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Promptify_NER using Cohere Model #118

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198 changes: 198 additions & 0 deletions notebooks/Promptify_NER_Using_Cohere.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"id": "cKxp2N0L7Vsl"
},
"outputs": [],
"source": [
"import json\n",
"\n",
"from promptify import HubModel, Prompter, Pipeline,CohereModel"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"id": "XAdaUXRg7z9z"
},
"outputs": [],
"source": [
"model = CohereModel(model='command',api_key=\"api key\")\n",
"\n",
"prompter = Prompter('ner.jinja') # select a template or provide custom template\n",
"pipe = Pipeline(prompter , model)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0WpJ3BSp9U2e",
"outputId": "8225f9e9-f745-4b7c-830c-1c0923dfce2f"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The patient is a 93-year-old female with a medical history of chronic right hip pain, osteoporosis,hypertension, depression, and chronic atrial fibrillation admitted for evaluation and management of severe nausea and vomiting and urinary tract infection\n"
]
}
],
"source": [
"sent= \"\"\"The patient is a 93-year-old female with a medical history of chronic right hip pain, osteoporosis,hypertension, depression, and chronic atrial fibrillation admitted for evaluation and management of severe nausea and vomiting and urinary tract infection\"\"\"\n",
"print(sent)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "j2qq1w0t74ZK",
"outputId": "a2278abe-d784-4849-8289-d780ff885bfb"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" 0%| | 0/1 [00:00<?, ?it/s]unknown field: parameter model is not a valid field\n",
"100%|██████████| 1/1 [00:02<00:00, 2.71s/it]\n"
]
}
],
"source": [
"# Named Entity Recognition with No labels, no description, no oneshot, no examples\n",
"# Simple prompt with instructions\n",
"# domain name gives more info to model for better result generation, the parameter is optional\n",
"# Output will be python object -> [ {'E' : Entity Name, 'T': Type of Entity } ]\n",
"\n",
"result = pipe.fit(sent,\n",
" domain=\"medical\",labels=None)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "pVHFUewt9Qu6",
"outputId": "e325338b-a9fd-406c-e514-37c1d88f5350"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[{'text': '[{\"T\": \"age\", \"E\": \"93-year-old\"}, {\"T\": \"gender\", \"E\": \"female\"}, {\"T\": \"medical history\", \"E\": \"chronic right hip pain, osteoporosis, hypertension, depression, chronic atrial fibrillation\"}, {\"T\": \"admission_reason\", \"E\": \"evaluation and management of severe nausea and vomiting and urinary tract infection\"}]', 'parsed': {'status': 'completed', 'object_type': <class 'list'>, 'data': {'completion': [{'T': 'age', 'E': '93-year-old'}, {'T': 'gender', 'E': 'female'}, {'T': 'medical history', 'E': 'chronic right hip pain, osteoporosis, hypertension, depression, chronic atrial fibrillation'}, {'T': 'admission_reason', 'E': 'evaluation and management of severe nausea and vomiting and urinary tract infection'}], 'suggestions': []}}}]\n"
]
}
],
"source": [
"print(result)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NsrBpXJzI391"
},
"source": [
"# **output**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "hvRIi-6fCqS-"
},
"outputs": [],
"source": [
"[\n",
" {\n",
" 'text': [\n",
" {\n",
" \"T\": \"age\",\n",
" \"E\": \"93-year-old\"\n",
" },\n",
" {\n",
" \"T\": \"gender\",\n",
" \"E\": \"female\"\n",
" },\n",
" {\n",
" \"T\": \"medical history\",\n",
" \"E\": \"chronic right hip pain, osteoporosis, hypertension, depression, chronic atrial fibrillation\"\n",
" },\n",
" {\n",
" \"T\": \"admission_reason\",\n",
" \"E\": \"evaluation and management of severe nausea and vomiting and urinary tract infection\"\n",
" }\n",
" ],\n",
" 'parsed': {\n",
" 'status': 'completed',\n",
" 'object_type': 'list',\n",
" 'data': {\n",
" 'completion': [\n",
" {\n",
" 'T': 'age',\n",
" 'E': '93-year-old'\n",
" },\n",
" {\n",
" 'T': 'gender',\n",
" 'E': 'female'\n",
" },\n",
" {\n",
" 'T': 'medical history',\n",
" 'E': 'chronic right hip pain, osteoporosis, hypertension, depression, chronic atrial fibrillation'\n",
" },\n",
" {\n",
" 'T': 'admission_reason',\n",
" 'E': 'evaluation and management of severe nausea and vomiting and urinary tract infection'\n",
" }\n",
" ],\n",
" 'suggestions': []\n",
" }\n",
" }\n",
" }\n",
"]\n"
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.8"
}
},
"nbformat": 4,
"nbformat_minor": 4
}