data imports

Makefile

@@ -13,7 +13,10 @@ clean-test:
 	rm -f .coverage
 	rm -f .coverage.*
 
-clean: clean-pyc clean-test
+clean-drama:
+	rm -f ./src/dotd/dramaoftheday.md
+
+clean: clean-pyc clean-test clean-drama
 
 test: clean
 	. .venv/bin/activate && py.test tests --cov=src --cov-report=term-missing --cov-fail-under 95

setup.py

@@ -0,0 +1,20 @@
+from setuptools import setup, find_packages
+
+setup(
+    name="dotd",
+    version="0.1.0",
+    description="Generating gibberish shakespeare",
+    author="Tom Weber",
+    author_email="tom@weber.codes",
+    packages=find_packages(where="src"),
+    package_dir={"": "src"},
+    include_package_data=True,
+    package_data={
+        "dotd": [
+            "saved_models/rnn_2epochs.pth",
+            "data/shakespeare.txt",
+            "data/markdown_header.txt",
+        ]
+    },
+    install_requires=["wheel", "torch", "numpy"],
+)

src/dotd/data.py

@@ -1,12 +1,17 @@
 # coding: utf-8
 """ data module """
 import torch
+import os
 from torch.utils.data import Dataset
 
 
 def get_shakespeare():
     """loads the shakespeare text"""
-    return open("data/shakespeare.txt", "rt", encoding="utf-8").read()
+    return open(
+        os.path.join(os.path.dirname(__file__), "data/shakespeare.txt"),
+        "rt",
+        encoding="utf-8",
+    ).read()
 
 
 def preprocess(text: str) -> tuple:

src/dotd/generate.py

@@ -1,6 +1,7 @@
 # coding: utf-8
 """ generate the drama of the day """
 import re
+import os
 import torch
 from dotd.model import GRU
 from dotd.data import get_shakespeare, preprocess
@@ -8,7 +9,11 @@ from dotd.data import get_shakespeare, preprocess
 
 def get_header():
     """get markdown header file for hugo static website generator"""
-    return open("data/markdown_header.txt", "rt", encoding="utf-8").read()
+    return open(
+        os.path.join(os.path.dirname(__file__), "data/markdown_header.txt"),
+        "rt",
+        encoding="utf-8",
+    ).read()
 
 
 def load_model(alphabet_size: int, path: str = "saved_models/rnn_2epochs.pth") -> GRU:
@@ -16,7 +21,7 @@ def load_model(alphabet_size: int, path: str = "saved_models/rnn_2epochs.pth") -
     gru = GRU(alphabet_size, 1024, 256, layers=2, batch=1)  # instantiate model
     gru.load_state_dict(
         torch.load(
-            path,
+            os.path.join(os.path.dirname(__file__), path),
             map_location=torch.device("cpu"),
         )
     )  # load weights
@@ -53,10 +58,15 @@ def write_drama(seq, temp=0.7, max_seq_len=1000):
 
 
 def main():
+    print(__file__)
     """main function"""
     init_seq = "TOM:"
     output_text = get_header() + make_pretty(write_drama(init_seq))
-    with open("dramaoftheday.md", "w", encoding="utf-8") as file:
+    with open(
+        os.path.join(os.path.dirname(__file__), "dramaoftheday.md"),
+        "w",
+        encoding="utf-8",
+    ) as file:
         file.write(output_text)