initial commit

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# 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
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# 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
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+.DS_Store

Dockerfile

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+# Use the official Python base image
+FROM python:3.9
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the requirements.txt file into the container
+COPY requirements.txt .
+
+# Install the Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Install en_core_web_sm
+RUN pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0.tar.gz --user
+
+# Copy the rest of the application code into the container
+COPY . .
+
+# Expose the port that the app will run on
+EXPOSE 7860
+
+# Start the FastAPI app using Uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

LICENSE

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+MIT License
+
+Copyright (c) 2023 Ryan Wesslen
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

main.py

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+from fastapi import FastAPI
+from pydantic import BaseModel
+import spacy
+from spacy.matcher import Matcher
+
+app = FastAPI()
+nlp = spacy.load("en_core_web_sm")
+matcher = Matcher(nlp.vocab)
+
+# Define a Pydantic model for the request body
+class TextInput(BaseModel):
+    text: str
+
+@app.post("/score_text")
+def score_text(text_input: TextInput):
+    """Endpoint to score text for uncertain statements using spaCy Matcher."""
+    # Load the text into spaCy's nlp object
+    doc = nlp(text_input.text)
+
+    # Define spaCy Matcher patterns for uncertain statements
+    pattern1 = [{"IS_ALPHA": True, "OP": "?"}, {"ORTH": "may"}, {"IS_ALPHA": True, "OP": "?"}]
+    pattern2 = [{"IS_ALPHA": True, "OP": "?"}, {"ORTH": "might"}, {"IS_ALPHA": True, "OP": "?"}]
+    pattern3 = [{"IS_ALPHA": True, "OP": "?"}, {"ORTH": "could"}, {"IS_ALPHA": True, "OP": "?"}]
+
+    # Add the patterns to the Matcher
+    matcher.add("UNCERTAIN_STATEMENT", [pattern1, pattern2, pattern3])
+
+    # Use the Matcher to find matches in the text
+    matches = matcher(doc)
+
+    # Extract matched spans and their associated text
+    uncertain_statements = [doc[start:end].text for _, start, end in matches]
+
+    # Calculate the score as the ratio of uncertain statements to the total number of sentences
+    score = len(uncertain_statements) / len(list(doc.sents))
+
+    # Return the score
+    return {"score": score, "uncertain_statements": uncertain_statements}

requirements.txt

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+fastapi
+spacy
+uvicorn