Spaces:
Runtime error
Runtime error
Carlos Salgado
commited on
Commit
·
16c1bbd
1
Parent(s):
f3f79d9
add notebooks, rename and polish generate_metadata.py
Browse files- backend/generate_metadata.py +16 -26
- notebooks/preprocess_dataset.ipynb +467 -0
- notebooks/vectarize.ipynb +239 -0
backend/generate_metadata.py
CHANGED
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@@ -9,29 +9,8 @@ from langchain_community.document_loaders import UnstructuredPDFLoader
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from langchain_community.embeddings.fake import FakeEmbeddings
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from langchain_text_splitters import RecursiveCharacterTextSplitter
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from langchain_community.vectorstores import Vectara
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-
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from backend.schema import Metadata, BimDiscipline
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-
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load_dotenv()
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vectara_customer_id = os.environ['VECTARA_CUSTOMER_ID']
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vectara_corpus_id = os.environ['VECTARA_CORPUS_ID']
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vectara_api_key = os.environ['VECTARA_API_KEY']
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vectorstore = Vectara(vectara_customer_id=vectara_customer_id,
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vectara_corpus_id=vectara_corpus_id,
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vectara_api_key=vectara_api_key)
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prompt_template = """
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BimDiscipline = ['plumbing', 'network', 'heating', 'electrical', 'ventilation', 'architecture']
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You are a helpful assistant that understands BIM documents and engineering disciplines. Your answer should be in JSON format and only include the title, a brief one-sentence summary, and the discipline the document belongs to, distinguishing between {[d.value for d in BimDiscipline]} based on the given document."
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Analyze the provided document, which could be in either German or English. Extract the title, summarize it briefly in one sentence, and infer the discipline. Document:
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context="
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"""
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def ingest(file_path):
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extension = file_path.split('.')[-1]
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@@ -63,18 +42,29 @@ def ingest(file_path):
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return docs
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-
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# plain text
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context = "".join(
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[doc.page_content.replace('\n\n','').replace('..','') for doc in docs])
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prompt = f'{prompt_template}{context}"'
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# Create client
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client = openai.OpenAI(
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base_url="https://api.together.xyz/v1",
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api_key=os.environ["TOGETHER_API_KEY"],
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)
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# Call the LLM with the JSON schema
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@@ -91,8 +81,8 @@ def extract_metadata(docs):
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}
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]
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)
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-
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return json.loads(chat_completion.choices[0].message.content)
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if __name__ == "__main__":
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@@ -107,5 +97,5 @@ if __name__ == "__main__":
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sys.exit(-1)
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docs = ingest(args.document)
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-
metadata =
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print(metadata)
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from langchain_community.embeddings.fake import FakeEmbeddings
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from langchain_text_splitters import RecursiveCharacterTextSplitter
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load_dotenv()
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def ingest(file_path):
