Update app.py

app.py

@@ -1,4 +1,4 @@
-from fastapi import FastAPI, File, UploadFile
+from fastapi import FastAPI, File, UploadFile, Request
 from fastapi.responses import FileResponse
 from pydantic import BaseModel
 from transformers import AutoModelForCausalLM, AutoTokenizer
@@ -60,12 +60,12 @@ class ChatRequest(BaseModel):
     message: str
 
 @app.get("/")
-def read_root():
+    def read_root():
     return {"message": "Ứng dụng đang chạy!"}
 
 # Endpoint chat text
 @app.post("/chat")
-async def chat(request: ChatRequest):
+    async def chat(request: ChatRequest):
     conversation.append({"role": "user", "content": request.message})
     text = tokenizer.apply_chat_template(conversation, tokenize=False, add_generation_prompt=True)
     model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
@@ -75,7 +75,7 @@ async def chat(request: ChatRequest):
 
 # Endpoint voice chat + TTS
 """@app.post("/voice_chat")
-async def voice_chat(file: UploadFile = File(...)):
+    async def voice_chat(file: UploadFile = File(...)):
     file_location = f"temp_{file.filename}"
     with open(file_location, "wb") as f:
         f.write(await file.read())
@@ -88,7 +88,8 @@ import numpy as np
 import scipy.io.wavfile as wav 
 from fastapi import FastAPI, Request
 from fastapi.responses import JSONResponse 
-@app.post("/voice_chat") async def voice_chat(request: Request): 
+@app.post("/voice_chat")
+    async def voice_chat(request: Request): 
     # Đọc dữ liệu âm thanh thô từ ESP32 gửi lên
     raw_audio = await request.body() 
     # Giả sử âm thanh là PCM 16-bit mono, sample rate 16000 Hz 
@@ -133,7 +134,7 @@ from fastapi.responses import JSONResponse
 
 # Endpoint trả về file âm thanh
 @app.get("/get_audio")
-async def get_audio():
+    async def get_audio():
     return FileResponse("response.mp3", media_type="audio/mpeg")
 
 # Hàm sinh phản hồi