import gradio as gr
from mtranslate import translate
from textblob import TextBlob

def analyze(sentence):
    # Translate the sentence from Japanese to English
    en_sentence = translate(sentence, "en")

    # Create a TextBlob object for the sentence
    blob = TextBlob(en_sentence)
    
    # Get the polarity score for the sentence
    polarity_score = blob.sentiment.polarity
    
    # Return a result
    if polarity_score > 0:
        sentiment = "Positive"
    elif polarity_score == 0:
        sentiment = "Neutral"
    else:
        sentiment = "Negative"

    return (en_sentence, sentiment)

output_format = [ {"type": "text", "label": "Translated Sentence"},
                {"type": "text", "label": "Sentiment Analysis Result"}]

iface = gr.Interface(fn=analyze,
                     inputs="text",
                     outputs=output_format)
iface.launch()