Add automatic version bumping

.bumpversion.cfg

@@ -0,0 +1,6 @@
+[bumpversion]
+current_version = 1.0.1
+commit = True
+tag = True
+
+[bumpversion:file:setup.py]

.github/workflows/publish.yml

@@ -3,11 +3,11 @@ name: Publish to PyPI
 on:
   push:
     branches:
-      - main  # Adjust if your default branch is different
+      - main
 
 jobs:
   publish:
-    name: Publish Python Package
+    name: Bump Version and Publish
     runs-on: ubuntu-latest
 
     steps:
@@ -17,12 +17,16 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v4
         with:
-          python-version: '3.12'
+          python-version: "3.9"
 
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
-          pip install build twine
+          pip install build twine bump2version
+
+      - name: Bump version
+        run: |
+          bump2version patch
 
       - name: Build package
         run: |
@@ -34,3 +38,9 @@ jobs:
           TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
         run: |
           python -m twine upload dist/*
+
+      - name: Push changes back to repository
+        uses: ad-m/github-push-action@v1
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          branch: main

README.md

@@ -9,7 +9,22 @@
 - Easy-to-use interface for text generation
 
 ## Installation
-Ensure you have the required libraries installed:
+### Using `pip`
+You can install `AnyGen` from PyPI:
+```bash
+pip install -U anygen
+```
+
+### From Source
+Clone the repository and install it manually:
+```bash
+git clone https://github.com/macabdul9/AnyGen.git
+cd AnyGen
+pip install .
+```
+
+### Requirements
+Ensure the following libraries are installed:
 ```bash
 pip install transformers google-generativeai requests openai
 ```
@@ -81,7 +96,7 @@ Both OpenAI and Gemini models require an API key stored in a JSON file. Below is
 `openai_keys.json`:
 ```json
 {
-    "gpt-4o-miini": {
+    "gpt-4o-mini": {
         "api_key": "your-openai-api-key",
         "endpoint": "your_endpoint"
     }
@@ -105,7 +120,7 @@ Both OpenAI and Gemini models require an API key stored in a JSON file. Below is
 - `beam_size`: The number of beams to use for beam search.
 
 ## Contributions
-Feel free to submit issues or contribute to this repository!
+Feel free to submit issues and/or contribute to this repository!
 
 ## License
 This project is licensed under the MIT License.

anygen/__init__.py

@@ -0,0 +1 @@
+from .anygen import AnyGen

tests/test_anygen.py

@@ -2,14 +2,14 @@
 from anygen.anygen import AnyGen
 
 def test_anygen():
-    prompt = "Once upon a time, in a land far away"
+    prompt = "Write a Python function to calculate the factorial of a number."
 
     # Test Hugging Face Model
-    # print("Testing Hugging Face Model...")
-    # hf_model_name = "meta-llama/Llama-3.2-1B-Instruct"  # Replace with your Hugging Face model
-    # hf_generator = AnyGen(model_type="huggingface", model_name_or_path=hf_model_name, device="cpu")
-    # hf_output = hf_generator.generate(prompt, parameters=None)
-    # print("Hugging Face Output:", hf_output)
+    print("Testing Hugging Face Model...")
+    hf_model_name = "meta-llama/Llama-3.2-1B-Instruct"  # Replace with your Hugging Face model
+    hf_generator = AnyGen(model_type="huggingface", model_name_or_path=hf_model_name, device="cpu")
+    hf_output = hf_generator.generate(prompt, parameters=None)
+    print("Hugging Face Output:", hf_output)
 
     # Test OpenAI Model
     print("Testing OpenAI Model...")