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ClassifyFilter.py
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ClassifyFilter.py
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import pandas as pd
from CohereLayer import *
def classifyFilter(df):
# for i in range
# sleep
# cohere key to avoid rate limitations
# Apply the cohere classifier on each entry in the responses
responses = df["Response"]
response_predicts = responses.apply(classify_text).tolist()
# Add the response_predicts to the dataframe
df["Response Semantic"] = response_predicts
output_file = "middleForTesting.csv"
df.to_csv(output_file, index=False)
# Filter the dataframe by removing all non-positive classifications
# MAYBE TRY LEAVING IN NEUTRALS AS WELL
df = df[df["Response Semantic"] == 'positive']
df = df.reset_index(drop=True)
# Write the DataFrame to a CSV file
output_file = "convClassFilter.csv"
df.to_csv(output_file, index=False)
return df
''' ==========================FUNCTION CALLS (for testing)=========================== '''