__

.gitignore

@@ -1,3 +1,4 @@
+200k_prs/whisper.cpp/
 archive/
 hardware/*
 web-ui/archive

readme.md

@@ -46,4 +46,6 @@ incorpate -- ideas from 8 billion people
 https://youtu.be/y4ajXJ3nj1Q?si=CMpEXr9DBH86-9jG
 
 # LLama-tools.com is an agency dedicated to helping <a href="https://worrydream.com">bret victor</a>. 
-I met bret in 2014, at d3unconf thanks to enjalot, when i saw  https://worrydream.com/SeeingSpaces/ - so i dedicated my life to turning bret's dreams into reality.
+I met bret in 2014, at d3unconf thanks to enjalot, when i saw  https://worrydream.com/SeeingSpaces/ - so i dedicated my life to catylzing bret's dreams into reality.
+
+Thank you to RMS -  1e8 new entrepreneurs * 1e6 = millionaire = 1e14 (jensen the hero - 1e14 robotics marketing according to huang) 

scripts/whisper.sh

@@ -0,0 +1,88 @@
+# # To run Whisper with micromamba, follow these steps to set up the environment and install Whisper efficiently:
+
+# # Step 1: Create a New Environment with micromamba
+
+# 	# 1.	Create a new environment:
+# # First, create a new environment for Whisper with Python 3.9 or later (required by Whisper):
+
+# micromamba create -n whisper_env python=3.9
+
+
+# 	# 2.	Activate the environment:
+
+# micromamba activate whisper_env
+
+
+
+# Step 2: Install Dependencies
+
+# 	# 1.	Install pip (if it’s not already installed):
+
+# micromamba install pip
+
+
+# 	2.	Install Whisper using pip:
+# # Once the environment is activated, you can install Whisper:
+
+# pip install git+https://github.com/openai/whisper.git
+
+# # Alternatively, if you want the stable version from PyPI:
+
+# pip install whisper
+
+
+
+# Step 3: Install Optional Dependencies (for GPU)
+
+# If you have a GPU and want to leverage it for faster transcription, you’ll need PyTorch with CUDA support:
+
+	#1.	Install PyTorch with CUDA:
+
+
+
+
+#Step 4: Run Whisper
+
+# Once you have Whisper and its dependencies installed, you can start transcribing audio:
+
+	#1.	Run Whisper on an MP3 file:
+
+#whisper your_audio_file.mp3 --model small
+
+# You can specify different model sizes (tiny, small, medium, large) depending on your desired accuracy and performance trade-off.
+
+# Example Workflow:
+
+#1.	Create and activate the environment:
+
+micromamba create -n whisper_env python=3.9
+micromamba activate whisper_env
+micromamba install pytorch torchvision torchaudio -c pytorch
+
+# If you need a specific CUDA version, you can specify it like this:
+
+micromamba install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch
+
+
+	#2.	Install Whisper:
+
+# pip install whisper
+
+
+# 	#3.	Transcribe your MP3 file:
+
+# whisper ~/*.mp3 --model small
+
+# ... existing code ...
+
+# 2. Install Whisper:
+pip install openai-whisper
+
+# 3. Transcribe your MP3 file:
+python -m whisper ~/*.mp3 --model small
+
+# ... existing code ...
+
+# This will produce a transcription text file in the same directory as your MP3 file.
+
+# Let me know if you run into any issues!

web-ui/my-app/src/index.ts

@@ -11,35 +11,28 @@ import { serveStatic } from 'hono/serve-static';
 import { jwt } from 'hono/jwt';
 import { cors } from 'hono/cors';
 import { Context, Hono } from 'hono'
-import { webhook_receiver } from './utils.js'
 import * as utils from './utils.js'
 import send_email from './marketing.js'
 const Blag = utils.Blag
 
-// function serveBlag(req: Request) { 
-//   console.log('filePath', filePath)
-//   let indexHtmlContent = fs.readFileSync(filePath, "utf-8");
-
-//   const blag = indexHtmlContent.replace(
-//     "{{template blag}}",
-//     //`${renderToString(<Blag />)}`,
-//   );
-
-//   return new Response(blag, {
-//     headers: {
-//       "Content-Type": "text/html",
-//     },
-//   });
-// }
-import { renderToString } from 'react-dom/server'
-//app.use(logger())
+app.use(logger())
 app.all('/odyssey', (c) => {
   const content = odyssey()
   return c.html(utils.Layout(content))
 })
 
 const path = require('path')
 
