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Initial Commit and updated Requirements
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Barry Weiss
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Jun 8, 2023
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# ignore to pull into container | ||
.env-template |
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# Add your API Key below | ||
API_KEY_OPENAI = "YOUR KEY IS HERE" |
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# Ignore .env fiile | ||
.env | ||
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# Ignore others | ||
# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
var/ | ||
wheels/ | ||
share/python-wheels/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
MANIFEST | ||
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# PyInstaller | ||
# Usually these files are written by a python script from a template | ||
# before PyInstaller builds the exe, so as to inject date/other infos into it. | ||
*.manifest | ||
*.spec | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.nox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*.cover | ||
*.py,cover | ||
.hypothesis/ | ||
.pytest_cache/ | ||
cover/ | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
db.sqlite3 | ||
db.sqlite3-journal | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
.pybuilder/ | ||
target/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
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# IPython | ||
profile_default/ | ||
ipython_config.py | ||
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# pyenv | ||
# For a library or package, you might want to ignore these files since the code is | ||
# intended to run in multiple environments; otherwise, check them in: | ||
# .python-version | ||
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# pipenv | ||
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. | ||
# However, in case of collaboration, if having platform-specific dependencies or dependencies | ||
# having no cross-platform support, pipenv may install dependencies that don't work, or not | ||
# install all needed dependencies. | ||
#Pipfile.lock | ||
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# poetry | ||
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. | ||
# This is especially recommended for binary packages to ensure reproducibility, and is more | ||
# commonly ignored for libraries. | ||
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control | ||
#poetry.lock | ||
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# pdm | ||
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. | ||
#pdm.lock | ||
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it | ||
# in version control. | ||
# https://pdm.fming.dev/#use-with-ide | ||
.pdm.toml | ||
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm | ||
__pypackages__/ | ||
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# Celery stuff | ||
celerybeat-schedule | ||
celerybeat.pid | ||
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# SageMath parsed files | ||
*.sage.py | ||
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# Environments | ||
.env | ||
.venv | ||
env/ | ||
venv/ | ||
ENV/ | ||
env.bak/ | ||
venv.bak/ | ||
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# Spyder project settings | ||
.spyderproject | ||
.spyproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# mkdocs documentation | ||
/site | ||
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# mypy | ||
.mypy_cache/ | ||
.dmypy.json | ||
dmypy.json | ||
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# Pyre type checker | ||
.pyre/ | ||
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# pytype static type analyzer | ||
.pytype/ | ||
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# Cython debug symbols | ||
cython_debug/ | ||
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# PyCharm | ||
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can | ||
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore | ||
# and can be added to the global gitignore or merged into this file. For a more nuclear | ||
# option (not recommended) you can uncomment the following to ignore the entire idea folder. | ||
#.idea/ |
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FROM python:3.10-bullseye | ||
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WORKDIR /app | ||
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COPY . /app | ||
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RUN pip install -r requirements.txt | ||
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EXPOSE 8501 | ||
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CMD ["streamlit", "run", "main.py"] |
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#! /usr/bin/env Python3 | ||
""" | ||
Tolken Calculation for OpenAI Models | ||
Based on notes found in: | ||
https://github.com/openai/openai-cookbook/blob/297c53430cad2d05ba763ab9dca64309cb5091e9/examples/How_to_count_tokens_with_tiktoken.ipynb | ||
""" | ||
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from os import getenv | ||
from dotenv import load_dotenv | ||
import streamlit as st | ||
import tiktoken | ||
import openai | ||
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load_dotenv('./.env') | ||
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openai.api_key = getenv('API_KEY_OPENAI') | ||
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if openai.api_key: | ||
print("API KEY LOADED") | ||
else: | ||
st.error('No API Key found') | ||
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st.title('ChatGPT TokenCalculator') | ||
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def load(): | ||
"""_summary_ | ||
Returns: | ||
_type_: _description_ | ||
""" | ||
upload_file = st.file_uploader('Please upload a .txt or .pdf File', ['.txt', '.pdf']) | ||
return upload_file | ||
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def num_tokens_from_string(string: str, encoding_name: str) -> int: | ||
"""Returns the number of tokens in a text string.""" | ||
encoding = tiktoken.get_encoding(encoding_name) | ||
num_tokens = len(encoding.encode(string)) | ||
return num_tokens | ||
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def get_model_encoding(model): | ||
"""_summary_ | ||
Args: | ||
model (_type_): _description_ | ||
Returns: | ||
_type_: _description_ | ||
""" | ||
encoding = tiktoken.encoding_for_model(model) | ||
return encoding | ||
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def get_models(): | ||
"""_summary_ | ||
Yields: | ||
_type_: _description_ | ||
""" | ||
models = openai.Engine.list() | ||
for model in models['data']: | ||
yield model['id'] | ||
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file = load() | ||
if file is not None: | ||
st.write("File Loaded") | ||
file_output = file.read().decode() | ||
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tab1, tab2, tab3 = st.tabs(["OpenAI Model and Encoding", "Number of Tokens", "Encodings"]) | ||
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with tab1: | ||
st.subheader("OpenAI Model and Encoding") | ||
model = st.selectbox('Choose OpenAI Model', list(get_models())) | ||
encoding = get_model_encoding(model) | ||
st.write(f"The {model} model uses {encoding.name} for encoding.") | ||
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with tab2: | ||
st.subheader("Word Block") | ||
word_block = list(file_output.split()) | ||
st.write(f"Word count: {len(word_block)}") | ||
num_tokens_from_string = num_tokens_from_string(file_output, encoding.name) | ||
st.write(f"There are {num_tokens_from_string} token(s) in the file.") | ||
st.write(f"File Output:\n\n{file_output}") | ||
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with tab3: | ||
encoded_list = encoding.encode(file_output) | ||
st.subheader(f"Text Turned into Encoded Tokens - {num_tokens_from_string} token(s)") | ||
st.table(encoded_list) |
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# Required Modules | ||
openai==0.27.8 | ||
streamlit==1.23.1 | ||
tiktoken==0.4.0 | ||
python-dotenv==1.0.0 |