app.py

import gradio as gr

project = hopsworks.login()
fs = project.get_feature_store()
dataset_api = project.get_dataset_api()

def article_selection(sentiment):
    if sentiment == "Positive":
        return f"""The sentence you requested is Positive!"""
    else sentiment == "Negative":
        return f"""The sentence you requested is Positive!""" 
    else sentiment == "Neutral":
        return f"""The sentence you requested is Positive!""" 
    
demo = gr.Interface(
    fn=article_selection,
    inputs = gr.inputs.Dropdown(["Positive","Negative","Neutral"])
    #outputs = [gr.outputs.Textbox(label="Sentiment Prediction")],
)


#TODO 
#demo = gr.TabbedInterface([url_demo, voice_demo], ["Swedish YouTube Video to English Text", "Swedish Audio to English Text"])


demo.launch()