Minor changes, typo fixes

README.md

@@ -1,6 +1,8 @@
 # ChillTranslator ⁉️🌐❄️
 
-This is an early experimental tool aimed at reducing online toxicity by automatically 🔄 transforming 🌶️ spicy or toxic comments into constructive, kinder dialogues using AI and large language models. ❄️
+
+This is an early experimental tool aimed at reducing online toxicity by automatically 🔄 transforming 🌶️ spicy or toxic comments into constructive, ❤️ kinder dialogues using AI and large language models. ❄️
+
 
 ChillTranslator aims to foster healthier online interactions. The potential uses of this translator are vast, and exploring its integration could prove invaluable.
 
@@ -16,19 +18,19 @@ Could Reddit, Twitter, Hacker News, or even YouTube comments be more calm and co
 
 - **Converts** text to less toxic variations
 - **Preserves original intent**, focusing on constructive dialogue
-- **Offline LLM model**, running DIY could save costs, avoid needing to signup to APIs, and avoid the risk of toxic content causing API access to be revoked. We use llama-cpp-python's server with Mixtral.
+- **Offline LLM model**: running DIY could save costs, avoid needing to sign up to APIs, and avoid the risk of toxic content causing API access to be revoked. We use llama-cpp-python's server with Mixtral.
 
 
 ## Possible future directions 🌟
 - **Integration**: offer a Python module and HTTP API, for use from other tools, browser extensions.
 - **HuggingFace / Replicate.com etc**: Running this on a fast system, perhaps on a HuggingFace Space could be good.
-- **Speed** improvments.
-    - Split text into sentences e.g: with pysbd for parallel processing of translations.
-    - Use a hate speech scoring model instead of the current "spicy" score method.
-    - Use a dataset of hate speech to make a dataset for traning a translation transformer like Google's T5 to run faster than Mixtral could.
-    - Use natural language similarity techniques to compare possible rephrasing fidelity faster.
-    - Enabling easy experimenting with online hosted LLM APIs
-    - Code refacoring to improve development speed!
+- **Speed** improvements.
+   - Split text into sentences e.g: with “pysbd” for parallel processing of translations.
+   - Use a hate speech scoring model instead of the current "spicy" score method.
+   - Use a dataset of hate speech to make a dataset for training a translation transformer like Google's T5 to run faster than Mixtral could.
+   - Use natural language similarity techniques to compare possible rephrasing fidelity faster.
+   - Enabling easy experimenting with online hosted LLM APIs
+   - Code refactoring to improve development speed!
 
 ## Getting Started 🚀
 
@@ -37,30 +39,30 @@ Could Reddit, Twitter, Hacker News, or even YouTube comments be more calm and co
 1. Download a compatible and capable model like: [Mixtral-8x7B-Instruct-v0.1-GGUF](https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/resolve/main/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf?download=true)
 2. Make sure it's named as expected by the next command.
 3. Install dependencies:
-   ```
-   pip install requests pydantic llama-cpp-python llama-cpp-python[server] --upgrade
-   ```
+  ```
+  pip install requests pydantic llama-cpp-python llama-cpp-python[server] --upgrade
+  ```
 4. Start the LLM server:
-   ```
-   python3 -m llama_cpp.server --model mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf  --port 5834 --n_ctx 4096 --use_mlock false
-   ```
-   These config options are not going to be optimal for a lot of setups, as it may not use GPU right away, but this can be configured with a different argument. Please check out https://llama-cpp-python.readthedocs.io/en/latest/ for more info.
+  ```
+  python3 -m llama_cpp.server --model mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf  --port 5834 --n_ctx 4096 --use_mlock false
+  ```
+  These config options are not going to be optimal for a lot of setups, as it may not use GPU right away, but this can be configured with a different argument. Please check out https://llama-cpp-python.readthedocs.io/en/latest/ for more info.
 
 ### Usage
 
 ChillTranslator currently has an example spicy comment it works on fixing right away.
 This is how to see it in action:
 ```python
-   python3 chill.py
+  python3 chill.py
 ```
 
 ## Contributing 🤝
 
 Contributions are welcome!
-Especially: 
-- pull requests, 
+Especially:
+- pull requests,
 - free GPU credits
-- LLM API credits / access. 
+- LLM API credits / access.
 
 ChillTranslator is released under the MIT License.