app.py

import gradio as gr
from gensim.models import FastText

# Load your trained FastText model
model_path = "fasttext_cs.model"
ft_model = FastText.load(model_path)

def get_nearest(word):
    if word in ft_model.wv:
        return ft_model.wv.most_similar(word, topn=10)
    else:
        return f"Word '{word}' not found in vocabulary."

# Define a Gradio interface
iface = gr.Interface(
    fn=get_nearest,
    inputs="text",
    outputs="json",
    title="FastText Nearest Neighbors",
    description="Enter a word from the cs_query vocabulary to see its top 10 similar words."
)

iface.launch()