CLOUD_PORT -> PORT, update MODEL_NAME, remove EventLogger, fix message structures

This commit is contained in:
Matthew Farrellee 2025-06-30 13:31:39 -04:00
parent 417677814c
commit c3479f684c

View file

@ -23,8 +23,6 @@
"import base64\n", "import base64\n",
"import mimetypes\n", "import mimetypes\n",
"from llama_stack_client import LlamaStackClient\n", "from llama_stack_client import LlamaStackClient\n",
"from llama_stack_client.lib.inference.event_logger import EventLogger\n",
"from llama_stack_client.types import UserMessage\n",
"from termcolor import cprint" "from termcolor import cprint"
] ]
}, },
@ -45,8 +43,8 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"HOST = \"localhost\" # Replace with your host\n", "HOST = \"localhost\" # Replace with your host\n",
"CLOUD_PORT = 8321 # Replace with your cloud distro port\n", "PORT = 8321 # Replace with your cloud distro port\n",
"MODEL_NAME='Llama3.2-11B-Vision-Instruct'" "MODEL_NAME='meta-llama/Llama3.2-11B-Vision-Instruct'"
] ]
}, },
{ {
@ -65,11 +63,6 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"import base64\n",
"import mimetypes\n",
"from termcolor import cprint\n",
"from llama_stack_client.lib.inference.event_logger import EventLogger\n",
"\n",
"def encode_image_to_data_url(file_path: str) -> str:\n", "def encode_image_to_data_url(file_path: str) -> str:\n",
" \"\"\"\n", " \"\"\"\n",
" Encode an image file to a data URL.\n", " Encode an image file to a data URL.\n",
@ -103,8 +96,8 @@
" message = {\n", " message = {\n",
" \"role\": \"user\",\n", " \"role\": \"user\",\n",
" \"content\": [\n", " \"content\": [\n",
" {\"image\": {\"uri\": data_url}},\n", " {\"type\": \"image\", \"image\": {\"url\": {\"uri\": data_url}}},\n",
" \"Describe what is in this image.\"\n", " {\"type\": \"text\", \"text\": \"Describe what is in this image.\"}\n",
" ]\n", " ]\n",
" }\n", " }\n",
"\n", "\n",
@ -115,11 +108,13 @@
" stream=stream,\n", " stream=stream,\n",
" )\n", " )\n",
"\n", "\n",
" cprint(f'Assistant> ', color='cyan', end='')\n",
" if not stream:\n", " if not stream:\n",
" cprint(f\"> Response: {response}\", \"cyan\")\n", " cprint(response.completion_message.content, color='yellow')\n",
" else:\n", " else:\n",
" async for log in EventLogger().log(response):\n", " for chunk in response:\n",
" log.print()\n" " cprint(chunk.event.delta.text, color='yellow', end='')\n",
" cprint('')\n"
] ]
}, },
{ {
@ -134,23 +129,10 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": null,
"id": "64d36476-95d7-49f9-a548-312cf8d8c49e", "id": "64d36476-95d7-49f9-a548-312cf8d8c49e",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[32mUser> Sending image for analysis...\u001b[0m\n",
