Simon Salmon
commited on
Commit
Β·
ea909ce
1
Parent(s):
7e9cf73
Update app.py
Browse files
app.py
CHANGED
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@@ -67,13 +67,6 @@ def main():
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mlm_model = "BigSalmon/BestMask2"
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mask_api = InferenceApi(mlm_model)
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if analyze == "Emotion":
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sa_model = "StevenLimcorn/indonesian-roberta-base-emotion-classifier"
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elif analyze == "Sentiment":
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sa_model = "w11wo/indonesian-roberta-base-sentiment-classifier"
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sa_pipeline = pipeline("sentiment-analysis", model=sa_model, tokenizer=sa_model)
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if len(user_input) > 0:
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try:
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user_input.index(MASK_TOKEN)
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@@ -97,20 +90,6 @@ def main():
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)
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display_table(mlm_df_styled, "π Top 5 Predictions")
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# render sentiment analysis table
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sa_df = pd.DataFrame(columns=["sequence", "label", "score"])
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for sequence in mlm_df["sequence"].values:
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sa_output = sa_pipeline(sequence) # predict for every mlm output
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result_dict = {"sequence": sequence}
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result_dict.update(sa_output[0])
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sa_df = sa_df.append(result_dict, ignore_index=True)
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sa_df["label"] = sa_df["label"].apply(lambda x: x + " " + EMOJI_MAP[x])
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sa_df_styled = sa_df.copy(deep=False)
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sa_df_styled = sa_df_styled.style.set_properties(
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subset=["sequence", "label", "score"], **{"text-align": "left"}
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)
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display_table(sa_df_styled, "π€ By saying that, I guess you are feeling..")
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if __name__ == "__main__":
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mlm_model = "BigSalmon/BestMask2"
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mask_api = InferenceApi(mlm_model)
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if len(user_input) > 0:
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try:
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user_input.index(MASK_TOKEN)
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)
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display_table(mlm_df_styled, "π Top 5 Predictions")
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if __name__ == "__main__":
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