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extension = file_path.split('.')[-1]
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return docs
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+
def generate_metadata(docs):
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prompt_template = """
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BimDiscipline = ['plumbing', 'network', 'heating', 'electrical', 'ventilation', 'architecture']
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You are a helpful assistant that understands BIM documents and engineering disciplines. Your answer should be in JSON format and only include the filename, a short description, and the engineering discipline the document belongs to, distinguishing between {[d.value for d in BimDiscipline]} based on the given document."
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+
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Analyze the provided document, which could be in either German or English. Extract the filename, its description, and infer the engineering discipline it belongs to. Document:
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context="
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"""
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# plain text
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filepath = [doc.metadata for doc in docs][0]['source']
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context = "".join(
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[doc.page_content.replace('\n\n','').replace('..','') for doc in docs])
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prompt = f'{prompt_template}{context}"\nFilepath:{filepath}'
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#print(prompt)
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# Create client
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client = openai.OpenAI(
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base_url="https://api.together.xyz/v1",
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api_key=os.environ["TOGETHER_API_KEY"],
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#api_key=userdata.get('TOGETHER_API_KEY'),
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)
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# Call the LLM with the JSON schema
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}
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]
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)
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+
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return json.loads(chat_completion.choices[0].message.content)
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if __name__ == "__main__":
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sys.exit(-1)
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docs = ingest(args.document)
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metadata = generate_metadata(docs)
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print(metadata)
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notebooks/preprocess_dataset.ipynb
ADDED
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@@ -0,0 +1,467 @@
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| 1 |
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{
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"cells": [
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{
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"cell_type": "code",
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| 5 |
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"execution_count": 106,
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"metadata": {
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| 7 |
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"id": "f-ERaM64ONeC"
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},
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| 9 |
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"outputs": [],
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"source": [
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"# preprocess csv\n",
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"import pandas as pd\n",
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"filename = '/content/U3_Metadaten.csv'\n",
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"df = pd.read_csv(filename, on_bad_lines='skip')"
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]
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| 16 |
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},
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{
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"cell_type": "code",
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| 19 |
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"execution_count": 118,
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"metadata": {
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| 21 |
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"colab": {
