app.py

import gradio as gr
from word2vec import get_cosine_similarity, get_cosine_similarity_one_word


def greet(name, name2, name3):
    return f"hello {name}!"

with gr.Blocks() as demo:
    gr.Markdown("# Welcome to Ancient Greek Word2Vec")
    
    # Tab 1
    with gr.Tab("Find nearest neighbours"):
        gr.Markdown("## Find nearest neighbours")

    
    # Tab 2    
    with gr.Tab("Cosine similarity"):
        gr.Markdown("## Cosine similarity")
        gr.Markdown('### Two different words')
        iface = gr.Interface(
            fn=get_cosine_similarity,
            inputs=[
                gr.Textbox(label='Word 1', placeholder='χρηστήριον'),
                gr.Textbox(label='Word 2', placeholder='λίκνον'),
                gr.Radio(label='Time slice', choices=["archaic_cbow", "classical_cbow", "early_roman_cbow", "hellen_cbow", "late_roman_cbow"])
            ],
            outputs=gr.Textbox(label="Result"),
            submit_btn='Calculate'
        )
        
        gr.Markdown('### One word in different time slices')
        iface = gr.Interface(
            fn=get_cosine_similarity_one_word,
            inputs=[
                gr.Textbox(label='Word', placeholder='χρηστήριον'),
                gr.Radio(label='Time slice', choices=["archaic_cbow", "classical_cbow", "early_roman_cbow", "hellen_cbow", "late_roman_cbow"]),
                gr.Radio(label='Time slice', choices=["archaic_cbow", "classical_cbow", "early_roman_cbow", "hellen_cbow", "late_roman_cbow"])

            ],
            outputs=gr.Textbox(label="Result"),
            submit_btn='Calculate'
        )

    
    # Tab 3
    with gr.Tab("3D graph"):
        gr.Markdown("## 3D graph")
    
    # Tab 4  
    with gr.Tab("Dictionary"):
        gr.Markdown("## Dictionary")



if __name__ == "__main__":
    demo.launch()