[+] Deploy to pypi

deploy.sh

@@ -0,0 +1,16 @@
+#!/usr/bin/env bash
+
+# Stop on error
+set -e
+
+# Remove old build
+rm -rf dist/*
+
+# Build
+python setup.py sdist bdist_wheel
+
+# Check built files
+twine check dist/*
+
+# Upload
+twine upload dist/*

experiment/statistics.py

@@ -223,7 +223,7 @@ def collect_visualize_freq():
 
     # Write JSON
     data = {val: {'f': f_means[:, i].tolist(), 'm': m_means[:, i].tolist()} for i, val in enumerate(['Pitch', 'F1', 'F2', 'F3'])}
-    Path('results/frequency-data.json').write_text(json.dumps(data), 'utf-8')
+    Path('results/vox1_data.json').write_text(json.dumps(data), 'utf-8')
 
 
 def collect_visualize_tilt():

setup.py

@@ -0,0 +1,22 @@
+#!/usr/bin/env python3
+from pathlib import Path
+
+from setuptools import setup
+
+import sgs
+
+setup(
+    name="speech-gender-statistics",
+    version=sgs.__version__,
+    author="Azalea Gui",
+    author_email="hykilpikonna@gmail.com",
+    description='Using statistical methods to determine speech femininity/masculinity based on phonetic features',
+    license="MIT",
+    install_requires=['praat-parselmouth', 'numpy', 'scipy'],
+    url="https://github.com/hykilpikonna/SpeechGenderAnalysis",
+    packages=['sgs'],
+    include_package_data=True,
+    long_description=Path('README.md').read_text(),
+    long_description_content_type='text/markdown',
+    python_requires='>=3.8',
+)

sgs/__init__.py

@@ -0,0 +1,4 @@
+import sgs.api
+import sgs.calculations
+
+__version__ = '1.0.0'

sgs/api.py

@@ -2,10 +2,11 @@ import json
 from pathlib import Path
 from typing import Literal
 
+import pkg_resources
 from parselmouth import Sound
 from scipy.stats import gaussian_kde
 
-from calculations import calculate_freq_statistics, calculate_freq_info, calculate_tilt
+from .calculations import calculate_freq_statistics, calculate_freq_info, calculate_tilt
 
 Feature = Literal['pitch', 'f1', 'f2', 'f3', 'tilt']
 Gender = Literal['f', 'm']
@@ -23,8 +24,8 @@ def load_kde() -> dict[Feature, dict[Gender, gaussian_kde]]:
     if _kde_functions:
         return _kde_functions
 
-    data: dict[Feature, dict[Gender, list[float]]] = {**json.loads(Path('results/frequency-data.json').read_text()),
+    data_file = pkg_resources.resource_filename(__name__, 'data/vox1_data.json')
-                                                      **json.loads(Path('results/tilt-data.json').read_text())}
+    data: dict[Feature, dict[Gender, list[float]]] = json.loads(Path(data_file).read_text())
 
     # Lowercase keys
     data = {k.lower(): data[k] for k in data}

test.py

@@ -0,0 +1,4 @@
+import sgs
+
+if __name__ == '__main__':
+    print(sgs.api._calculate_fem_prob('pitch', 200))