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| 22 |
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"base_uri": "https://localhost:8080/",
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| 23 |
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"height": 424
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},
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"id": "AYxRURTvQiFb",
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| 26 |
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"outputId": "18bf4139-47ac-4939-e635-9f09f560200c"
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},
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"outputs": [
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| 29 |
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{
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"data": {
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| 31 |
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"application/vnd.google.colaboratory.intrinsic+json": {
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| 32 |
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"summary": "{\n \"name\": \"clean_df\",\n \"rows\": 158,\n \"fields\": [\n {\n \"column\": \"Name\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 158,\n \"samples\": [\n \"ISB-020-U3-W-R-01-B17012-028-000\",\n \"ISB-020-U3-W-L-01-B15100-018-000\",\n \"ISB-020-U3-W-R-01-B17012-034-000\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Beschreibung\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 40,\n \"samples\": [\n \"Foto\",\n \"Bodenheizung / Ventileinstellung / FBH AB PM\",\n \"Foto - Novocon S demontiert und Stellenantriebe montiert!\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Disziplin\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"D - Datennetz\",\n \"E - Elektroanlagen\",\n \"S - Sanitaer\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
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| 33 |
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"type": "dataframe",
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"variable_name": "clean_df"
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| 35 |
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},
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"text/html": [
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| 37 |
+
"\n",
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| 38 |
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" <div id=\"df-3f4ad131-d55b-46a5-8dff-6fa3e12c15b0\" class=\"colab-df-container\">\n",
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| 39 |
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" <div>\n",
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| 40 |
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"<style scoped>\n",
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| 41 |
+
" .dataframe tbody tr th:only-of-type {\n",
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| 42 |
+
" vertical-align: middle;\n",
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| 43 |
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" }\n",
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| 44 |
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"\n",
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| 45 |
+
" .dataframe tbody tr th {\n",
|
| 46 |
+
" vertical-align: top;\n",
|
| 47 |
+
" }\n",
|
| 48 |
+
"\n",
|
| 49 |
+
" .dataframe thead th {\n",
|
| 50 |
+
" text-align: right;\n",
|
| 51 |
+
" }\n",
|
| 52 |
+
"</style>\n",
|
| 53 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
| 54 |
+
" <thead>\n",
|
| 55 |
+
" <tr style=\"text-align: right;\">\n",
|
| 56 |
+
" <th></th>\n",
|
| 57 |
+
" <th>Name</th>\n",
|
| 58 |
+
" <th>Beschreibung</th>\n",
|
| 59 |
+
" <th>Disziplin</th>\n",
|
| 60 |
+
" </tr>\n",
|
| 61 |
+
" </thead>\n",
|
| 62 |
+
" <tbody>\n",
|
| 63 |
+
" <tr>\n",
|
| 64 |
+
" <th>0</th>\n",
|
| 65 |
+
" <td>ISB-020-U3-W-D-01-B07005-001-000</td>\n",
|
| 66 |
+
" <td>Bauarten und Stuecknachweis SGK</td>\n",
|
| 67 |
+
" <td>D - Datennetz</td>\n",
|
| 68 |
+
" </tr>\n",
|
| 69 |
+
" <tr>\n",
|
| 70 |
+
" <th>1</th>\n",
|
| 71 |
+
" <td>ISB-020-U3-W-D-01-B07005-002-000</td>\n",
|
| 72 |
+
" <td>Bauarten und Stuecknachweis SGK</td>\n",
|
| 73 |
+
" <td>D - Datennetz</td>\n",
|
| 74 |
+
" </tr>\n",
|
| 75 |
+
" <tr>\n",
|
| 76 |
+
" <th>2</th>\n",
|
| 77 |
+
" <td>ISB-020-U3-W-D-01-B07005-003-000</td>\n",
|
| 78 |
+
" <td>Pruefprotokoll nach DIN EN 61439-1/3</td>\n",
|
| 79 |
+
" <td>D - Datennetz</td>\n",
|
| 80 |
+
" </tr>\n",
|
| 81 |
+
" <tr>\n",
|
| 82 |
+
" <th>3</th>\n",
|
| 83 |
+
" <td>ISB-020-U3-W-D-01-B07005-004-000</td>\n",
|
| 84 |
+
" <td>Pruefprotokoll nach DIN EN 61439-1/3</td>\n",
|
| 85 |
+
" <td>D - Datennetz</td>\n",
|
| 86 |
+
" </tr>\n",
|
| 87 |
+
" <tr>\n",
|
| 88 |
+
" <th>4</th>\n",
|
| 89 |
+
" <td>ISB-020-U3-W-D-01-B18012-001-000</td>\n",
|
| 90 |
+
" <td>Sicherungslegende G-020 U3 779-AS 1</td>\n",
|
| 91 |
+
" <td>D - Datennetz</td>\n",
|
| 92 |
+
" </tr>\n",
|
| 93 |
+
" <tr>\n",
|
| 94 |
+
" <th>...</th>\n",
|
| 95 |
