diff --git a/README.md b/README.md
index 439566d..c3906cf 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
-![Rev Logo](resources/logo_purple.png#gh-light-mode-only)
-![Rev Logo](resources/logo_white.png#gh-dark-mode-only)
+![Rev Logo](https://github.com/revdotcom/reverb/blob/main/resources/logo_purple.png#gh-light-mode-only)
+![Rev Logo](https://github.com/revdotcom/reverb/blob/main/rresources/logo_white.png#gh-dark-mode-only)
 # Reverb
 Open source inference and evaluation code for Rev's state-of-the-art speech recognition and diarization models. The speech recognition (ASR) code uses the [WeNet](https://github.com/wenet-e2e/wenet) framework and the speech diarization code uses the [Pyannote](https://github.com/pyannote/pyannote-audio) framework. More detailed model descriptions can be found in our [blog](https://www.rev.com/blog/speech-to-text-technology/introducing-reverb-open-source-asr-diarization) and the models can be downloaded from [huggingface](https://huggingface.co/Revai).
 
@@ -46,7 +46,12 @@ This codebase is compatible Python 3.10+. To get started, simply run
 ```bash
 pip install .
 ```
-This will install the `reverb` package into your python environment which is a modified version of the [wenet python package](https://github.com/wenet-e2e/wenet/tree/main?tab=readme-ov-file#install-python-package). In order to use `reverb`'s code, make sure you **do not** have another wenet installation in your environment which might cause conflict issues.
+Alternatively, install the latest package on pypi.
+```bash
+pip install rev-reverb
+```
+
+This will install the reverb package into your python environment which is a modified version of the [wenet python package](https://github.com/wenet-e2e/wenet/tree/main?tab=readme-ov-file#install-python-package). In order to use reverb's code, make sure you **do not** have another wenet installation in your environment which might cause conflict issues.
 
 > [!TIP]
 > While we suggest using our CLI or Python package to download the reverb model, you can also download it manually by running:
@@ -98,7 +103,7 @@ reverb = wenet.load_model("reverb_asr_v1")
 output = reverb.transcribe("audio.mp3", format="ctm")
 print(output)
 ```
-All arguments available to the `reverb` command line are also parameters that can be included in the `transcribe` command.
+All arguments available to the reverb command line are also parameters that can be included in the `transcribe` command.
 ```python
 import wenet
 reverb = wenet.load_model("reverb_asr_v1")
diff --git a/pyproject.toml b/pyproject.toml
index 16ef23c..77deb41 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "rev-reverb"
-version = "0.1.0"
+version = "0.1.1"
 dynamic = ["dependencies"]
 requires-python = ">=3.10"
 authors = [
@@ -13,7 +13,7 @@ authors = [
 maintainers = [
   {name = "Rev Speechteam", email = "speechteam@rev.com"},
 ]
-description = "A simplified python packge to interact with the reverb models"
+description = "A simplified python package to interact with the reverb models."
 readme = "README.md"
 license = {file = "LICENSE"}
 keywords = ["asr", "reverb", "rev", "diarization"]
@@ -22,6 +22,10 @@ classifiers = [
   "Programming Language :: Python :: 3.10"
 ]
 
+[project.urls] 
+Huggingface = "https://huggingface.co/Revai"
+GitHub = "https://github.com/revdotcom/reverb/tree/main"
+
 [tool.setuptools.package-dir]
 wenet = "asr/wenet"