initializing parameters

.github/workflows/python-package-conda.yml

@@ -1,34 +0,0 @@
-name: Python Package using Conda
-
-on: [push]
-
-jobs:
-  build-linux:
-    runs-on: ubuntu-latest
-    strategy:
-      max-parallel: 5
-
-    steps:
-    - uses: actions/checkout@v3
-    - name: Set up Python 3.10
-      uses: actions/setup-python@v3
-      with:
-        python-version: '3.10'
-    - name: Add conda to system path
-      run: |
-        # $CONDA is an environment variable pointing to the root of the miniconda directory
-        echo $CONDA/bin >> $GITHUB_PATH
-    - name: Install dependencies
-      run: |
-        conda env update --file environment.yml --name base
-    - name: Lint with flake8
-      run: |
-        conda install flake8
-        # stop the build if there are Python syntax errors or undefined names
-        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
-        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-    - name: Test with pytest
-      run: |
-        conda install pytest
-        pytest

.github/workflows/test.yaml

@@ -0,0 +1,25 @@
+name: Run Python Tests
+
+on:
+  push:
+    branches:
+      - main
+      - master
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: 3.8
+
+      - name: Install dependencies
+        run: pip install -r requirements.txt # Adjust this based on your project structure
+
+      - name: Run tests
+        run: python -m unittest discover tests # Adjust this based on your test discovery method

README.md

@@ -31,17 +31,17 @@ ve-gans is a project for image generation using Generative Adversarial Networks
 
 To train the GAN model, use the following command:
 
-    ```bash
-    ve-gans-train
-    ```
+  ```bash
+  ve-gans-train
+  ```
 
 ## Generating Images
 
 To generate images with the trained model, use the following command:
 
-    ```bash
-    ve-gans-generate
-    ```
+  ```bash
+  ve-gans-generate
+  ```
 
 ## Project Structure
 

todo.txt

@@ -0,0 +1 @@
+TODO need to start working on comments

vegans/discriminator.py

@@ -0,0 +1,10 @@
+import torch.nn as nn
+import torch.nn.functional as F
+import torch
+
+class Discriminator(nn.Module):
+  def __init__(self):
+    super(Discriminator, self).__init__()
+
+  def forward(self):
+    pass

vegans/generator.py

@@ -0,0 +1,10 @@
+import torch.nn as nn
+import torch.nn.functional as F
+import torch
+
+class Generator(nn.Module):
+  def __init__(self):
+    super(Generator, self).__init__()
+
+  def forward(self):
+    pass

vegans/utils.py

@@ -0,0 +1 @@
+

vegans/vegans.py

@@ -0,0 +1 @@
+# initialize vegans