav` });
+  }catch (e) {
+   console.error(e)
+  }
 };

app/api/text-to-speech-lang/route.ts

@@ -4,10 +4,14 @@ import { NextRequest, NextResponse } from "next/server";
 env.cacheDir = "./.cache";
 
 export const POST = async (request: NextRequest) => {
-  const { text, modal } = await request.json();
-  const synthesizer = await pipeline("text-to-speech", modal);
-  const speaker_embeddings =
-    "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/v3.0.0/speaker_embeddings.bin";
-  const out = await synthesizer(text, { speaker_embeddings });
-  return NextResponse.json(out);
+  try{
+    const { text, modal } = await request.json();
+    const synthesizer = await pipeline("text-to-speech", modal);
+    const speaker_embeddings =
+        "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/v3.0.0/speaker_embeddings.bin";
+    const out = await synthesizer(text, { speaker_embeddings });
+    return NextResponse.json(out);
+  }catch (e) {
+   console.error(e)
+  }
 };

app/api/text-to-speech/route.ts

@@ -4,13 +4,18 @@ import { NextRequest, NextResponse } from "next/server";
 env.cacheDir = "./.cache";
 
 export const POST = async (request: NextRequest) => {
-  const { text } = await request.json();
-  console.log("the text", text);
-  const synthesizer = await pipeline("text-to-speech", "Xenova/speecht5_tts");
-  const speaker_embeddings =
-    "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin";
-  const out = await synthesizer(text, {
-    speaker_embeddings,
-  });
-  return NextResponse.json(out);
+  try{
+    const { text } = await request.json();
+    console.log("the text", text);
+    const synthesizer = await pipeline("text-to-speech", "Xenova/speecht5_tts");
+    const speaker_embeddings =
+        "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin";
+    const out = await synthesizer(text, {
+      speaker_embeddings,
+    });
+    return NextResponse.json(out);
+  }catch (e) {
+  console.error(e)
+  }
+
 };

app/api/translator/route.ts

@@ -6,11 +6,15 @@ env.allowLocalModels=false;
 env.cacheDir = "./.cache";
 
 export const POST = async (request: NextRequest) => {
-  const { text, code } = await request.json();
-  const translator = await pipeline("translation", "Xenova/m2m100_418M");
-  const out = await translator(text, {
-    src_lang: "en",
-    tgt_lang: code,
-  } as never);
-  return NextResponse.json(out);
+  try{
+    const { text, code } = await request.json();
+    const translator = await pipeline("translation", "Xenova/m2m100_418M");
+    const out = await translator(text, {
+      src_lang: "en",
+      tgt_lang: code,
+    } as never);
+    return NextResponse.json(out);
+  }catch(e){
+    console.error(e)
+  }
 };