use body

app.py

@@ -1,4 +1,5 @@
 from fastapi import FastAPI
+from pydantic import BaseModel
 from gtts import gTTS
 import aiofiles
 import uvicorn
@@ -7,6 +8,12 @@ import time
 
 app = FastAPI()
 
+# Pydantic model for JSON body
+class TTSRequest(BaseModel):
+    text: str
+    lang: str = "id"
+    slow: bool = False
+
 def generate_timestamps(script: str, wpm: int = 150):
     """
     Generate naive timestamps per sentence based on words per minute (WPM).
@@ -35,10 +42,10 @@ async def root():
     return {"message": "API is running!"}
 
 @app.post("/tts")
-async def text_to_speech(text: str):
+async def text_to_speech(request: TTSRequest):
     # Save TTS audio
-    tts = gTTS(text)
     file_path = "output.mp3"
+    tts = gTTS(request.text, lang=request.lang, slow=request.slow)
     tts.save(file_path)
 
     # Read audio file
@@ -46,10 +53,10 @@ async def text_to_speech(text: str):
         audio_data = await f.read()
 
     # Generate timestamps
-    timestamps = generate_timestamps(text)
+    timestamps = generate_timestamps(request.text)
 
     return {
-        "script": text,
+        "script": request.text,
         "timestamps": timestamps,
         "file": file_path,
         "size": len(audio_data)