import gradio as gr

description = "Classify Financial Tweets with FinTwitBERT"
title = "FinTwitBERT-Sentiment"
examples = [["Nice 9% pre market move for $para, pump my calls Uncle\_Buffett\_🤑"], 
            ["It is about damn time that my $ARB and $ETH bags pump FFS. 🚀"],
            ["$SPY $SPX closed higher 8th consecutive weeks. Last time it closed 9th straight was 20 years ago."],
            ["$TCBP Lowest float stock in the market. Float just 325k. Don’t sell for pennies, this one will be a monster. Still early"],
            ["Italian companies braced for more political uncertainty"]
           ]

gr.load("models/StephanAkkerman/FinTwitBERT-sentiment", title=title, description=description, examples=examples).launch()