"\u001b[36mAssistant> \u001b[0m\u001b[33mThe\u001b[0m\u001b[33m image\u001b[0m\u001b[33m features\u001b[0m\u001b[33m a\u001b[0m\u001b[33m simple\u001b[0m\u001b[33m,\u001b[0m\u001b[33m mon\u001b[0m\u001b[33moch\u001b[0m\u001b[33mromatic\u001b[0m\u001b[33m line\u001b[0m\u001b[33m drawing\u001b[0m\u001b[33m of\u001b[0m\u001b[33m a\u001b[0m\u001b[33m llama\u001b[0m\u001b[33m,\u001b[0m\u001b[33m with\u001b[0m\u001b[33m the\u001b[0m\u001b[33m words\u001b[0m\u001b[33m \"\u001b[0m\u001b[33mLL\u001b[0m\u001b[33mAMA\u001b[0m\u001b[33m STACK\u001b[0m\u001b[33m\"\u001b[0m\u001b[33m written\u001b[0m\u001b[33m above\u001b[0m\u001b[33m it\u001b[0m\u001b[33m.\u001b[0m\u001b[33m The\u001b[0m\u001b[33m llama\u001b[0m\u001b[33m is\u001b[0m\u001b[33m depicted\u001b[0m\u001b[33m in\u001b[0m\u001b[33m a\u001b[0m\u001b[33m cartoon\u001b[0m\u001b[33mish\u001b[0m\u001b[33m style\u001b[0m\u001b[33m,\u001b[0m\u001b[33m with\u001b[0m\u001b[33m a\u001b[0m\u001b[33m large\u001b[0m\u001b[33m body\u001b[0m\u001b[33m and\u001b[0m\u001b[33m a\u001b[0m\u001b[33m long\u001b[0m\u001b[33m neck\u001b[0m\u001b[33m.\u001b[0m\u001b[33m It\u001b[0m\u001b[33m has\u001b[0m\u001b[33m a\u001b[0m\u001b[33m distinctive\u001b[0m\u001b[33m head\u001b[0m\u001b[33m shape\u001b[0m\u001b[33m,\u001b[0m\u001b[33m with\u001b[0m\u001b[33m a\u001b[0m\u001b[33m small\u001b[0m\u001b[33m circle\u001b[0m\u001b[33m for\u001b[0m\u001b[33m the\u001b[0m\u001b[33m eye\u001b[0m\u001b[33m and\u001b[0m\u001b[33m a\u001b[0m\u001b[33m curved\u001b[0m\u001b[33m line\u001b[0m\u001b[33m for\u001b[0m\u001b[33m the\u001b[0m\u001b[33m mouth\u001b[0m\u001b[33m.\u001b[0m\u001b[33m The\u001b[0m\u001b[33m llama\u001b[0m\u001b[33m's\u001b[0m\u001b[33m body\u001b[0m\u001b[33m is\u001b[0m\u001b[33m composed\u001b[0m\u001b[33m of\u001b[0m\u001b[33m several\u001b[0m\u001b[33m rounded\u001b[0m\u001b[33m shapes\u001b[0m\u001b[33m,\u001b[0m\u001b[33m giving\u001b[0m\u001b[33m it\u001b[0m\u001b[33m a\u001b[0m\u001b[33m soft\u001b[0m\u001b[33m and\u001b[0m\u001b[33m cudd\u001b[0m\u001b[33mly\u001b[0m\u001b[33m appearance\u001b[0m\u001b[33m.\n",
"\n",
"\u001b[0m\u001b[33mThe\u001b[0m\u001b[33m words\u001b[0m\u001b[33m \"\u001b[0m\u001b[33mLL\u001b[0m\u001b[33mAMA\u001b[0m\u001b[33m STACK\u001b[0m\u001b[33m\"\u001b[0m\u001b[33m are\u001b[0m\u001b[33m written\u001b[0m\u001b[33m in\u001b[0m\u001b[33m a\u001b[0m\u001b[33m playful\u001b[0m\u001b[33m,\u001b[0m\u001b[33m handwritten\u001b[0m\u001b[33m font\u001b[0m\u001b[33m above\u001b[0m\u001b[33m the\u001b[0m\u001b[33m llama\u001b[0m\u001b[33m's\u001b[0m\u001b[33m head\u001b[0m\u001b[33m.\u001b[0m\u001b[33m The\u001b[0m\u001b[33m text\u001b[0m\u001b[33m is\u001b[0m\u001b[33m also\u001b[0m\u001b[33m in\u001b[0m\u001b[33m a\u001b[0m\u001b[33m mon\u001b[0m\u001b[33moch\u001b[0m\u001b[33mromatic\u001b[0m\u001b[33m color\u001b[0m\u001b[33m scheme\u001b[0m\u001b[33m,\u001b[0m\u001b[33m matching\u001b[0m\u001b[33m the\u001b[0m\u001b[33m llama\u001b[0m\u001b[33m's\u001b[0m\u001b[33m outline\u001b[0m\u001b[33m.