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Runtime error
David
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e1b9a32
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Parent(s):
06881e2
added secrets lib
Browse files- ner_v0_model.ipynb +0 -197
ner_v0_model.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"import gradio as gr\n",
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"import os\n",
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"\n",
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"os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'\n",
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"import requests\n",
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"\n",
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"from spacy import displacy"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"\n",
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"def compute_ner(input_text_message):\n",
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" endpoint_url = 'https://on1m82uknekghqeh.us-east-1.aws.endpoints.huggingface.cloud'\n",
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"\n",
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" headers = {\n",
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" 'Authorization': 'Bearer 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',\n",
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" 'Content-Type': 'application/json',\n",
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" }\n",
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"\n",
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" json_data = {\n",
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" 'inputs': input_text_message,\n",
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" }\n",
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"\n",
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" response = requests.post(endpoint_url, headers=headers, json=json_data)\n",
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"\n",
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" tokens = response.json()\n",
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"\n",
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" entities = []\n",
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"\n",
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" for token in tokens:\n",
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" label = token[\"entity\"]\n",
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"\n",
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" if label == \"I-Observation\" or label == \"B-Observation\":\n",
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" label = \"Observation\"\n",
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" token[\"label\"] = label\n",
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" entities.append(token)\n",
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"\n",
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" if label == \"I-Evaluation\" or label == \"B-Evaluation\":\n",
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" label = \"Evaluation\"\n",
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" token[\"label\"] = label\n",
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" entities.append(token)\n",
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"\n",
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" params = [{\"text\": input_text_message,\n",
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" \"ents\": entities,\n",
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" \"title\": None}]\n",
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"\n",
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" return displacy.render(params, style=\"ent\", manual=True, options={\n",
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" \"colors\": {\n",
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" \"Observation\": \"#9bddff\",\n",
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" \"Evaluation\": \"#f08080\",\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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"examples = ['You are dick',\n",
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" '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",
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"\n",
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"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",
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" outputs=\"html\", examples=examples,)\n",
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"iface.launch(debug=True)"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"endpoint_url = 'https://on1m82uknekghqeh.us-east-1.aws.endpoints.huggingface.cloud'\n",
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"\n",
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"headers = {\n",
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" 'Authorization': 'Bearer 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',\n",
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" 'Content-Type': 'application/json',\n",
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"}\n",
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"\n",
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"json_data = {\n",
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" 'inputs': 'you are dick',\n",
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"}\n",
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"\n",
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"response = requests.post(endpoint_url, headers=headers, json=json_data)\n",
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"\n",
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"tokens = response.json()"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"tokens"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"import spacy\n",
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"from spacy import displacy"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"!python -m spacy download en_core_web_sm"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"\n",
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"text = \"When Sebastian Thrun started working on self-driving cars at Google in 2007, few people outside of the company took him seriously.\"\n",
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"\n",
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"nlp = spacy.load(\"en_core_web_sm\")\n",
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"doc = nlp(text)\n",
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"displacy.serve(doc, style=\"ent\")"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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}
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],
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"metadata": {
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"kernelspec": {
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"name": "torch",
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"language": "python",
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"display_name": "torch"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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