Update README.md

Added setup and running

README.md

@@ -7,11 +7,19 @@ sdk: docker
 pinned: false
 ---
 
-# LanguageWire Technical challenge
+# Technical challenge
 Author: Pau Rodriguez Inserte (@pauri32)
 
 ## Setup and running instructions
-TODO
+You have two options to run the challenge!
+### HuggingFace Space
+1. Just click on the 'App' tab of the HuggingFace space.
+2. Use FastAPI's interactive Swagger UI
+3. Go to ```/language-detection``` endpoint and introduce an input text to identify its language (only available English, French and Spanish)
+4. Go to ```/entity-recognition``` endpoint and introduce an input text to retrieve and count locations, people and organizations named-entities.
+### Download Docker image
+1. You can run it locally by using the following command ```docker run -it -p 7860:7860 --platform=linux/amd64 registry.hf.space/pauri32-llm-challenge:latest```
+2. By opening ```localhost:7860``` in your browser, you will be able to interact with FastAPI's UI.
 
 ## Reasoning of the LLM design choices
 ### Model selected: BloomZ