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Update audio templates (#14)
* Updating the audio templates and aligning them with our key scenarions in AI Studio. * Updated content_extraction to reflect our hero scenario for callcenter analytics which also contains the most output results from content understanding to ensure best presentation of our audio processing capability.
1 parent e4a3633 commit 5752956

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‎analyzer_templates/audio_transcript.json renamed to ‎analyzer_templates/audio_transcription.json

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{
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"scenario": "conversation",
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"description": "Sample audio transcript analyzer",
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"description": "Sample audio transcription",
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"config": {
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"returnDetails": true,
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"locales": ["en-US"]

‎analyzer_templates/call_recording_analytics.json

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{
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"description": "Sample call recording analytics",
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"scenario": "callCenter",
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"config": {
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"returnDetails": true,
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"locales": ["en-US"]
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},
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"fieldSchema": {
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"fields": {
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"Summary": {
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"type": "string",
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"method": "generate",
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"description": "A one-paragraph summary"
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},
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"Topics": {
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"type": "array",
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"method": "generate",
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"description": "Top 5 topics mentioned",
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"items": {
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"type": "string"
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}
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},
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"Companies": {
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"type": "array",
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"method": "generate",
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"description": "List of companies mentioned",
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"items": {
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"type": "string"
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}
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},
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"People": {
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"type": "array",
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"method": "generate",
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"description": "List of people mentioned",
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"items": {
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"type": "object",
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"properties": {
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"Name": {
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"type": "string",
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"description": "Person's name"
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},
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"Role": {
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"type": "string",
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"description": "Person's title/role"
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}
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}
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}
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},
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"Sentiment": {
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"type": "string",
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"method": "classify",
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"description": "Overall sentiment",
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"enum": [
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"Positive",
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"Neutral",
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"Negative"
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]
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},
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"Categories": {
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"type": "array",
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"method": "classify",
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"description": "List of relevant categories",
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"items": {
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"type": "string",
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"enum": [
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"Agriculture",
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"Business",
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"Finance",
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"Health",
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"Insurance",
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"Mining",
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"Pharmaceutical",
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"Retail",
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"Technology",
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"Transportation"
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]
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}
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}
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}
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}
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}

‎analyzer_templates/call_transcript.json

-32
This file was deleted.

‎analyzer_templates/conversational_audio_analytics.json

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{
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"scenario": "conversation",
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"description": "Sample conversational audio analytics",
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"config": {
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"returnDetails": true,
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"locales": ["en-US"]
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},
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"fieldSchema": {
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"fields": {
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"Summary": {
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"type": "string",
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"method": "generate",
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"description": "A one-paragraph summary"
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},
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"Sentiment": {
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"type": "string",
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"method": "classify",
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"description": "Overall sentiment",
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"enum": [
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"Positive",
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"Neutral",
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"Negative"
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]
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}
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}
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}
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}

