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# import gradio as gr
# gr.load("models/openai/whisper-large-v3").launch()
from typing import Union
from pydantic import BaseModel
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse
from transformers import pipeline
app = FastAPI(docs_url="/api/docs")
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_methods=["*"],
allow_headers=["*"],
allow_credentials=True,
)
pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
@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.get("/")
def index() -> FileResponse:
return FileResponse(path="/app/static/index.html", media_type="text/html")
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