main.py

import os
from fastapi import FastAPI, Request
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse
from transformers import pipeline, MBartForConditionalGeneration, MBart50TokenizerFast


model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-one-to-many-mmt")
tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-one-to-many-mmt", src_lang="en_XX")

app = FastAPI()



@app.get("/infer_t5")
def t5(input):
    model_inputs = tokenizer(input, return_tensors="pt")

    # translate from English to Malayalam
    generated_tokens = model.generate(
        **model_inputs,
        forced_bos_token_id=tokenizer.lang_code_to_id["ml_IN"]
    )
    
    output = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
    return {"output":output}

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

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