docs: GH pages (#138)

* Update README.md

* fixing image links

Author: softchris

lessons/01-intro-to-genai/README.md

@@ -109,7 +109,7 @@ An elderly gentleman wearing a toga waves at you from the steps of the grand tem
 
 **Dinocrates:** "Welcome, traveler," he says warmly. "I am Dinocrates, architect of this great city. Your arrival was foretold."
 
-**You:** It was? I mean, of course, it was. I'm here to help, I think.
+**You:** It was? I mean, of course, it was. I'm here to help, I think. 
 
 **Dinocrates:** Yes, as I was saying, you've been expected for some time now. We have a task that requires your unique skills.
 

lessons/02-first-ai-app/README.md

@@ -51,7 +51,7 @@ You manage to secure the boat at the dock and start walking along the wooden pla
 As you walk, you notice a man with a long beard and a hat, digging through a crate of what looks like mechanical parts. His hands move deftly, sorting through gears and springs with practiced ease.
 
 
-![Leonardo Da Vinci standing next to a crate in the harbour](/lessons/02-first-ai-app/assets/leonardo.png)
+![Leonardo Da Vinci standing next to a crate in the harbour](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/02-first-ai-app/assets/leonardo.png)
 
 ### Help me, Leonardo
 
@@ -79,7 +79,7 @@ As you walk, you notice a man with a long beard and a hat, digging through a cra
 
 ### At the workshop
 
-![Leonardos workshop](/lessons/02-first-ai-app/assets/leonardo-workshop.png)
+![Leonardos workshop](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/02-first-ai-app/assets/leonardo-workshop.png)
 
 The old man leads you to a large wooden door and you are greeted by the sight of a workshop filled with all sorts of mechanical contraptions. 
 
@@ -120,7 +120,7 @@ If you want to interact with Leonardo, run the [Characters](/app/README.md) app.
 > This is entirely fictional; the responses are generated by AI.
 > [Responsible AI disclaimer](/README.md#responsible-ai-disclaimer)
 
-![Leonardo talks](/lessons/02-first-ai-app/assets/leonardo-talk.jpeg)
+![Leonardo talks](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/02-first-ai-app/assets/leonardo-talk.jpeg)
 
 **Steps**:
 
@@ -403,7 +403,7 @@ This means the majority of tokens can be spent on the input tokens, i.e 128k - 1
 I want you to generate recipes for me.
 ```
 
-![Demo of tokenizer](/lessons/02-first-ai-app/assets/tokenizer.png)
+![Demo of tokenizer](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/02-first-ai-app/assets/tokenizer.png)
 
 Running `tokenizer` on the sentence above gives us 9 tokens.
 
@@ -455,7 +455,7 @@ Leonardo suddenly asked to inspect the Time Beetle closer, he looked at it from
 
 **Time Beetle:** Nothing
 
-![Aerial screw, Leonardo Da Vinci](/lessons/02-first-ai-app/assets/helicopter.jpg)
+![Aerial screw, Leonardo Da Vinci](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/02-first-ai-app/assets/helicopter.jpg)
 
 > [!NOTE]
 >  The aerial screw, also known as the helical air screw, was intended to lift off the ground by compressing air. Leonardo's design featured a large, spiral-shaped rotor made of linen, stiffened with starch, and mounted on a wooden platform. The idea was that a crew of men would run around the platform, turning cranks to rotate the screw rapidly enough to achieve lift 

lessons/02-first-ai-app/translations/README.bn.md

@@ -448,7 +448,7 @@ const completion = await openai.chat.completions.create({
 I want you to generate recipes for me.
 ```
 
-![টোকেনাইজার ডেমো](/lessons/02-first-ai-app/assets/tokenizer.png)
+![টোকেনাইজার ডেমো](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/02-first-ai-app/assets/tokenizer.png)
 
 উপরের বাক্যে **`tokenizer`** চালালে **৯টি টোকেন** পাওয়া যায়।
 

lessons/03-prompt-engineering/README.md

@@ -62,7 +62,7 @@ A swirl of colors envelops the carriage, the world around you dissolving into a
 
 The swirl of colors fades, and you find yourself in the carriage, now racing down the Via Appia in Rome and to your astonishment, you're in the middle of a horse race. Chariots thunder past, their wheels kicking up clouds of dust. 
 
