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Update app.py
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app.py
CHANGED
@@ -52,9 +52,9 @@ def translate(text, model, tokenizer, source_lang="pt", target_lang="en"):
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return translated_text
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# Function to translate and interact with TAPEX model
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-
def response(user_question,
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question_en = translate(user_question, pt_en_translator, tokenizer, source_lang="pt", target_lang="en")
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encoding = tapex_tokenizer(table=
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outputs = tapex_model.generate(**encoding)
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response_en = tapex_tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
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response_pt = translate(response_en, en_pt_translator, tokenizer, source_lang="en", target_lang="pt")
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@@ -166,6 +166,8 @@ def apply_prophet(df_clean):
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# Return the dataframe of all anomalies
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st.write(f"Concluída a aplicação do modelo de série tempotal")
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st.write(all_anomalies.head())
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return all_anomalies
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# Initialize session states
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return translated_text
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# Function to translate and interact with TAPEX model
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def response(user_question, all_anomalies):
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question_en = translate(user_question, pt_en_translator, tokenizer, source_lang="pt", target_lang="en")
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encoding = tapex_tokenizer(table=all_anomalies, query=[question_en], padding=True, return_tensors="pt", truncation=True)
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outputs = tapex_model.generate(**encoding)
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response_en = tapex_tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
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response_pt = translate(response_en, en_pt_translator, tokenizer, source_lang="en", target_lang="pt")
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# Return the dataframe of all anomalies
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st.write(f"Concluída a aplicação do modelo de série tempotal")
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st.write(all_anomalies.head())
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all_anomalies.sort_values(by=['real'], ascending=False, inplace=True)
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all_anomalies = all_anomalies[all_anomalies['real'] >= 10,000,000.00]
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return all_anomalies
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# Initialize session states
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