from fastapi import FastAPI from fastapi.staticfiles import StaticFiles from fastapi.responses import FileResponse from pydantic import BaseModel import os # ===================================================== # FastAPI App Setup # ===================================================== app = FastAPI(title="AI Chat + Summarization + Vision API") # ===================================================== # API Schemas # ===================================================== class ChatRequest(BaseModel): message: str max_new_tokens: int = 80 temperature: float = 0.7 class SummaryRequest(BaseModel): text: str max_length: int = 100 min_length: int = 25 # ===================================================== # Endpoints (Stubbed for Testing) # ===================================================== @app.post("/api/chat") def chat_generate(req: ChatRequest): return { "success": True, "response": f"This is a test response to: {req.message}", "tokens": [ {"token": "This", "alternatives": [{"token": "That", "probability": 0.3}]}, {"token": " is", "alternatives": [{"token": " was", "probability": 0.2}]}, {"token": " a", "alternatives": [{"token": " the", "probability": 0.4}]} ] } @app.post("/api/summarize") def summarize_text(req: SummaryRequest): return { "success": True, "summary": f"Summary: {req.text[:100]}..." } @app.post("/predict_words") def predict_words(req: dict): return [ {"word": "test", "probability": 0.8}, {"word": "demo", "probability": 0.1}, {"word": "example", "probability": 0.1} ] @app.get("/api/health") def health_check(): return { "status": "healthy", "models": ["stub-models-for-testing"] } # ===================================================== # Static Files # ===================================================== if os.path.exists("static"): app.mount("/static", StaticFiles(directory="static"), name="static") @app.get("/") def read_root(): if os.path.exists("static/index.html"): return FileResponse("static/index.html") return {"message": "Minimal AI Chat API running!"}