app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("text-classification", model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis")

def text_classification(prompt):
    pro = pipe(prompt)
    return pro


title = "Enter your Prompt"
description = """

# This is Fine-tuned BERT based Financial sentiment analysis Model

<img src = "https://upload.wikimedia.org/wikipedia/commons/2/2f/Google_2015_logo.svg" width=300px> 
"""


gr.Interface( fn = text_classification,
             inputs = gr.Textbox(),
             outputs= gr.Textbox() ,
            title=title,
            description=description,

).launch()