diff --git a/.gitignore b/.gitignore index 6e9b3ce..728b1f6 100644 --- a/.gitignore +++ b/.gitignore @@ -136,4 +136,7 @@ dmypy.json # data IMDB_Dataset.csv IMDB_Dataset_tiny.csv -IMDB_Dataset_sample_5k.csv \ No newline at end of file +IMDB_Dataset_sample_5k.csv + +# Secretes +secrets/ \ No newline at end of file diff --git a/notebooks/demo.ipynb b/notebooks/demo.ipynb index e801d6e..fb2f2fb 100644 --- a/notebooks/demo.ipynb +++ b/notebooks/demo.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 1, "id": "21155605", "metadata": {}, "outputs": [], @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 2, "id": "cd3a6599", "metadata": {}, "outputs": [], @@ -57,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 3, "id": "48587d0d", "metadata": {}, "outputs": [], @@ -65,6 +65,12 @@ "imdb_df = pd.read_csv(\"../data/IMDB_Dataset_sample_5k.csv\")" ] }, + { + "cell_type": "markdown", + "id": "cc8b99a9", + "metadata": {}, + "source": [] + }, { "cell_type": "markdown", "id": "8c578bb0", @@ -75,7 +81,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 4, "id": "1a67b922", "metadata": {}, "outputs": [ @@ -83,10 +89,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "core - 313 - INFO - Processing text in review column of the input DataFrame...\n", - "100%|██████████████████████████████████████████████████████████████████| 5000/5000 [00:31<00:00, 156.37it/s]\n", - "core - 354 - INFO - Calculating Empirical and Theoretical Zipf values...\n", - "core - 359 - INFO - Time to measure predicted proportion for 91519 rows: 0.032450199127197266\n" + "core - 335 - INFO - Processing text in review column of the input DataFrame...\n", + " 9%|▉ | 454/5000 [00:03<00:30, 151.49it/s]core - 353 - WARNING - Processing entry --- . . . or type on a computer keyboard, they'd probably give this eponymous film a rating of \"10.\" After all, no elephants are shown being killed during the movie; it is not even implied that any are hurt. To the contrary, the master of ELEPHANT WALK, John Wiley (Peter Finch), complains that he cannot shoot any of the pachyderms--no matter how menacing--without a permit from the government (and his tone suggests such permits are not within the realm of probability). Furthermore, the elements conspire--in the form of an unusual drought and a human cholera epidemic--to leave the Wiley plantation house vulnerable to total destruction by the Elephant People (as the natives dub them) to close the story. If you happen to see the current release EARTH, you'll detect the Elephant People are faring less well today. --- lead to exception: list index out of range\n", + "100%|██████████| 5000/5000 [00:34<00:00, 144.33it/s]\n", + "core - 378 - INFO - Calculating Empirical and Theoretical Zipf values...\n", + "core - 383 - INFO - Time to measure predicted proportion for 91510 rows: 0.02987194061279297\n" ] } ], @@ -94,6 +101,14 @@ "tsp = TextStatsPlots(df=imdb_df, text_column='review')" ] }, + { + "cell_type": "markdown", + "id": "563ad310", + "metadata": {}, + "source": [ + "### Chat" + ] + }, { "cell_type": "markdown", "id": "b2bbbc42", @@ -104,7 +119,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 4, "id": "9bad5bb6", "metadata": {}, "outputs": [ @@ -115,19 +130,23 @@ "┌───────────────────┬─────────┐\n", "│ Language/s │ EN │\n", "├───────────────────┼─────────┤\n", - "│ Unique Words │ 91,519 │\n", + "│ Unique Words │ 91,510 │\n", "├───────────────────┼─────────┤\n", - "│ All Words │ 625,022 │\n", + "│ All Words │ 624,945 │\n", "├───────────────────┼─────────┤\n", "│ Documents │ 5,000 │\n", "├───────────────────┼─────────┤\n", "│ Median Doc Length │ 174.0 │\n", "├───────────────────┼─────────┤\n", - "│ Nouns │ 57,001 │\n", + "│ Nouns │ 56,995 │\n", + "├───────────────────┼─────────┤\n", + "│ Adjectives │ 32,189 │\n", + "├───────────────────┼─────────┤\n", + "│ Verbs │ 21,240 │\n", "├───────────────────┼─────────┤\n", - "│ Adjectives │ 32,191 │\n", + "│ Proper Nouns │ 5,663 │\n", "├───────────────────┼─────────┤\n", - "│ Verbs │ 21,244 │\n", + "│ Adverbs │ 5,759 │\n", "└───────────────────┴─────────┘\n" ] } diff --git a/poetry.lock b/poetry.lock index 61c6f24..a416a99 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,65 +2,78 @@ [[package]] name = "alabaster" -version = "0.7.13" -description = "A configurable sidebar-enabled Sphinx theme" +version = "0.7.16" +description = "A light, configurable Sphinx theme" 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false python-versions = ">=3.8" files = [ - {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, - {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, + {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"}, + {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"}, ] [package.extras] docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.11" -content-hash = "368b744d0f2871fcb22b67b6bfd3c1bb9a25c53f3d5968b2b626980d746d4df8" +content-hash = "ce5eca70e082e27b4a9c397aaedc18d8318d9f967115a2a7e3b1d4ade736f62b" diff --git a/pyproject.toml b/pyproject.toml index 728f843..028c543 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,6 +20,7 @@ wordcloud = "1.9.1.1" plotly = "5.5.0" tabulate = "0.9.0" sentence-transformers = "2.2.2" +openai = "1.14.3" [tool.poetry.group.dev.dependencies] pre-commit = ">=3.0.0" diff --git a/wordview/chat/chat_script.py b/wordview/chat/chat_script.py new file mode 100644 index 0000000..90fc119 --- /dev/null +++ b/wordview/chat/chat_script.py @@ -0,0 +1,14 @@ +import json + +import pandas as pd + +from wordview.text_analysis import TextStatsPlots + +if __name__ == "__main__": + imdb_df = pd.read_csv("data/IMDB_Dataset_sample_5k.csv") + + with open("wordview/chat/secrets/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")) diff --git a/wordview/mwes/mwe.py b/wordview/mwes/mwe.py index 3c2a287..3a2535c 100644 --- a/wordview/mwes/mwe.py +++ b/wordview/mwes/mwe.py @@ -51,7 +51,6 @@ def __init__( NP: {
?*} # Noun phrase You can use multiple and/or nested patterns, separated by a newline character e.g.: custom_pattern = ''' - NP: {
?*} # Noun phrase VP: {?+$} # Verb phrase PROPN: {+} # Proper noun ADJP: {*} # Adjective phrase diff --git a/wordview/text_analysis/wrapper.py b/wordview/text_analysis/wrapper.py index 770647a..3e1578a 100644 --- a/wordview/text_analysis/wrapper.py +++ b/wordview/text_analysis/wrapper.py @@ -3,6 +3,7 @@ import pandas import plotly.figure_factory as ff import plotly.graph_objs as go +from openai import OpenAI from tabulate import tabulate # type: ignore from wordview.text_analysis.core import ( @@ -96,6 +97,41 @@ def __init__( k: len(v) for k, v in self.analysis.word_count_by_pos.items() } + def chat(self, api_key: str = ""): + """Chat with OpenAI's latest model about the results of Wordview's text analysis. + + Args: + api_key: OpenAI API key. + + Returns: + None + """ + self.api_key = api_key + self.chat_client = OpenAI(api_key=api_key) + base_content = f"""Answer any questions about text and corpus analysis based on the following dictionary of Wordview Analysis. + \n\n + ------------------------------ + Wordview Analysis: + ------------------------------ + {self.return_stats()} + """ + chat_history = [ + {"role": "system", "content": base_content}, + ] + while True: + user_prompt = input("You: ") + chat_history.append({"role": "user", "content": user_prompt}) + response = ( + self.chat_client.chat.completions.create( + model="gpt-3.5-turbo", + messages=chat_history, + ) + .choices[0] + .message.content + ) + print(f"Wordview: {response}") + chat_history.append({"role": "assistant", "content": response}) + def show_distplot( self, distribution: str, @@ -326,6 +362,30 @@ def show_stats(self) -> None: ) print(table) + def return_stats(self) -> dict[str, Any]: + """Returns dataset statistics, including: + Language/s + Number of unique words + Number of all words + Number of documents + Median document length + Number of nouns + Number of adjectives + Number of verbs. + """ + return { + "Language/s": ", ".join(self.languages), + "Unique Words": f"{self.type_count:,d}", + "All Words": f"{self.token_count:,d}", + "Documents": f"{self.num_docs:,d}", + "Median Doc Length": self.median_doc_len, + "Nouns": f"{self.pos_counts['NN']:,d}", + "Adjectives": f"{self.pos_counts['JJ']:,d}", + "Verbs": f"{self.pos_counts['VB']:,d}", + "Proper Nouns": f"{self.pos_counts['NNP']:,d}", + "Adverbs": f"{self.pos_counts['RB']:,d}", + } + def show_insights(self): """Prints insights about the dataset.""" raise NotImplementedError