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Update app.py
Browse files
app.py
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@@ -1,15 +1,14 @@
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from fastapi import FastAPI, UploadFile, File, HTTPException
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from tools import create_rag_tool, update_retriever
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from chatbot import app as app_graph
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from langchain_core.messages import HumanMessage
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import os
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from fastapi.responses import StreamingResponse, FileResponse
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from langchain_core.messages import AIMessage
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from fastapi.middleware.cors import CORSMiddleware
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import
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from pydantic import BaseModel
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app = FastAPI()
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@@ -21,20 +20,21 @@ app.add_middleware(
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allow_headers=["*"],
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)
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class TTSRequest(BaseModel):
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text: str
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UPLOAD_DIR = "uploads"
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@app.get("/")
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def health():
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return {
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@app.post("/upload")
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async def upload_file(file: UploadFile = File(...)):
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os.makedirs(UPLOAD_DIR, exist_ok=True)
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file_path = os.path.join(UPLOAD_DIR, file.filename)
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with open(file_path, "wb") as f:
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@@ -57,11 +57,10 @@ async def chat(message: str, session_id: str = "default"):
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config={"configurable": {"thread_id": session_id}},
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stream_mode="messages"
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):
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if
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if hasattr(
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data
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yield f"data: {data}\n\n"
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await asyncio.sleep(0.01)
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return StreamingResponse(
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@@ -73,32 +72,22 @@ async def chat(message: str, session_id: str = "default"):
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"X-Accel-Buffering": "no",
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},
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)
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@app.post("/stt")
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async def transcribe_audio(file: UploadFile = File(...)):
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return await STT(file)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.post("/tts")
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async def generate_tts(request: TTSRequest):
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if not request.text.strip():
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raise HTTPException(status_code=400, detail="Text is empty")
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audio_path = await TTS(text=request.text)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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from fastapi import FastAPI, UploadFile, File, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, FileResponse
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from pydantic import BaseModel
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import os
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import asyncio
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from chatbot import app as app_graph
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from langchain_core.messages import HumanMessage
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from tools import update_retriever
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from utils import TTS, STT
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app = FastAPI()
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allow_headers=["*"],
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)
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UPLOAD_DIR = "uploads"
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os.makedirs(UPLOAD_DIR, exist_ok=True)
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class TTSRequest(BaseModel):
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text: str
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@app.get("/")
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def health():
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return {"status": "API is running"}
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@app.post("/upload")
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async def upload_file(file: UploadFile = File(...)):
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file_path = os.path.join(UPLOAD_DIR, file.filename)
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with open(file_path, "wb") as f:
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config={"configurable": {"thread_id": session_id}},
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stream_mode="messages"
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):
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if chunk:
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msg = chunk[0] if isinstance(chunk, tuple) else chunk
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if hasattr(msg, "content") and msg.content:
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yield f"data: {msg.content}\n\n"
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await asyncio.sleep(0.01)
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return StreamingResponse(
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"X-Accel-Buffering": "no",
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},
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)
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@app.post("/stt")
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async def transcribe_audio(file: UploadFile = File(...)):
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return await STT(file)
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@app.post("/tts")
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async def generate_tts(request: TTSRequest):
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audio_path = await TTS(text=request.text)
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if not os.path.exists(audio_path):
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raise HTTPException(status_code=500, detail="Audio not generated")
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return FileResponse(
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path=audio_path,
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media_type="audio/mpeg",
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filename="speech.mp3"
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)
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