Update README

README.md

@@ -1,37 +1,42 @@
 ---
 title: Perplexity Lenses
-emoji: 🔥
-colorFrom: gray
-colorTo: indigo
+emoji: 🌸
+colorFrom: pink
+colorTo: blue
 sdk: streamlit
 app_file: app.py
 pinned: false
 ---
 
-# Configuration
-
-`title`: _string_  
-Display title for the Space
-
-`emoji`: _string_  
-Space emoji (emoji-only character allowed)
-
-`colorFrom`: _string_  
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`colorTo`: _string_  
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`sdk`: _string_  
-Can be either `gradio` or `streamlit`
-
-`sdk_version` : _string_  
-Only applicable for `streamlit` SDK.  
-See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
-
-`app_file`: _string_  
-Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
-Path is relative to the root of the repository.
-
-`pinned`: _boolean_  
-Whether the Space stays on top of your list.
+# Installation:
+Requires Python >= 3.7 and < 3.10
+```
+pip install -r requirements.txt
+```
+
+# Web App:
+The app is hosted [here](https://huggingface.co/spaces/edugp/perplexity-lenses). To run it locally:  
+```
+python -m streamlit run app.py
+```
+
+# CLI
+The CLI with no arguments defaults to running mc4 in Spanish.  
+For full usage:
+```
+python cli.py --help
+```
+Example: Running on 1000 sentences extracted from Spanish OSCAR docs specifying all arguments:
+```
+python cli.py \
+    --dataset oscar \
+    --dataset-config unshuffled_deduplicated_es \
+    --dataset-split train \
+    --text-column text \
+    --language es \
+    --doc-type sentence \
+    --sample 1000 \
+    --dimensionality-reduction umap \
+    --model-name distiluse-base-multilingual-cased-v1 \
+    --output-file perplexity.html
+```