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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"import gradio as gr\n",
"import os\n",
"\n",
"os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'\n",
"import requests\n",
"\n",
"from spacy import displacy"
]
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"\n",
"def compute_ner(input_text_message):\n",
" endpoint_url = 'https://on1m82uknekghqeh.us-east-1.aws.endpoints.huggingface.cloud'\n",
"\n",
" headers = {\n",
" 'Authorization': 'Bearer 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',\n",
" 'Content-Type': 'application/json',\n",
" }\n",
"\n",
" json_data = {\n",
" 'inputs': input_text_message,\n",
" }\n",
"\n",
" response = requests.post(endpoint_url, headers=headers, json=json_data)\n",
"\n",
" tokens = response.json()\n",
"\n",
" entities = []\n",
"\n",
" for token in tokens:\n",
" label = token[\"entity\"]\n",
"\n",
" if label == \"I-Observation\" or label == \"B-Observation\":\n",
" label = \"Observation\"\n",
" token[\"label\"] = label\n",
" entities.append(token)\n",
"\n",
" if label == \"I-Evaluation\" or label == \"B-Evaluation\":\n",
" label = \"Evaluation\"\n",
" token[\"label\"] = label\n",
" entities.append(token)\n",
"\n",
" params = [{\"text\": input_text_message,\n",
" \"ents\": entities,\n",
" \"title\": None}]\n",
"\n",
" return displacy.render(params, style=\"ent\", manual=True, options={\n",
" \"colors\": {\n",
" \"Observation\": \"#9bddff\",\n",
" \"Evaluation\": \"#f08080\",\n",
" },\n",
" })\n",
"\n",
"\n",
"examples = ['You are dick',\n",
" 'My dad is an asshole and took his anger out on my mom by verbally abusing her','He eventually moved on to my brother']\n",
"\n",
"iface = gr.Interface(fn=compute_ner, inputs=gr.inputs.Textbox(lines=5, placeholder=\"Enter your text here\",label='Check your text on NVC rules'),\n",
" outputs=\"html\", examples=examples,)\n",
"iface.launch(debug=True)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"endpoint_url = 'https://on1m82uknekghqeh.us-east-1.aws.endpoints.huggingface.cloud'\n",
"\n",
"headers = {\n",
" 'Authorization': 'Bearer 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',\n",
" 'Content-Type': 'application/json',\n",
"}\n",
"\n",
"json_data = {\n",
" 'inputs': 'you are dick',\n",
"}\n",
"\n",
"response = requests.post(endpoint_url, headers=headers, json=json_data)\n",
"\n",
"tokens = response.json()"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"tokens"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"import spacy\n",
"from spacy import displacy"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"!python -m spacy download en_core_web_sm"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"\n",
"text = \"When Sebastian Thrun started working on self-driving cars at Google in 2007, few people outside of the company took him seriously.\"\n",
"\n",
"nlp = spacy.load(\"en_core_web_sm\")\n",
"doc = nlp(text)\n",
"displacy.serve(doc, style=\"ent\")"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
}
],
"metadata": {
"kernelspec": {
"name": "torch",
"language": "python",
"display_name": "torch"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 0
} |