app_bar.py

import gensim.downloader 
import gradio as gr
import pandas as pd
model = gensim.downloader.load("glove-wiki-gigaword-50")


description = """
### Word Embedding Demo App
Universidade Federal de São Paulo - Escola Paulista de Medicina

The output is Word3 + (Word2 - Word1)

Credits:  
* Gensim
* Glove
"""

Word1 = gr.Textbox()
Word2 = gr.Textbox()
Word3 = gr.Textbox()
label = gr.Label(show_label=True, label="Word4")
bp = gr.BarPlot(x="x", y="y")

def inference(word1, word2, word3):
    output = model.similar_by_vector(model[word3] + model[word2] - model[word1])
    #out_str = [x + ": " + str(y) for x,y in [item for item in output]]
    #return """\n""".join(out_str)
    df = pd.DataFrame({"x": [x for x,y in [item for item in output]],
                       "y": [str(y) for x,y in [item for item in output]]
                      })
    return df

examples = [
    ["woman", "man", "aunt"],  
    ["woman", "man", "girl"],
    ["woman", "man", "granddaughter"],
]

iface = gr.Interface(
    fn=inference,
    inputs=[Word1, Word2, Word3],
    outputs=bp,
    description=description,
    examples=examples
    )

iface.launch()