+
" <td>...</td>\n",
|
| 96 |
+
" <td>...</td>\n",
|
| 97 |
+
" <td>...</td>\n",
|
| 98 |
+
" </tr>\n",
|
| 99 |
+
" <tr>\n",
|
| 100 |
+
" <th>153</th>\n",
|
| 101 |
+
" <td>ISB-020-U3-W-S-01-B17012-008-000</td>\n",
|
| 102 |
+
" <td>Foto</td>\n",
|
| 103 |
+
" <td>S - Sanitaer</td>\n",
|
| 104 |
+
" </tr>\n",
|
| 105 |
+
" <tr>\n",
|
| 106 |
+
" <th>159</th>\n",
|
| 107 |
+
" <td>ISB-020-U3-W-S-01-B17012-010-000</td>\n",
|
| 108 |
+
" <td>Foto</td>\n",
|
| 109 |
+
" <td>S - Sanitaer</td>\n",
|
| 110 |
+
" </tr>\n",
|
| 111 |
+
" <tr>\n",
|
| 112 |
+
" <th>160</th>\n",
|
| 113 |
+
" <td>ISB-020-U3-W-S-01-B17012-011-000</td>\n",
|
| 114 |
+
" <td>Foto</td>\n",
|
| 115 |
+
" <td>S - Sanitaer</td>\n",
|
| 116 |
+
" </tr>\n",
|
| 117 |
+
" <tr>\n",
|
| 118 |
+
" <th>161</th>\n",
|
| 119 |
+
" <td>ISB-020-U3-W-S-01-B18003-001-020</td>\n",
|
| 120 |
+
" <td>Schieber / Hawle / Schieber 4000 + Handrad 780...</td>\n",
|
| 121 |
+
" <td>S - Sanitaer</td>\n",
|
| 122 |
+
" </tr>\n",
|
| 123 |
+
" <tr>\n",
|
| 124 |
+
" <th>162</th>\n",
|
| 125 |
+
" <td>ISB-020-U3-W-S-01-B19009-001-020</td>\n",
|
| 126 |
+
" <td>Schieber / Hawle / 4000 Schutzraum</td>\n",
|
| 127 |
+
" <td>S - Sanitaer</td>\n",
|
| 128 |
+
" </tr>\n",
|
| 129 |
+
" </tbody>\n",
|
| 130 |
+
"</table>\n",
|
| 131 |
+
"<p>158 rows × 3 columns</p>\n",
|
| 132 |
+
"</div>\n",
|
| 133 |
+
" <div class=\"colab-df-buttons\">\n",
|
| 134 |
+
"\n",
|
| 135 |
+
" <div class=\"colab-df-container\">\n",
|
| 136 |
+
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3f4ad131-d55b-46a5-8dff-6fa3e12c15b0')\"\n",
|
| 137 |
+
" title=\"Convert this dataframe to an interactive table.\"\n",
|
| 138 |
+
" style=\"display:none;\">\n",
|
| 139 |
+
"\n",
|
| 140 |
+
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
|
| 141 |
+
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
|
| 142 |
+
" </svg>\n",
|
| 143 |
+
" </button>\n",
|
| 144 |
+
"\n",
|
| 145 |
+
" <style>\n",
|
| 146 |
+
" .colab-df-container {\n",
|
| 147 |
+
" display:flex;\n",
|
| 148 |
+
" gap: 12px;\n",
|
| 149 |
+
" }\n",
|
| 150 |
+
"\n",
|
| 151 |
+
" .colab-df-convert {\n",
|
| 152 |
+
" background-color: #E8F0FE;\n",
|
| 153 |
+
" border: none;\n",
|
| 154 |
+
" border-radius: 50%;\n",
|
| 155 |
+
" cursor: pointer;\n",
|
| 156 |
+
" display: none;\n",
|
| 157 |
+
" fill: #1967D2;\n",
|
| 158 |
+
" height: 32px;\n",
|
| 159 |
+
" padding: 0 0 0 0;\n",
|
| 160 |
+
" width: 32px;\n",
|
| 161 |
+
" }\n",
|
| 162 |
+
"\n",
|
| 163 |
+
" .colab-df-convert:hover {\n",
|
| 164 |
+
" background-color: #E2EBFA;\n",
|
| 165 |
+
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 166 |
+
" fill: #174EA6;\n",
|
| 167 |
+
" }\n",
|
| 168 |
+
"\n",
|
| 169 |
+
" .colab-df-buttons div {\n",
|
| 170 |
+
" margin-bottom: 4px;\n",
|
| 171 |
+
" }\n",
|
| 172 |
+
"\n",
|
| 173 |
+
" [theme=dark] .colab-df-convert {\n",
|
| 174 |
+
" background-color: #3B4455;\n",
|
| 175 |
+
" fill: #D2E3FC;\n",
|
| 176 |
+
" }\n",
|
| 177 |
+
"\n",
|
| 178 |
+
" [theme=dark] .colab-df-convert:hover {\n",
|
| 179 |
+
" background-color: #434B5C;\n",
|
| 180 |
+
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
| 181 |
+
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
| 182 |
+
" fill: #FFFFFF;\n",
|
| 183 |
+
" }\n",
|
| 184 |
+
" </style>\n",
|
| 185 |
+
"\n",
|
| 186 |
+
" <script>\n",
|
| 187 |
+
" const buttonEl =\n",
|
| 188 |
+
" document.querySelector('#df-3f4ad131-d55b-46a5-8dff-6fa3e12c15b0 button.colab-df-convert');\n",
|
| 189 |
+
" buttonEl.style.display =\n",
|
| 190 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 191 |
+
"\n",
|
| 192 |
+
" async function convertToInteractive(key) {\n",
|
| 193 |
+
" const element = document.querySelector('#df-3f4ad131-d55b-46a5-8dff-6fa3e12c15b0');\n",
|
| 194 |
+
" const dataTable =\n",
|
| 195 |
+
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
| 196 |
+
" [key], {});\n",
|
| 197 |
+
" if (!dataTable) return;\n",
|
| 198 |
+
"\n",
|
| 199 |
+
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
| 200 |
+
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
| 201 |
+
" + ' to learn more about interactive tables.';\n",
|
| 202 |
+
" element.innerHTML = '';\n",
|
| 203 |
+
" dataTable['output_type'] = 'display_data';\n",
|
| 204 |
+
" await google.colab.output.renderOutput(dataTable, element);\n",
|
| 205 |
+
" const docLink = document.createElement('div');\n",
|
| 206 |
+
" docLink.innerHTML = docLinkHtml;\n",
|
| 207 |
+
" element.appendChild(docLink);\n",
|
| 208 |
+
" }\n",
|
| 209 |
+
" </script>\n",
|
| 210 |
+
" </div>\n",
|
| 211 |
+
"\n",
|
| 212 |
+
"\n",
|
| 213 |
+
"<div id=\"df-518b8ddb-11a0-49a2-8903-71e4063ca189\">\n",
|
| 214 |
+
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-518b8ddb-11a0-49a2-8903-71e4063ca189')\"\n",
|
| 215 |
+
" title=\"Suggest charts\"\n",
|
| 216 |
+
" style=\"display:none;\">\n",
|
| 217 |
+
"\n",
|
| 218 |
+
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
| 219 |
+
" width=\"24px\">\n",
|
| 220 |
+
" <g>\n",
|
| 221 |
+
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
| 222 |
+
" </g>\n",
|
| 223 |
+
"</svg>\n",
|
| 224 |
+