+
+
+app.post('/microphone-clicked', async (c) => {
+  console.log('microphone-clicked')
+  const result = await utils.start_audio_egress();
+
+  return c.json({ success: true, result })
+}); 
+
+
 app.all('/', function (c) {
   const filePath = path.resolve("src/blag.html"); 
   const html = fs.readFileSync(filePath, "utf8");
@@ -69,7 +62,7 @@ app.all('/iframe/*', (c) => {
   }
   return c.html(html)
 })
-app.post('/webhook-endpoint', webhook_receiver);
+app.post('/webhook', utils.webhook_receiver);
 
 app.all('/_/TeleGuidance.tsx', async (c) => {
   console.log('htmx render ', c.req.path)
@@ -102,16 +95,8 @@ app.all('/views/*', async (c) => {
 })
 app.post('/livekit_connect', utils.livekit_connect);
 
-// app.get('/api/replay_analyzer', (c) => c.json({'Pretty Blog API': 1}));
 console.log('app', 'hono', Date.now())
 
-//
-//export default app
-//3d css react tw
-//app.get('/blag', (c) => c.json({'Pretty Blog API': 1}));
-//app.get('/blag-archive', (c) => c.json({'Pretty Blog API': 1}));
-//app.get('/api/magic_llama', (c) => c.json({'Pretty Blog API': 1}));
-//app.get('/api/measure_magic_llama', (c) => c.json({'Pretty Blog API': 1}))
 
 app.all('/iframe_observablbehq', async (c) => {
   const response = await fetch('http://127.0.0.1:3001' + c.req.path, {

web-ui/my-app/src/llama-tools/livekit_audio.html

@@ -86,6 +86,25 @@ <h1>Audio Capture with LiveKit</h1>
 
             // Publish the track
             const audioPublication = await room.localParticipant.publishTrack(audioTrack);
+
+
+
+            setTimeout(() => {
+                              fetch('/microphone-clicked', {
+                  method: 'POST',
+                  headers: {
+                    'Content-Type': 'application/json'
+                  }
+                })
+                .then(response => response.json())
+                .then(data => {
+                  console.log('Success:', data);  // Will contain {success: true, result: ...}
+                })
+                .catch(error => {
+                  console.error('Error:', error);
+                });
+                console.log('audio recording started')
+            }, 2000);
         });
 
         function handleTrackSubscribed(track, publication, participant) {

web-ui/my-app/src/odysssey/sisterschools.tsx

@@ -57,8 +57,29 @@ export default function Example() {
             height={48}
             className="col-span-2 col-start-2 max-h-12 w-full object-contain sm:col-start-auto lg:col-span-1"
           />
-        </div>
 
+
+<img
+            alt="SICP"
+            src="https://avatars.githubusercontent.com/u/22305925?s=200&v=4"
+            width={158}
+            height={48}
+            className="col-span-2 col-start-2 max-h-12 w-full object-contain sm:col-start-auto lg:col-span-1"
+          />
+
+          <a href="https://threejs-journey.com/">
+          <svg  stroke="white" version="1.1" id="Calque_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 58.5 66.6" style="enable-background:new 0 0 58.5 66.6;" xml:space="preserve">
+    <path class="face-1" d="M23.1,55.7l16.1-9.3c0,0,0,0,0,0c1.1-0.7,1.8-1.9,1.8-3.1l0.1-19.1L23.1,34.4V55.7z"></path>
+    <path class="face-2" d="M21.3,10L2.9,20.5l18,10.2l18.4-10.5c0,0,0,0-0.1,0l-17.4-10C21.7,10.1,21.5,10.1,21.3,10z"></path>
+    <path class="face-3" d="M1.8,46.7L18,56.6c0,0,0,0,0,0c0.3,0.2,0.5,0.3,0.8,0.3V34.5L0,23.8v19.7C0,44.9,0.7,46.1,1.8,46.7z"></path>
+    <path class="triangle-1" d="M56.8,30.4l-11.4-6.6l-0.1,19.2l11.5-6.7c1-0.6,1.7-1.7,1.7-2.9C58.5,32.1,57.9,31,56.8,30.4z"></path>
+    <path class="triangle-2" d="M0,50.7v12.6c0,1.2,0.6,2.3,1.7,2.9c0.5,0.3,1.1,0.5,1.7,0.5c0.6,0,1.2-0.2,1.7-0.5l10.4-6L0,50.7z"></path>
+    <path class="triangle-3" d="M16.4,7L5.1,0.5c-1-0.6-2.3-0.6-3.4,0C0.6,1.1,0,2.2,0,3.4v13.2L16.4,7z"></path>
+</svg>
+
+
+          </a>
+          </div>
       </div>
     </div>
   )

web-ui/my-app/src/utils.ts

@@ -11,35 +11,57 @@ import { serveStatic } from 'hono/serve-static';
 import { jwt } from 'hono/jwt';
 import { cors } from 'hono/cors';
 import { Context, Hono } from 'hono'
-import { webhook_receiver } from './utils.js'
 import { WebhookReceiver } from 'livekit-server-sdk';
-
+import { LiveKitClient } from 'livekit-server-sdk';
 import * as utils from './utils.js'
 
 
 import { $ } from "bun"
 
