app.py

from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse

from transformers import pipeline
#from datasets import load_dataset

app = FastAPI()

pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
#Inference Augmentation: Load a dataset like SQuAD for question-answering;
#to generate responses, testing zero-shot capabilities


@app.get("/infer_t5")
def t5(input):
    output = pipe_flan(input)
    return {"output": output[0]["generated_text"]}

app.mount("/", StaticFiles(directory="static", html=True), name="static")
app.mount("/static", StaticFiles(directory="static"), name="static")

@app.get("/")
def index() -> FileResponse:
    return FileResponse(path="/app/static/index.html", media_type="text/html") 

## line-6 
#dataset = load_dataset('glue', 'mrpc')


#In app.py, define models/endpoints for /signup
#(hash passwords with bcrypt—add bcrypt==4.2.0), 
#/login (JWT auth via fastapi-jwt-auth or built-in)