\u001b[0m\u001b[33m The\u001b[0m\u001b[33m background\u001b[0m\u001b[33m of\u001b[0m\u001b[33m the\u001b[0m\u001b[33m image\u001b[0m\u001b[33m is\u001b[0m\u001b[33m a\u001b[0m\u001b[33m solid\u001b[0m\u001b[33m black\u001b[0m\u001b[33m color\u001b[0m\u001b[33m,\u001b[0m\u001b[33m which\u001b[0m\u001b[33m provides\u001b[0m\u001b[33m a\u001b[0m\u001b[33m clean\u001b[0m\u001b[33m and\u001b[0m\u001b[33m simple\u001b[0m\u001b[33m contrast\u001b[0m\u001b[33m to\u001b[0m\u001b[33m the\u001b[0m\u001b[33m llama\u001b[0m\u001b[33m's\u001b[0m\u001b[33m design\u001b[0m\u001b[33m.\n",
"\n",
"\u001b[0m\u001b[33mOverall\u001b[0m\u001b[33m,\u001b[0m\u001b[33m the\u001b[0m\u001b[33m image\u001b[0m\u001b[33m appears\u001b[0m\u001b[33m to\u001b[0m\u001b[33m be\u001b[0m\u001b[33m a\u001b[0m\u001b[33m logo\u001b[0m\u001b[33m or\u001b[0m\u001b[33m icon\u001b[0m\u001b[33m for\u001b[0m\u001b[33m a\u001b[0m\u001b[33m brand\u001b[0m\u001b[33m or\u001b[0m\u001b[33m product\u001b[0m\u001b[33m called\u001b[0m\u001b[33m \"\u001b[0m\u001b[33mL\u001b[0m\u001b[33mlama\u001b[0m\u001b[33m Stack\u001b[0m\u001b[33m.\"\u001b[0m\u001b[33m The\u001b[0m\u001b[33m use\u001b[0m\u001b[33m of\u001b[0m\u001b[33m a\u001b[0m\u001b[33m cartoon\u001b[0m\u001b[33m llama\u001b[0m\u001b[33m and\u001b[0m\u001b[33m a\u001b[0m\u001b[33m playful\u001b[0m\u001b[33m font\u001b[0m\u001b[33m suggests\u001b[0m\u001b[33m a\u001b[0m\u001b[33m l\u001b[0m\u001b[33migh\u001b[0m\u001b[33mthe\u001b[0m\u001b[33mart\u001b[0m\u001b[33med\u001b[0m\u001b[33m and\u001b[0m\u001b[33m humorous\u001b[0m\u001b[33m tone\u001b[0m\u001b[33m,\u001b[0m\u001b[33m while\u001b[0m\u001b[33m the\u001b[0m\u001b[33m mon\u001b[0m\u001b[33moch\u001b[0m\u001b[33mromatic\u001b[0m\u001b[33m color\u001b[0m\u001b[33m scheme\u001b[0m\u001b[33m gives\u001b[0m\u001b[33m the\u001b[0m\u001b[33m image\u001b[0m\u001b[33m a\u001b[0m\u001b[33m clean\u001b[0m\u001b[33m and\u001b[0m\u001b[33m modern\u001b[0m\u001b[33m feel\u001b[0m\u001b[33m.\u001b[0m\u001b[97m\u001b[0m\n"
]
}
],
"source": [ "source": [
"# [Cell 5] - Initialize client and process image\n", "# [Cell 5] - Initialize client and process image\n",
"async def main():\n", "async def main():\n",
@ -184,7 +166,7 @@
"fileUid": "37bbbfda-8e42-446c-89c7-59dd49e2d339", "fileUid": "37bbbfda-8e42-446c-89c7-59dd49e2d339",
"isAdHoc": false, "isAdHoc": false,
"kernelspec": { "kernelspec": {
"display_name": "base", "display_name": "llama-stack",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
@ -198,7 +180,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.12.2" "version": "3.12.11"
} }
}, },
"nbformat": 4, "nbformat": 4,