" </button>\n",
|
| 225 |
+
"\n",
|
| 226 |
+
"<style>\n",
|
| 227 |
+
" .colab-df-quickchart {\n",
|
| 228 |
+
" --bg-color: #E8F0FE;\n",
|
| 229 |
+
" --fill-color: #1967D2;\n",
|
| 230 |
+
" --hover-bg-color: #E2EBFA;\n",
|
| 231 |
+
" --hover-fill-color: #174EA6;\n",
|
| 232 |
+
" --disabled-fill-color: #AAA;\n",
|
| 233 |
+
" --disabled-bg-color: #DDD;\n",
|
| 234 |
+
" }\n",
|
| 235 |
+
"\n",
|
| 236 |
+
" [theme=dark] .colab-df-quickchart {\n",
|
| 237 |
+
" --bg-color: #3B4455;\n",
|
| 238 |
+
" --fill-color: #D2E3FC;\n",
|
| 239 |
+
" --hover-bg-color: #434B5C;\n",
|
| 240 |
+
" --hover-fill-color: #FFFFFF;\n",
|
| 241 |
+
" --disabled-bg-color: #3B4455;\n",
|
| 242 |
+
" --disabled-fill-color: #666;\n",
|
| 243 |
+
" }\n",
|
| 244 |
+
"\n",
|
| 245 |
+
" .colab-df-quickchart {\n",
|
| 246 |
+
" background-color: var(--bg-color);\n",
|
| 247 |
+
" border: none;\n",
|
| 248 |
+
" border-radius: 50%;\n",
|
| 249 |
+
" cursor: pointer;\n",
|
| 250 |
+
" display: none;\n",
|
| 251 |
+
" fill: var(--fill-color);\n",
|
| 252 |
+
" height: 32px;\n",
|
| 253 |
+
" padding: 0;\n",
|
| 254 |
+
" width: 32px;\n",
|
| 255 |
+
" }\n",
|
| 256 |
+
"\n",
|
| 257 |
+
" .colab-df-quickchart:hover {\n",
|
| 258 |
+
" background-color: var(--hover-bg-color);\n",
|
| 259 |
+
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 260 |
+
" fill: var(--button-hover-fill-color);\n",
|
| 261 |
+
" }\n",
|
| 262 |
+
"\n",
|
| 263 |
+
" .colab-df-quickchart-complete:disabled,\n",
|
| 264 |
+
" .colab-df-quickchart-complete:disabled:hover {\n",
|
| 265 |
+
" background-color: var(--disabled-bg-color);\n",
|
| 266 |
+
" fill: var(--disabled-fill-color);\n",
|
| 267 |
+
" box-shadow: none;\n",
|
| 268 |
+
" }\n",
|
| 269 |
+
"\n",
|
| 270 |
+
" .colab-df-spinner {\n",
|
| 271 |
+
" border: 2px solid var(--fill-color);\n",
|
| 272 |
+
" border-color: transparent;\n",
|
| 273 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 274 |
+
" animation:\n",
|
| 275 |
+
" spin 1s steps(1) infinite;\n",
|
| 276 |
+
" }\n",
|
| 277 |
+
"\n",
|
| 278 |
+
" @keyframes spin {\n",
|
| 279 |
+
" 0% {\n",
|
| 280 |
+
" border-color: transparent;\n",
|
| 281 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 282 |
+
" border-left-color: var(--fill-color);\n",
|
| 283 |
+
" }\n",
|
| 284 |
+
" 20% {\n",
|
| 285 |
+
" border-color: transparent;\n",
|
| 286 |
+
" border-left-color: var(--fill-color);\n",
|
| 287 |
+
" border-top-color: var(--fill-color);\n",
|
| 288 |
+
" }\n",
|
| 289 |
+
" 30% {\n",
|
| 290 |
+
" border-color: transparent;\n",
|
| 291 |
+
" border-left-color: var(--fill-color);\n",
|
| 292 |
+
" border-top-color: var(--fill-color);\n",
|
| 293 |
+
" border-right-color: var(--fill-color);\n",
|
| 294 |
+
" }\n",
|
| 295 |
+
" 40% {\n",
|
| 296 |
+
" border-color: transparent;\n",
|
| 297 |
+
" border-right-color: var(--fill-color);\n",
|
| 298 |
+
" border-top-color: var(--fill-color);\n",
|
| 299 |
+
" }\n",
|
| 300 |
+
" 60% {\n",
|
| 301 |
+
" border-color: transparent;\n",
|
| 302 |
+
" border-right-color: var(--fill-color);\n",
|
| 303 |
+
" }\n",
|
| 304 |
+
" 80% {\n",
|
| 305 |
+
" border-color: transparent;\n",
|
| 306 |
+
" border-right-color: var(--fill-color);\n",
|
| 307 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 308 |
+
" }\n",
|
| 309 |
+
" 90% {\n",
|
| 310 |
+
" border-color: transparent;\n",
|
| 311 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 312 |
+
" }\n",
|
| 313 |
+
" }\n",
|
| 314 |
+
"</style>\n",
|
| 315 |
+
"\n",
|
| 316 |
+
" <script>\n",
|
| 317 |
+
" async function quickchart(key) {\n",
|
| 318 |
+
" const quickchartButtonEl =\n",
|
| 319 |
+
" document.querySelector('#' + key + ' button');\n",
|
| 320 |
+
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
|
| 321 |
+
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
|
| 322 |
+
" try {\n",
|
| 323 |
+
" const charts = await google.colab.kernel.invokeFunction(\n",
|
| 324 |
+
" 'suggestCharts', [key], {});\n",
|
| 325 |
+
" } catch (error) {\n",
|
| 326 |
+
" console.error('Error during call to suggestCharts:', error);\n",
|
| 327 |
+
" }\n",
|
| 328 |
+
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
|
| 329 |
+
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
|
| 330 |
+
" }\n",
|
| 331 |
+
" (() => {\n",
|
| 332 |
+
" let quickchartButtonEl =\n",
|
| 333 |
+
" document.querySelector('#df-518b8ddb-11a0-49a2-8903-71e4063ca189 button');\n",
|
| 334 |
+
" quickchartButtonEl.style.display =\n",
|
| 335 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 336 |
+
" })();\n",
|
| 337 |
+
" </script>\n",
|
| 338 |
+
"</div>\n",
|
| 339 |
+
"\n",
|
| 340 |
+
" <div id=\"id_5f410c26-0cce-4d03-86e0-353ac70a1d74\">\n",
|
| 341 |
+
" <style>\n",
|
| 342 |
+
" .colab-df-generate {\n",
|
| 343 |
+
" background-color: #E8F0FE;\n",
|
| 344 |
+
" border: none;\n",
|
| 345 |
+
" border-radius: 50%;\n",
|
| 346 |
+
" cursor: pointer;\n",
|
| 347 |
+
" display: none;\n",
|
| 348 |
+
" fill: #1967D2;\n",
|
| 349 |
+
" height: 32px;\n",
|
| 350 |
+
" padding: 0 0 0 0;\n",
|
| 351 |
+
" width: 32px;\n",
|
| 352 |
+
" }\n",
|
| 353 |
+
"\n",
|
| 354 |
+
