app.py

import gradio as gr

model = pipeline("text-classification", model="mdeniz1/turkish-sentiment-analysis-bert-base-turkish-uncased")


def predict(prompt):
    sentiment=model(prompt)
    if sentiment[0]['label']=='LABEL_2':
        return 'positive'
    elif sentiment[0]['label']=='LABEL_1':
        return 'neutral'
    else:
        return 'negative'
gr.Interface(fn=predict, inputs="text", outputs="text").launch()