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app.py
CHANGED
@@ -1,6 +1,7 @@
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import numpy as np
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import streamlit as st
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from transformers import pipeline
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import torch
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def bertweet(data):
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@@ -12,7 +13,7 @@ def bertweet(data):
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return label, score
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def roberta(data):
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specific_model =
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result = specific_model(data)
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label = result[0]['label']
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score = result[0]['score']
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import numpy as np
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import streamlit as st
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from transformers import pipeline
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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def bertweet(data):
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return label, score
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def roberta(data):
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specific_model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment")
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result = specific_model(data)
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label = result[0]['label']
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score = result[0]['score']
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