Update README.md

README.md

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 <h4>Given a user input, <a href="https://huggingface.co/models/typeform/distilbert-base-uncased-mnlimess">distilbert-base-uncased-mnlimess</a> (Zero-Shot classification model) is used to find the closest action from the available set of actions ("dance","text","fight","run")</h4>
 <p>This WebGL demo demonstrates how you can create smart NPC easily by using <a href="https://huggingface.co/inference-api">🤗 Inference API</a>.</p>
 <p>Find the source code in <a href="https://huggingface.co/spaces/mishig/smarter_npc/tree/main">Files and Versions</a> of this Space. I&#39;ve used Playcanvas (for the WebGL frontend) + Google Cloud Functions (for the backend). </p>
-<p>Find the PlayCanvas project <a href="https://playcanvas.com/project/833000/overview/smarter-npc-public">here</a></p>
-<p>Find the cloud function <a href="https://huggingface.co/spaces/mishig/smarter_npc/blob/main/cloud_function.py">here</a></p>
+<p>Find the PlayCanvas project <a href="https://playcanvas.com/project/832033/overview/smarter-npc">here</a></p>
 <div style="max-width: 100%;max-height: 100%;width: 100vw;height: 100vh;overflow: hidden;">
   <iframe style="min-width: 100%; min-height: 100%; background: black;" allowfullscreen="true" frameborder="0" src="https://playcanv.as/p/d3jMhnMm">></iframe>
 </div>