" .colab-df-generate:hover {\n",
|
| 355 |
+
" background-color: #E2EBFA;\n",
|
| 356 |
+
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 357 |
+
" fill: #174EA6;\n",
|
| 358 |
+
" }\n",
|
| 359 |
+
"\n",
|
| 360 |
+
" [theme=dark] .colab-df-generate {\n",
|
| 361 |
+
" background-color: #3B4455;\n",
|
| 362 |
+
" fill: #D2E3FC;\n",
|
| 363 |
+
" }\n",
|
| 364 |
+
"\n",
|
| 365 |
+
" [theme=dark] .colab-df-generate:hover {\n",
|
| 366 |
+
" background-color: #434B5C;\n",
|
| 367 |
+
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
| 368 |
+
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
| 369 |
+
" fill: #FFFFFF;\n",
|
| 370 |
+
" }\n",
|
| 371 |
+
" </style>\n",
|
| 372 |
+
" <button class=\"colab-df-generate\" onclick=\"generateWithVariable('clean_df')\"\n",
|
| 373 |
+
" title=\"Generate code using this dataframe.\"\n",
|
| 374 |
+
" style=\"display:none;\">\n",
|
| 375 |
+
"\n",
|
| 376 |
+
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
| 377 |
+
" width=\"24px\">\n",
|
| 378 |
+
" <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
|
| 379 |
+
" </svg>\n",
|
| 380 |
+
" </button>\n",
|
| 381 |
+
" <script>\n",
|
| 382 |
+
" (() => {\n",
|
| 383 |
+
" const buttonEl =\n",
|
| 384 |
+
" document.querySelector('#id_5f410c26-0cce-4d03-86e0-353ac70a1d74 button.colab-df-generate');\n",
|
| 385 |
+
" buttonEl.style.display =\n",
|
| 386 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 387 |
+
"\n",
|
| 388 |
+
" buttonEl.onclick = () => {\n",
|
| 389 |
+
" google.colab.notebook.generateWithVariable('clean_df');\n",
|
| 390 |
+
" }\n",
|
| 391 |
+
" })();\n",
|
| 392 |
+
" </script>\n",
|
| 393 |
+
" </div>\n",
|
| 394 |
+
"\n",
|
| 395 |
+
" </div>\n",
|
| 396 |
+
" </div>\n"
|
| 397 |
+
],
|
| 398 |
+
"text/plain": [
|
| 399 |
+
" Name \\\n",
|
| 400 |
+
"0 ISB-020-U3-W-D-01-B07005-001-000 \n",
|
| 401 |
+
"1 ISB-020-U3-W-D-01-B07005-002-000 \n",
|
| 402 |
+
"2 ISB-020-U3-W-D-01-B07005-003-000 \n",
|
| 403 |
+
"3 ISB-020-U3-W-D-01-B07005-004-000 \n",
|
| 404 |
+
"4 ISB-020-U3-W-D-01-B18012-001-000 \n",
|
| 405 |
+
".. ... \n",
|
| 406 |
+
"153 ISB-020-U3-W-S-01-B17012-008-000 \n",
|
| 407 |
+
"159 ISB-020-U3-W-S-01-B17012-010-000 \n",
|
| 408 |
+
"160 ISB-020-U3-W-S-01-B17012-011-000 \n",
|
| 409 |
+
"161 ISB-020-U3-W-S-01-B18003-001-020 \n",
|
| 410 |
+
"162 ISB-020-U3-W-S-01-B19009-001-020 \n",
|
| 411 |
+
"\n",
|
| 412 |
+
" Beschreibung Disziplin \n",
|
| 413 |
+
"0 Bauarten und Stuecknachweis SGK D - Datennetz \n",
|
| 414 |
+
"1 Bauarten und Stuecknachweis SGK D - Datennetz \n",
|
| 415 |
+
"2 Pruefprotokoll nach DIN EN 61439-1/3 D - Datennetz \n",
|
| 416 |
+
"3 Pruefprotokoll nach DIN EN 61439-1/3 D - Datennetz \n",
|
| 417 |
+
"4 Sicherungslegende G-020 U3 779-AS 1 D - Datennetz \n",
|
| 418 |
+
".. ... ... \n",
|
| 419 |
+
"153 Foto S - Sanitaer \n",
|
| 420 |
+
"159 Foto S - Sanitaer \n",
|
| 421 |
+
"160 Foto S - Sanitaer \n",
|
| 422 |
+
"161 Schieber / Hawle / Schieber 4000 + Handrad 780... S - Sanitaer \n",
|
| 423 |
+
"162 Schieber / Hawle / 4000 Schutzraum S - Sanitaer \n",
|
| 424 |
+
"\n",
|
| 425 |
+
"[158 rows x 3 columns]"
|
| 426 |
+
]
|
| 427 |
+
},
|
| 428 |
+
"execution_count": 118,
|
| 429 |
+
"metadata": {},
|
| 430 |
+
"output_type": "execute_result"
|
| 431 |
+
}
|
| 432 |
+
],
|
| 433 |
+
"source": [
|
| 434 |
+
"# drop all columns except name, description, discipline\n",
|
| 435 |
+
"features = ['Name', 'Beschreibung', 'Disziplin']\n",
|
| 436 |
+
"# Remove rows with NaN values\n",
|
| 437 |
+
"clean_df = df[features].dropna()\n",
|
| 438 |
+
"clean_df"
|
| 439 |
+
]
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"cell_type": "code",
|
| 443 |
+
"execution_count": 143,
|
| 444 |
+
"metadata": {
|
| 445 |
+
"id": "_PtvbAskQa72"
|
| 446 |
+
},
|
| 447 |
+
"outputs": [],
|
| 448 |
+
"source": [
|
| 449 |
+
"clean_df.to_csv('name-description-discipline-data.csv')"
|
| 450 |
+
]
|
| 451 |
+
}
|
| 452 |
+
],
|
| 453 |
+
"metadata": {
|
| 454 |
+
"colab": {
|
| 455 |
+
"provenance": []
|
| 456 |
+
},
|
| 457 |
+
"kernelspec": {
|
| 458 |
+
"display_name": "Python 3",
|
| 459 |
+
"name": "python3"
|
| 460 |
+
},
|
| 461 |
+
"language_info": {
|
| 462 |
+
"name": "python"
|
| 463 |
+
}
|
| 464 |
+
},
|
| 465 |
+
"nbformat": 4,
|
| 466 |
+
"nbformat_minor": 0
|
| 467 |
+
}
|
notebooks/vectarize.ipynb
ADDED
|
@@ -0,0 +1,239 @@
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|
| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": 1,
|
| 6 |
+
"metadata": {},
|
| 7 |
+
"outputs": [
|
| 8 |
+
{
|
| 9 |
+
"data": {
|
| 10 |
+
"text/plain": [
|
| 11 |
+
"True"
|
| 12 |
+
]
|
| 13 |
+
},
|
| 14 |
+
"execution_count": 1,
|
| 15 |
+
"metadata": {},
|
| 16 |
+
"output_type": "execute_result"
|
| 17 |
+
}
|
| 18 |
+
],
|
| 19 |
+
"source": [
|
| 20 |
+
"import os \n",
|
| 21 |
+
"from dotenv import load_dotenv\n",
|
| 22 |
+
"\n",
|
| 23 |
+
"from langchain_community.document_loaders.csv_loader import CSVLoader\n",
|
| 24 |
+
"\n",
|
| 25 |
+
"from langchain_community.vectorstores import Vectara\n",
|
| 26 |
+
"load_dotenv()"
|
| 27 |
+
]
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"cell_type": "code",
