IsaacSarps gr8testgad-1 commited on
Commit
b6fa0f7
·
1 Parent(s): 782e58c

Update app.py (#2)

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- Update app.py (39ba867ed3db8689c92032803bd3a9a59fd4149c)


Co-authored-by: Israel Anaba Ayamga <[email protected]>

Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -3,11 +3,8 @@ import pandas as pd
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  import numpy as np
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  import pickle
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  from scipy.special import softmax
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- # import transfomers
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
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- # from transformers import AutoModelForSequenceClassification
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- # from transformers import TFAutoModelForSequenceClassification
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- # from transformers import AutoTokenizer, AutoConfig
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  # Requirements
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  model_path = "IsaacSarps/sentiment_analysis"
@@ -45,7 +42,10 @@ demo = gr.Interface(
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  inputs=gr.Textbox(placeholder="Share your thoughts on COVID vaccines..."),
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  outputs="label",
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  interpretation="default",
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- examples=[["I feel confident about covid vaccines."]],
 
 
 
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  title="COVID Vaccine Sentiment Analysis",
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  description="An AI model that predicts sentiment about COVID vaccines, providing labels and probabilities for 'NEGATIVE', 'NEUTRAL', and 'POSITIVE' sentiments.",
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  theme="default",
 
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  import numpy as np
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  import pickle
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  from scipy.special import softmax
 
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
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+
 
 
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  # Requirements
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  model_path = "IsaacSarps/sentiment_analysis"
 
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  inputs=gr.Textbox(placeholder="Share your thoughts on COVID vaccines..."),
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  outputs="label",
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  interpretation="default",
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+ examples=[["I feel confident about covid vaccines."]
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+ ["i do not like the covid vaccine"],
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+ ["i like the covid vaccine"],
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+ ["the covid vaccine is effective"]],
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  title="COVID Vaccine Sentiment Analysis",
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  description="An AI model that predicts sentiment about COVID vaccines, providing labels and probabilities for 'NEGATIVE', 'NEUTRAL', and 'POSITIVE' sentiments.",
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  theme="default",