app.py

import gradio as gr
from model import CustomModel
from preprocess import preprocess_pipeline, vectorizer
import os

os.system("cp -r ./nltk_data/ /home/user/nltk_data")

def analyze(text):
    model = CustomModel()
    text = preprocess_pipeline(text)
    vector = vectorizer([text])
    pred = model.predict(vector)
    return pred

app = gr.Interface(fn=analyze, inputs="text", outputs="text")

# app.launch(share="True")
app.launch()