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vivekdhaiya
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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Replace 'bert-base-uncased' with the name of the model you want to use
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sentiment = pipeline("sentiment-analysis", model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis")
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def get_sentiment(input_text):
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result=sentiment(input_text)
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if result[0]['label']=="positive":
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face = "\U0001f642"
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elif result[0]['label']=="negative":
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face = "\U0001f641"
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else:
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face = "\U0001f610"
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return (result,face)
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iface = gr.Interface(fn=get_sentiment, inputs="text", outputs=['text','text'], title='Financial Sentiment Analysis')
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iface.launch(inline=False)
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