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

from transformers import pipeline

import gradio as gr

#app = FastAPI()

pipe_flan = pipeline("text-generation", model="gpt2")

#@app.get("/infer_gpt2")
def gpt2(input):
    output = pipe_flan(input, max_length=130, num_return_sequences=1)
    return {"output": output[0]["generated_text"]}
#    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")

demo = gr.Interface(
    fn=gpt2,
    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Generated Text")
)


demo.launch()