app.py

from fastapi import FastAPI
from transformers import pipeline
import gradio as gr



app = FastAPI()
model = pipeline("text-classification", model="win2win/3-epochs-classifier-ver2")

# Custom endpoint
@app.post("/predict")
async def api_predict(text: str):
    return model(text)

# Gradio interface
def predict(text):
    return model(text)

io = gr.Interface(fn=predict, inputs="text", outputs="json")

# Mount both endpoints
app = gr.mount_gradio_app(app, io, path="/")