Chat with Wordview

Worldview integrates GPT-3.5-Turbo to enable the users to interact with their data and get insights from it via Natural Language. See examples of chatting with different components of Wordview below.

Chat with TextStatsPlots

After allowing Wordview to process and analyze your corpus, you can call the chat method to interact with the data and get insights from it via Natural Language.

import json

import pandas as pd

from wordview.text_analysis import TextStatsPlots
imdb_df = pd.read_csv("data/IMDB_Dataset_sample_5k.csv")
with open("your_secrets_dir/openai_api_key.json", "r") as f:
   credentials = json.load(f)

tsp = TextStatsPlots(df=imdb_df, text_column="review")
tsp.chat(api_key=credentials.get("openai_api_key"))

The chat UI is available under http://127.0.0.1:5000/

Chat with MWEs

After allowing Wordview to extract MWEs, you can call the chat method to get insights from this extraction through Natural Language.

import json

import pandas as pd

from wordview.mwe_extraction import MWEs
from wordview.preprocessing import NgramExtractor

imdb_df = pd.read_csv("data/IMDB_Dataset_sample_5k.csv")
with open("your_secrets_dir/openai_api_key.json", "r") as f:
   credentials = json.load(f)

extractor = NgramExtractor(imdb_df, "review")
extractor.extract_ngrams()
extractor.get_ngram_counts(ngram_count_file_path="ngram_counts.json")

mwe_obj = MWE(imdb_df, 'review',
             ngram_count_file_path='ngram_counts.json',
             language='EN',
             custom_patterns="NP: {<DT>?<JJ>*<NN>}",
             only_custom_patterns=False,
             )
 mwe_obj.extract_mwes(sort=True, top_n=10)
 mwe_obj.chat(api_key=credentials.get("openai_api_key"))

The chat UI for MWEs is available under http://127.0.0.1:5001/