|
| 31 |
+
"execution_count": 2,
|
| 32 |
+
"metadata": {},
|
| 33 |
+
"outputs": [],
|
| 34 |
+
"source": [
|
| 35 |
+
"loader = CSVLoader(file_path='/home/salgadev/code/DocVerifyRAG/name-description-discipline-data.csv')\n",
|
| 36 |
+
"data = loader.load()\n",
|
| 37 |
+
"\n",
|
| 38 |
+
"vectara_customer_id = os.environ['VECTARA_CUSTOMER_ID']\n",
|
| 39 |
+
"vectara_corpus_id = os.environ['VECTARA_CORPUS_ID']\n",
|
| 40 |
+
"vectara_api_key = os.environ['VECTARA_API_KEY']\n",
|
| 41 |
+
"#hf_token = os.environ['HF_API_TOKEN']\n",
|
| 42 |
+
"\n",
|
| 43 |
+
"vectorstore = Vectara(vectara_customer_id=vectara_customer_id,\n",
|
| 44 |
+
" vectara_corpus_id=vectara_corpus_id,\n",
|
| 45 |
+
" vectara_api_key=vectara_api_key)"
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"cell_type": "code",
|
| 50 |
+
"execution_count": 3,
|
| 51 |
+
"metadata": {},
|
| 52 |
+
"outputs": [],
|
| 53 |
+
"source": [
|
| 54 |
+
"from langchain_community.embeddings import HuggingFaceEmbeddings\n",
|
| 55 |
+
"embeddings = HuggingFaceEmbeddings(model_name=\"intfloat/multilingual-e5-large\")"
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"cell_type": "code",
|
| 60 |
+
"execution_count": 4,
|
| 61 |
+
"metadata": {},
|
| 62 |
+
"outputs": [],
|
| 63 |
+
"source": [
|
| 64 |
+
"vectara = Vectara.from_documents(data, embedding=embeddings)"
|
| 65 |
+
]
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"cell_type": "code",
|
| 69 |
+
"execution_count": 5,
|
| 70 |
+
"metadata": {},
|
| 71 |
+
"outputs": [],
|
| 72 |
+
"source": [
|
| 73 |
+
"from langchain.chains.qa_with_sources import load_qa_with_sources_chain\n",
|
| 74 |
+
"\n"
|
| 75 |
+
]
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"cell_type": "code",
|
| 79 |
+
"execution_count": 7,
|
| 80 |
+
"metadata": {},
|
| 81 |
+
"outputs": [],
|
| 82 |
+
"source": [
|
| 83 |
+
"summary_config = {\"is_enabled\": True, \"max_results\": 5, \"response_lang\": \"eng\"}\n",
|
| 84 |
+
"retriever = vectara.as_retriever(\n",
|
| 85 |
+
" search_kwargs={\"k\": 3, \"summary_config\": summary_config}\n",
|
| 86 |
+
")"
|
| 87 |
+
]
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"cell_type": "code",
|
| 91 |
+
"execution_count": 8,
|
| 92 |
+
"metadata": {},
|
| 93 |
+
"outputs": [],
|
| 94 |
+
"source": [
|
| 95 |
+
"def get_sources(documents):\n",
|
| 96 |
+
" return documents[:-1]\n",
|
| 97 |
+
"\n",
|
| 98 |
+
"\n",
|
| 99 |
+
"def get_summary(documents):\n",
|
| 100 |
+
" return documents[-1].page_content"
|
| 101 |
+
]
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"cell_type": "code",
|
| 105 |
+
"execution_count": 9,
|
| 106 |
+
"metadata": {},
|
| 107 |
+
"outputs": [
|
| 108 |
+
{
|
| 109 |
+
"data": {
|
| 110 |
+
"text/plain": [
|
| 111 |
+
"'The documents related to the electrical discipline include items like ISB-020-U3-W-E-01-B07005-002-020, which pertains to U3 740KV 2 USV, and ISB-020-U3-W-E-01-B07005-002-040 for U3 780KV 4 equipment. These documents are part of the E - Elektroanlagen discipline, focusing on electrical systems and installations [7][11]. Additionally, there are documents specifying different aspects such as AS 1_G010, AS 2_G011, and AS 1_G009, highlighting specific details within the electrical discipline documentation [7][11]. These documents are crucial for ensuring proper electrical planning, design, and implementation within various systems and structures.'"
|
| 112 |
+
]
|
| 113 |
+
},
|
| 114 |
+
"execution_count": 9,
|
| 115 |
+
"metadata": {},
|
| 116 |
+
"output_type": "execute_result"
|
| 117 |
+
}
|
| 118 |
+
],
|
| 119 |
+
"source": [
|
| 120 |
+
"query_str = \"Describe document related to the electrical discipline\"\n",
|
| 121 |
+
"\n",
|
| 122 |
+
"(retriever | get_summary).invoke(query_str)"
|
| 123 |
+
]
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"cell_type": "code",
|
| 127 |
+
"execution_count": 10,
|
| 128 |
+
"metadata": {},
|
| 129 |
+
"outputs": [
|
| 130 |
+
{
|
| 131 |
+
"data": {
|
| 132 |
+
"text/plain": [
|
| 133 |
+
"[Document(page_content=': 12\\nName: ISB-020-U3-W-E-01-B07005-002-020\\nBeschreibung: E_020 U3 740_KV 2_USV\\nDisziplin: E - Elektroanlagen : 13\\nName: ISB-020-U3-W-E-01-B07005-002-040\\nBeschreibung: E_020 U3 780_KV 4\\nDisziplin: E - Elektroanlagen : 14\\nName: ISB-020-U3-W-E-01-B07005-003-010\\nBeschreibung: G_020 U3 711_AS 2_G011\\nDisziplin: E - Elektroanlagen : 15\\nName: ISB-020-U3-W-E-01-B15100-035-000\\nBeschreibung: Luftmengen Protokoll\\nDisziplin: L - Lueftung : 16\\nName: ISB-020-U3-W-E-01-B15100-036-000\\nBeschreibung: Luftmengen Protokoll\\nDisziplin: L - Lueftung', metadata={'source': 'langchain', 'row': '14', 'lang': 'deu', 'offset': '0', 'len': '110'}),\n",
|
| 134 |
+
" Document(page_content=': 7\\nName: ISB-020-U3-W-E-01-B07005-001-010\\nBeschreibung: E_020 U3 780_KV 4_E031 E_Ladestationen\\nDisziplin: E - Elektroanlagen : 8\\nName: ISB-020-U3-W-E-01-B07005-001-020\\nBeschreibung: E_020 U3 740_KV 2\\nDisziplin: E - Elektroanlagen : 9\\nName: ISB-020-U3-W-E-01-B07005-001-040\\nBeschreibung: G_020 U3 779_AS 1_G009\\nDisziplin: E - Elektroanlagen : 10\\nName: ISB-020-U3-W-E-01-B07005-001-999\\nBeschreibung: 772 UV 1 G022 / WW 218057\\nDisziplin: E - Elektroanlagen : 11\\nName: ISB-020-U3-W-E-01-B07005-002-010\\nBeschreibung: G_020 U3 711_AS 1_G010\\nDisziplin: E - Elektroanlagen', metadata={'source': 'langchain', 'row': '9', 'lang': 'deu', 'offset': '0', 'len': '109'}),\n",