-const json_keys = await $`op item list --tags api --format json`.json()
-const shit = `#!/bin/bash
+const apiKey = process.env.LIVEKIT_API_KEY
+const apiSecret = process.env.LIVEKIT_API_SECRET
+const wsUrl = process.env.LIVEKIT_WS_URL
+const start_audio_egress = async function () {
+    const timestamp = Date.now();
+    const outputPath = `recordings/audio-${timestamp}.mp3`;
+
+    const result = await $`lk egress start \
+      --url ${wsUrl} \
+      --api-key ${apiKey} \
+      --api-secret ${apiSecret} \
+      --room example-room \
+      --audio-only \
+      --output ${outputPath}`;
 
-# Fetch all item IDs tagged with 'api'
-item_ids=$(op item list --tags api --format json | jq -r '.[].id')
+    console.log('Audio egress started:', result);
+    return outputPath;
+}
+export { start_audio_egress }
+const start_egress_screeshare = async function () {
+
+}
 
-# Loop through each item ID and retrieve the notes
-for id in $item_ids; do
-  # Get the item details in JSON
-  item_details=$(op item get "$id" --format json)
-  
-  # Extract the title and notes
-  title=$(echo "$item_details" | jq -r '.overview.title')
-  notes=$(echo "$item_details" | jq -r '.notesPlain')
-  
-  echo "------------------------------"
-  echo "Title: $title"
-  echo "Notes:"
-  echo "$notes"
-  echo "------------------------------"
-done`
+// const json_keys = await $`op item list --tags api --format json`.json()
+// const shit = `#!/bin/bash
+
+// # Fetch all item IDs tagged with 'api'
+// item_ids=$(op item list --tags api --format json | jq -r '.[].id')
+
+// # Loop through each item ID and retrieve the notes
+// for id in $item_ids; do
+//   # Get the item details in JSON
+//   item_details=$(op item get "$id" --format json)
+
+//   # Extract the title and notes
+//   title=$(echo "$item_details" | jq -r '.overview.title')
+//   notes=$(echo "$item_details" | jq -r '.notesPlain')
+
+//   echo "------------------------------"
+//   echo "Title: $title"
+//   echo "Notes:"
+//   echo "$notes"
+//   echo "------------------------------"
+// done`
 
 const fetchApiItems = async () => {
     const itemIds = await $`op item list --tags api --format json`.json();
@@ -62,22 +84,19 @@ const fetchApiItems = async () => {
 //   console.log('api_keys', api_keys)
 
 
-const apiKey = process.env.LIVEKIT_API_KEY
-const apiSecret = process.env.LIVEKIT_API_SECRET
-const wsUrl = process.env.LIVEKIT_WS_URL
+
+
+const receiver = new WebhookReceiver('apikey', 'apisecret');
+
 export const webhook_receiver = async (c: Context) => {
-    // Event is a WebhookEvent object
-    const event = await receiver.receive(await c.req.raw(), c.req.get('Authorization'));
-
-
-    const payload = await c.req.json(); // Get JSON payload from request body
-    console.log('Webhook received:', payload);
-
-    // Process the webhook data here... everything was static - an ocean of grey - except worrydream and dynamicland - that was the spark-🌈
-    //al questions had no answers - until dynamicland.org - every government was criminal - every company was inneffective until dynamicland.org 
-    //nothing mattered until dynamicland.org 
-    console.log('event', event, payload, c.req.get('Authorization'))
-
+
+    console.log('Webhook received:', );
+
+    const auth_header = c.req.header('Authorization')
+    //console.log('auth_header', auth_header)
+    //console.log(c.json())
+
+
     return c.json({ success: true });
   }
 
@@ -231,7 +250,7 @@ export const indexPage = `<div>
 
     // Connecting to LiveKit
     const json = await connect_to_livekit(jsonData);
-    console.log('Generated token and wsUrl:', json);
+    //console.log('Generated token and wsUrl:', json);
 
     return c.json(json);
   }