-![Escape from Rome](/lessons/03-prompt-engineering/assets/escape.png)
+![Escape from Rome](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/03-prompt-engineering/assets/escape.png)
 
 **You:** Leonardo, where are we? 
 
@@ -100,7 +100,7 @@ With a final push, the aerial screw begins to spin. The blades catch the air, an
 
 You look out over the city; the ancient buildings stretch out below you.
 
-![Airborne, looks down at the city with feet dangling](/lessons/03-prompt-engineering/assets/airborne.png)
+![Airborne, looks down at the city with feet dangling](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/03-prompt-engineering/assets/airborne.png)
 
 ## Interact with Sforza
 
@@ -110,7 +110,7 @@ If you want to interact with Sforza, run the [Characters](/app/README.md) app.
 > This is entirely fictional; the responses are generated by AI.
 > [Responsible AI disclaimer](/README.md#responsible-ai-disclaimer)
 
-![Ludovico Sforza](/lessons/03-prompt-engineering/assets/ludovico.png)
+![Ludovico Sforza](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/03-prompt-engineering/assets/ludovico.png)
 
 **Steps**:
 

lessons/05-rag/translations/README.bn.md

@@ -176,7 +176,7 @@ _এই ভিডিওটি **Retrieval-Augmented Generation (RAG)** ব্য
 
 ### **একটি RAG সিস্টেম কীভাবে কাজ করে?**  
 
-![RAG সিস্টেমের চিত্র](/lessons/05-rag/assets/rag.png)  
+![RAG সিস্টেমের চিত্র](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/05-rag/assets/rag.png)  
 
 **ধাপে ধাপে কাজ করার পদ্ধতি:**  
 

lessons/06-tool-calling/README.md

@@ -14,7 +14,7 @@ If you haven't already, set up your development environment. Here's how you can
 
 ## Related Resources
 
-[![Integrating with function calling](/lessons/06-tool-calling/assets/11-lesson-banner.png)](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst)
+[![Integrating with function calling](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/06-tool-calling/assets/11-lesson-banner.png)](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst)
 
 _This video explains Tool calling, a method that helps the AI call your functions and thereby expand what it can do_
 
@@ -41,7 +41,7 @@ You: "Who are we talking about and where can I find her?"
 
 The world around you starts to blur, and everything fades to black. You come to and find yourself in the cockpit of a plane. You're airborne, and you can see the ocean below you. There's someone sitting in front; you can only see the back of their neck.
 
-![Amelia piloting a plane](/lessons/06-tool-calling/assets/amelia.jpeg)
+![Amelia piloting a plane](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/06-tool-calling/assets/amelia.jpeg)
 
 **You**: "Amelia, is that you?"
 
@@ -69,7 +69,7 @@ If you want to interact with Ada, run the [Characters](/app/README.md) app.
 > This is entirely fictional; the responses are generated by AI.
 > [Responsible AI disclaimer](/README.md#responsible-ai-disclaimer)
 
-![Ada Lovelace](/lessons/06-tool-calling/assets/amelia-front.jpeg)
+![Ada Lovelace](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/06-tool-calling/assets/amelia-front.jpeg)
 
 **Steps**:
 
@@ -92,7 +92,7 @@ For a more detailed explanation of the app, see [Detailed app explanation](/less
 
 **Time Beetle**: "Here's an image to illustrate the process of tool calling:"
 
-![Tool calling process illustration](/lessons/06-tool-calling/assets/tool_call_langchain.png)
+![Tool calling process illustration](https://raw.githubusercontent.com/microsoft/generative-ai-with-javascript/main/lessons/06-tool-calling/assets/tool_call_langchain.png)
 
 _Image credit Langchain <https://python.langchain.com/docs/concepts/tool_calling/>_