|
| 135 |
+
" Document(page_content=': 11\\nName: ISB-020-U3-W-E-01-B07005-002-010\\nBeschreibung: G_020 U3 711_AS 1_G010\\nDisziplin: E - Elektroanlagen : 12\\nName: ISB-020-U3-W-E-01-B07005-002-020\\nBeschreibung: E_020 U3 740_KV 2_USV\\nDisziplin: E - Elektroanlagen : 13\\nName: ISB-020-U3-W-E-01-B07005-002-040\\nBeschreibung: E_020 U3 780_KV 4\\nDisziplin: E - Elektroanlagen : 14\\nName: ISB-020-U3-W-E-01-B07005-003-010\\nBeschreibung: G_020 U3 711_AS 2_G011\\nDisziplin: E - Elektroanlagen : 15\\nName: ISB-020-U3-W-E-01-B15100-035-000\\nBeschreibung: Luftmengen Protokoll\\nDisziplin: L - Lueftung', metadata={'source': 'langchain', 'row': '13', 'lang': 'deu', 'offset': '0', 'len': '105'})]"
|
| 136 |
+
]
|
| 137 |
+
},
|
| 138 |
+
"execution_count": 10,
|
| 139 |
+
"metadata": {},
|
| 140 |
+
"output_type": "execute_result"
|
| 141 |
+
}
|
| 142 |
+
],
|
| 143 |
+
"source": [
|
| 144 |
+
"(retriever | get_sources).invoke(query_str)\n",
|
| 145 |
+
"\n"
|
| 146 |
+
]
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"cell_type": "code",
|
| 150 |
+
"execution_count": 11,
|
| 151 |
+
"metadata": {},
|
| 152 |
+
"outputs": [],
|
| 153 |
+
"source": [
|
| 154 |
+
"madeup_metadata = {'filename': 'school_plumbing.txt', 'description': 'This document describes the plumbing system for a typical school building, including potable water supply, fixtures and appliances, drainage waste and vent (DWV) systems, and stormwater management.', 'discipline': 'plumbing'}"
|
| 155 |
+
]
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"cell_type": "code",
|
| 159 |
+
"execution_count": 12,
|
| 160 |
+
"metadata": {},
|
| 161 |
+
"outputs": [],
|
| 162 |
+
"source": [
|
| 163 |
+
"prompt_template = \"\"\"Compare the following metadata and return a confidence interval measuring how much the metadata is similar to your available information \n",
|
| 164 |
+
"\"\"\""
|
| 165 |
+
]
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"cell_type": "code",
|
| 169 |
+
"execution_count": 13,
|
| 170 |
+
"metadata": {},
|
| 171 |
+
"outputs": [
|
| 172 |
+
{
|
| 173 |
+
"data": {
|
| 174 |
+
"text/plain": [
|
| 175 |
+
"'The returned results did not contain sufficient information to be summarized into a useful answer for your query. Please try a different search or restate your query differently.'"
|
| 176 |
+
]
|
| 177 |
+
},
|
| 178 |
+
"execution_count": 13,
|
| 179 |
+
"metadata": {},
|
| 180 |
+
"output_type": "execute_result"
|
| 181 |
+
}
|
| 182 |
+
],
|
| 183 |
+
"source": [
|
| 184 |
+
"query_str = f'{prompt_template}\\nmetadata:{madeup_metadata}'\n",
|
| 185 |
+
"(retriever | get_summary).invoke(query_str)"
|
| 186 |
+
]
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"cell_type": "code",
|
| 190 |
+
"execution_count": 15,
|
| 191 |
+
"metadata": {},
|
| 192 |
+
"outputs": [],
|
| 193 |
+
"source": [
|
| 194 |
+
"query_str = 'What discipline does this description belong to? Description: This document provides instructions for handling, assembly, maintenance, and troubleshooting of Hawle Flanschen-Schieber, primarily used in water supply systems with a maximum operating pressure of 25 bar and temperature of 40°C.'\n"
|
| 195 |
+
]
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"cell_type": "code",
|
| 199 |
+
"execution_count": 16,
|
| 200 |
+
"metadata": {},
|
| 201 |
+
"outputs": [
|
| 202 |
+
{
|
| 203 |
+
"data": {
|
| 204 |
+
"text/plain": [
|
| 205 |
+
"'The description provided pertains to the discipline of Sanitaer (Sanitary), as indicated by search results [159] and [160]. These instructions are related to handling, assembly, maintenance, and troubleshooting of Hawle Flanschen-Schieber, commonly utilized in water supply systems with a maximum operating pressure of 25 bar and temperature of 40°C. The document likely focuses on the proper procedures for managing and servicing these components within sanitary systems.'"
|
| 206 |
+
]
|
| 207 |
+
},
|
| 208 |
+
"execution_count": 16,
|
| 209 |
+
"metadata": {},
|
| 210 |
+
"output_type": "execute_result"
|
| 211 |
+
}
|
| 212 |
+
],
|
| 213 |
+
"source": [
|
| 214 |
+
"(retriever | get_summary).invoke(query_str)"
|
| 215 |
+
]
|
| 216 |
+
}
|
| 217 |
+
],
|
| 218 |
+
"metadata": {
|
| 219 |
+
"kernelspec": {
|
| 220 |
+
"display_name": "Python 3",
|
| 221 |
+
"language": "python",
|
| 222 |
+
"name": "python3"
|
| 223 |
+
},
|
| 224 |
+
"language_info": {
|
| 225 |
+
"codemirror_mode": {
|
| 226 |
+
"name": "ipython",
|
| 227 |
+
"version": 3
|
| 228 |
+
},
|
| 229 |
+
"file_extension": ".py",
|
| 230 |
+
"mimetype": "text/x-python",
|
| 231 |
+
"name": "python",
|
| 232 |
+
"nbconvert_exporter": "python",
|
| 233 |
+
"pygments_lexer": "ipython3",
|
| 234 |
+
"version": "3.11.8"
|
| 235 |
+
}
|
| 236 |
+
},
|
| 237 |
+
"nbformat": 4,
|
| 238 |
+
"nbformat_minor": 2
|
| 239 |
+
}
|