app.py

import gradio as gr
import hopsworks

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

dataset_api = project.get_dataset_api()

dataset_api.download("Resources/images/latest_passenger_prediction.png")

def article_selection(sentiment):
    if sentiment == "Positive":
        return gr.image('latest_passenger_prediction.png')#f"""The sentence you requested is Positive!"""
    elif sentiment == "Negative":
        return f"""The sentence you requested is Negative!""" 
    else:
        return f"""The sentence you requested is Neutral!""" 



demo = gr.Interface(
    fn=article_selection,
    inputs = gr.inputs.Dropdown(["Positive","Negative","Neutral"], label="What type of news articles would you like recommended?"),
    outputs = [gr.outputs.Image(label="Sentiment of News Articles")],
)


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


demo.launch()