Update README.md

README.md

@@ -102,8 +102,7 @@ BERT Natural Language Outputs:
 
 # 5\. Example usage
 
-This is a minimal-code example of how to use the to classify texts as related to a religion (or none)
-This model is public and doesn't require login to download. Use `snapshot_download` to get the full model, latest version.
+This is a minimal-code example of how to use this model to classify texts as related to a religion (or none). This model is public and doesn't require login to download. Use `snapshot_download` to get the latest version of the full model.
 ```
 repo_id = 'GivingTuesday/religious_org_v1'
 from huggingface_hub import snapshot_download
@@ -152,3 +151,13 @@ for i, result in enumerate(results):
 
 ```
 
+### Output (actual reddit comments):
+```
+Text: 'St. John's Episcopal is a really beautiful community that preaches "faith in action" -- they welcome and assist migrants, partner with community organizations, run a housing first apartment building for unhoused folks, and they are part of the Together Colorado coalition of faith-based organizations that lobbies for anti-poverty legislation. Bonus: the cathedral is gorgeous and historic.'
+Classification Results:
+- Label: Christianity, Score: 0.8822
+
+Text: 'I’m atheist but rehearse in a community choir at Christ Church United Methodist and they have pro LGBTQ+ stuff everywhere. They even do a reconciliation Sunday service every year in June during pride month'
+Classification Results:
+- Label: Christianity, Score: 0.9899
+```