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add slm content #586

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merged 3 commits into from
Sep 30, 2024
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add slm content #586

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d853b65
add slm content
kinfey Sep 12, 2024
6ace5fb
fixed link in SLM content
kinfey Sep 12, 2024
6581745
Update README.md
leestott Sep 12, 2024
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331 changes: 331 additions & 0 deletions 19-slm/README.md
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397 changes: 397 additions & 0 deletions 19-slm/python/Phi-3-Vision-Nividia-NIM.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"import requests, base64"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"invoke_url = \"https://ai.api.nvidia.com/v1/vlm/microsoft/phi-3-vision-128k-instruct\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"with open(\"./img/demo.png\", \"rb\") as f:\n",
" image_b64 = base64.b64encode(f.read()).decode()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"len(image_b64)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"assert len(image_b64) < 180_000, \\\n",
" \"To upload larger images, use the assets API (see docs)\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"stream = False"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"headers = {\n",
" \"Authorization\": \"Bearer Your Nvidia NIM API Key\",\n",
" \"Accept\": \"text/event-stream\" if stream else \"application/json\"\n",
"}\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"# payload = {\n",
"# \"messages\": [\n",
"# {\n",
"# \"role\": \"user\",\n",
"# \"content\": f'Tell me what is in the picture <img src=\"data:image/png;base64,{image_b64}\" />'\n",
"# }\n",
"# ],\n",
"# \"max_tokens\": 1024,\n",
"# \"temperature\": 0.6,\n",
"# \"top_p\": 1.0,\n",
"# \"stream\": stream\n",
"# }\n",
"\n",
"payload = {\n",
" \"messages\": [\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": f'Please create Python code for image, and use plt to save the new picture under imgs/ and name it phi-3-vision.jpg. <img src=\"data:image/png;base64,{image_b64}\" />'\n",
" }\n",
" ],\n",
" \"max_tokens\": 1024,\n",
" \"temperature\": 0.6,\n",
" \"top_p\": 1.0,\n",
" \"stream\": stream\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"response = requests.post(invoke_url, headers=headers, json=payload)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"if stream:\n",
" for line in response.iter_lines():\n",
" if line:\n",
" print(line.decode(\"utf-8\"))\n",
"else:\n",
" print(response.json())"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"code = response.json()[\"choices\"][0][\"message\"][\"content\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"code"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"# Find the starting index of the Python code block within the generated code\n",
"# The index function locates the substring '```python' and adds 9 to skip past it\n",
"begin = code.index('```python') + 9\n",
"\n",
"# Slice the code string from the calculated starting index to the end\n",
"# This removes the initial part of the string up to and including '```python'\n",
"code = code[begin:]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"end = code.index('```')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"code = code[:end]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": [
"code"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"polyglot_notebook": {
"kernelName": "csharp"
},
"vscode": {
"languageId": "polyglot-notebook"
}
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": ".NET (C#)",
"language": "C#",
"name": ".net-csharp"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
},
"polyglot_notebook": {
"kernelInfo": {
"defaultKernelName": "csharp",
"items": [
{
"aliases": [],
"name": "csharp"
}
]
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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