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Update app.py
Browse files
app.py
CHANGED
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@@ -1,20 +1,21 @@
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from fastapi import FastAPI, UploadFile, File, HTTPException
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from tools import 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 fastapi.middleware.cors import CORSMiddleware
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import asyncio
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from pydantic import BaseModel
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from utils import TTS, STT
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app = FastAPI()
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# Configure CORS - restrict in production
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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@@ -23,82 +24,46 @@ app.add_middleware(
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class TTSRequest(BaseModel):
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text: str
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UPLOAD_DIR = "uploads"
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ALLOWED_EXTENSIONS = {".pdf", ".txt", ".docx", ".md"} # Add allowed file types
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MAX_FILE_SIZE = 10 * 1024 * 1024 # 10MB limit
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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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# Validate file size
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if len(content) > MAX_FILE_SIZE:
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raise HTTPException(
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status_code=400,
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detail=f"File too large. Maximum size: {MAX_FILE_SIZE / (1024*1024)}MB"
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)
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# Save 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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f.write(content)
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# Update retriever
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update_retriever(file_path)
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return {
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"status": "success",
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"filename": file.filename,
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"size": len(content)
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}
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except HTTPException:
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raise
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Upload failed: {str(e)}")
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@app.post("/chat")
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async def chat(message: str, session_id: str = "default"):
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raise HTTPException(status_code=400, detail="Message cannot be empty")
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# Validate session_id (basic validation)
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if not session_id or len(session_id) > 100:
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raise HTTPException(status_code=400, detail="Invalid session_id")
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async def event_generator():
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):
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if
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except Exception as e:
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yield f"data: Error: {str(e)}\n\n"
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return StreamingResponse(
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event_generator(),
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media_type="text/event-stream",
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@@ -108,54 +73,32 @@ 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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try:
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# Validate audio file type
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if not file.content_type or not file.content_type.startswith("audio/"):
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raise HTTPException(status_code=400, detail="Invalid audio file")
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return await STT(file)
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except HTTPException:
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raise
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except Exception as e:
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raise HTTPException(status_code=500, detail=
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@app.post("/tts")
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async def generate_tts(request: TTSRequest):
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try:
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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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# Limit text length to prevent abuse
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if len(request.text) > 5000:
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raise HTTPException(status_code=400, detail="Text too long (max 5000 characters)")
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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 file not created")
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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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background=None # Consider adding cleanup after response
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)
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except HTTPException:
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raise
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"TTS failed: {str(e)}")
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async def startup_event():
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os.makedirs(UPLOAD_DIR, exist_ok=True)
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# Optional: Graceful shutdown
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@app.on_event("shutdown")
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async def shutdown_event():
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# Clean up temporary files if needed
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pass
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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 asyncio
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from pydantic import BaseModel
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from utils import TTS, STT
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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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 {'Status' : 'The api is live and running'}
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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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f.write(await file.read())
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update_retriever(file_path)
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return {
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"status": "success",
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"filename": file.filename
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}
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@app.post("/chat")
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async def chat(message: str, session_id: str = "default"):
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async def event_generator():
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async for chunk in app_graph.astream(
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{"messages": [HumanMessage(content=message)]},
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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 len(chunk) >= 1:
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message_chunk = chunk[0] if isinstance(chunk, tuple) else chunk
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if hasattr(message_chunk, 'content') and message_chunk.content:
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data = str(message_chunk.content).replace("\n", "\\n")
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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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event_generator(),
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media_type="text/event-stream",
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"X-Accel-Buffering": "no",
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},
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)
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# ---------------- STT ---------------- #
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@app.post("/stt")
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async def transcribe_audio(file: UploadFile = File(...)):
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try:
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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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try:
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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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if not os.path.exists(audio_path):
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raise HTTPException(status_code=500, detail="Audio file not created")
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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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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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