updated README

README.md

@@ -1,19 +1,8 @@
-# Building A Finetuning Machine Using Chainlit
-
-Today we'll take a look at how we can wrap our finetuning process into Chainlit and have our own dynamic fine-tuning machine. 
-
-We'll be leveraging [this](https://github.com/AI-Maker-Space/LLM-Ops-Cohort-1/blob/main/Week%202/Thursday/Automated%20Fine-tuning%20with%20LLamaIndex.ipynb) notebook for finetuning.
-
-Find worked-out notebook at this [repo](https://github.com/PanoEvJ/LLMOps/tree/main/Week%202/Thursday).
-
-# Build 🏗️
-There are 2 main tasks for this assignment:
-
-- Verify you can run the notebook
-- Wrap the notebook using Chainlit
-
-# Ship 🚢
-Construct a Chainlit application using the notebook that allows users to interface with the application.
-
-# Share 🚀
-Make a social media post about your final application and tag @AIMakerspace
+title: Barbie RAQA Application Chainlit Demo
+emoji: 🔥
+colorFrom: red
+colorTo: red
+sdk: docker
+pinned: false
+license: apache-2.0
+duplicated_from: ai-maker-space/Barbie-RAQA-Application-Chainlit-Demo