‎notebooks/content_extraction.ipynb

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@@ -92,53 +92,7 @@
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:python.content_understanding_client:Analyzer content-doc-sample-f79b4605-4990-4788-ba6a-47d55d244212 create request accepted.\n",
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"INFO:python.content_understanding_client:Request result is ready after 0.00 seconds.\n",
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"INFO:python.content_understanding_client:Analyzing file ../data/purchase_order.jpg with analyzer: content-doc-sample-f79b4605-4990-4788-ba6a-47d55d244212\n",
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"INFO:python.content_understanding_client:Request 6c1f5fea-8f2e-423b-afbe-cd35872379f6 in progress ...\n",
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"INFO:python.content_understanding_client:Request 6c1f5fea-8f2e-423b-afbe-cd35872379f6 in progress ...\n",
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"INFO:python.content_understanding_client:Request result is ready after 4.56 seconds.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{\n",
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" \"id\": \"6c1f5fea-8f2e-423b-afbe-cd35872379f6\",\n",
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" \"status\": \"Succeeded\",\n",
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" \"result\": {\n",
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" \"analyzerId\": \"content-doc-sample-f79b4605-4990-4788-ba6a-47d55d244212\",\n",
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" \"apiVersion\": \"2024-12-01-preview\",\n",
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" \"createdAt\": \"2024-12-10T23:29:52Z\",\n",
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" \"warnings\": [],\n",
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" \"contents\": [\n",
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" {\n",
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" \"markdown\": \"Purchase Order\\n\\n\\n# Hero Limited\\n\\nCompany Phone: 555-348-6512\\nWebsite: www.herolimited.com\\nEmail:\\[email protected]\\n\\nPurchase Order\\n\\nDated As: 12/20/2020\\nPurchase Order #: 948284\\n\\nShipped To\\n\\nVendor Name: Hillary Swank\\nCompany Name: Higgly Wiggly Books\\nAddress: 938 NE Burner Road\\nBoulder City, CO 92848\\nPhone: 938-294-2949\\n\\nShipped From\\n\\nName: Bernie Sanders\\nCompany Name: Jupiter Book Supply\\nAddress: 383 N Kinnick Road\\nSeattle, WA 38383\\n\\nPhone: 932-299-0292\\n\\n\\n<table>\\n<tr>\\n<th>Details</th>\\n<th>Quantity</th>\\n<th>Unit Price</th>\\n<th>Total</th>\\n</tr>\\n<tr>\\n<td>Bindings</td>\\n<td>20</td>\\n<td>1.00</td>\\n<td>20.00</td>\\n</tr>\\n<tr>\\n<td>Covers Small</td>\\n<td>20</td>\\n<td>1.00</td>\\n<td>20.00</td>\\n</tr>\\n<tr>\\n<td>Feather Bookmark</td>\\n<td>20</td>\\n<td>5.00</td>\\n<td>100.00</td>\\n</tr>\\n<tr>\\n<td>Copper Swirl Marker</td>\\n<td>20</td>\\n<td>5.00</td>\\n<td>100.00</td>\\n</tr>\\n</table>\\n\\n\\n<table>\\n<tr>\\n<td>SUBTOTAL</td>\\n<td>$140.00</td>\\n</tr>\\n<tr>\\n<td>TAX</td>\\n<td>$4.00</td>\\n</tr>\\n<tr>\\n<td>TOTAL</td>\\n<td>$144.00</td>\\n</tr>\\n</table>\\n\\n\\nBernie Sanders\\n\\nBernie Sanders\\nManager\\n\\nAdditional Notes:\\n\\nDo not Jostle Box. Unpack carefully. Enjoy.\\n\\nJupiter Book Supply will refund you 50% per book if returned within 60 days of reading and\\n\\noffer you 25% off you next total purchase.\\n\",\n",
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" \"kind\": \"document\",\n",
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" \"startPageNumber\": 1,\n",
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" \"endPageNumber\": 1,\n",
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" \"unit\": \"pixel\",\n",
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" \"pages\": [\n",
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" {\n",
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" \"pageNumber\": 1,\n",
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" \"angle\": 0.05652412,\n",
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" \"width\": 1700,\n",
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" \"height\": 2200\n",
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" }\n",
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" ]\n",
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" }\n",
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" ]\n",
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" }\n",
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"}\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"ANALYZER_ID = \"content-doc-sample-\" + str(uuid.uuid4())\n",
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"ANALYZER_TEMPLATE_FILE = '../analyzer_templates/content_document.json'\n",
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"outputs": [],
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"source": [
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"ANALYZER_ID = \"content-audio-sample-\" + str(uuid.uuid4())\n",
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"ANALYZER_TEMPLATE_FILE = '../analyzer_templates/audio_transcript.json'\n",
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"ANALYZER_SAMPLE_FILE = '../data/audio.wav'\n",
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"ANALYZER_TEMPLATE_FILE = '../analyzer_templates/call_recording_analytics.json'\n",
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"ANALYZER_SAMPLE_FILE = '../data/callCenterRecording.mp3'\n",
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"\n",
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"# Create analyzer\n",
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"response = client.begin_create_analyzer(ANALYZER_ID, analyzer_template_path=ANALYZER_TEMPLATE_FILE)\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.11"
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"version": "3.11.10"
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}
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},
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"nbformat": 4,

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