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  1. .DS_Store +0 -0
  2. .gitattributes +2 -0
  3. .ipynb_checkpoints/Untitled5-checkpoint.ipynb +1935 -0
  4. app2.py +7 -0
  5. data/Abr-viations_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  6. data/Avant-propos_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  7. data/Compl-ments-en-ligne_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  8. data/Copyright_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  9. data/Fiche-1---Organisation-des-structures-d-urgen_2019_Mega-Guide-Pratique-des-U.pdf +0 -0
  10. data/Fiche-10---Embolie-pulmonaire_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  11. data/Fiche-11---Crise-d-asthme_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  12. data/Fiche-12----d-me-aigu-du-poumon-cardiog-n_2019_Mega-Guide-Pratique-des-Urgen.pdf +0 -0
  13. data/Fiche-13---Exacerbation-d-compensation-d-un_2019_Mega-Guide-Pratique-des-Urg.pdf +0 -0
  14. data/Fiche-14---Pneumopathies-infectieuses-commun_2019_Mega-Guide-Pratique-des-Ur.pdf +0 -0
  15. data/Fiche-15---Pneumothorax_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  16. data/Fiche-16---Pleur-sie_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  17. data/Fiche-17---H-moptysie_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  18. data/Fiche-18---Syncope_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  19. data/Fiche-19---Troubles-du-rythme-supraventriculair_2019_Mega-Guide-Pratique-des.pdf +3 -0
  20. data/Fiche-2---Traitement-de-la-douleur-aux-urg_2019_Mega-Guide-Pratique-des-Urge.pdf +0 -0
  21. data/Fiche-20---Troubles-de-la-conduction-cardi_2019_Mega-Guide-Pratique-des-Urge.pdf +3 -0
  22. data/Fiche-21---Crise-convulsive_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  23. data/Fiche-22---Hypertension-art-rielle_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  24. data/Fiche-23---Thrombose-veineuse-profonde_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  25. data/Fiche-24---Isch-mie-aigu--de-membre_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  26. data/Fiche-25---Coma_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  27. data/Fiche-26---Accidents-vasculaires-c-r-bra_2019_Mega-Guide-Pratique-des-Urgenc.pdf +0 -0
  28. data/Fiche-27---Thrombophl-bite-c-r-brale_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  29. data/Fiche-28---Compression-m-dullaire-non-traum_2019_Mega-Guide-Pratique-des-Urg.pdf +0 -0
  30. data/Fiche-29---C-phal-es-aigu-s_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  31. data/Fiche-3---Arr-t-cardiocirculatoire_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  32. data/Fiche-30---H-morragie-m-ning-e_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  33. data/Fiche-31---M-ningites-aigu-s-infectieuse_2019_Mega-Guide-Pratique-des-Urgenc.pdf +0 -0
  34. data/Fiche-32---Agitation-psychomotrice-et-s-dation_2019_Mega-Guide-Pratique-des-.pdf +0 -0
  35. data/Fiche-33---Intoxication--thylique-aigu-_2019_Mega-Guide-Pratique-des-Urgence.pdf +0 -0
  36. data/Fiche-34---Bouff-e-d-lirante-aigu-_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  37. data/Fiche-35---Diagnostic-des-douleurs-abdominales-ai_2019_Mega-Guide-Pratique-d.pdf +0 -0
  38. data/Fiche-36---P-ritonites-aigu-s_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  39. data/Fiche-37---Infections-des-voies-biliaire_2019_Mega-Guide-Pratique-des-Urgenc.pdf +0 -0
  40. data/Fiche-38---Appendicite-aigu-_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  41. data/Fiche-39---Diverticulite-aigu-_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  42. data/Fiche-4---Choc--insuffisance-circulatoire-_2019_Mega-Guide-Pratique-des-Urge.pdf +0 -0
  43. data/Fiche-40---Algies-pelviennes-aigu-s-de-la-_2019_Mega-Guide-Pratique-des-Urge.pdf +0 -0
  44. data/Fiche-41---Syndrome-occlusif_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  45. data/Fiche-42---Pancr-atite-aigu-_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  46. data/Fiche-43---H-morragies-digestives_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  47. data/Fiche-44---Diarrh-e-aigu-_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  48. data/Fiche-45---Anomalies-h-patiques-aigu-s_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  49. data/Fiche-46---Urgences-proctologiques_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
  50. data/Fiche-47---Hoquet_2019_Mega-Guide-Pratique-des-Urgences.pdf +0 -0
.DS_Store ADDED
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ data/Fiche-19---Troubles-du-rythme-supraventriculair_2019_Mega-Guide-Pratique-des.pdf filter=lfs diff=lfs merge=lfs -text
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+ data/Fiche-20---Troubles-de-la-conduction-cardi_2019_Mega-Guide-Pratique-des-Urge.pdf filter=lfs diff=lfs merge=lfs -text
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1
+ {
2
+ "cells": [
3
+ {
4
+ "cell_type": "code",
5
+ "execution_count": 1,
6
+ "metadata": {
7
+ "colab": {
8
+ "base_uri": "https://localhost:8080/",
9
+ "height": 17,
10
+ "referenced_widgets": [
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+ "9d6e62ea113f4fbdb85d27f562d46507",
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+ "c286f965f2d548169377df94e4c4188f",
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+ "992eafc639574f709bd1a2790f00854a",
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+ "17bdb41a05774b09821e2f9c6109e3eb",
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+ "703ea8ea6d8841aaae19a782cd45b9e6",
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+ "5aa970e3cefd424d80abe777cc245567",
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+ "47471abc83ab43caa8b4ea999b285b5b",
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+ "36ef6e2b6b2043058b767421478139a1",
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+ "5cdf711f02114023a5874bf074a17742",
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+ "f01965fedbb14e8082088580336fde46",
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+ "04398d01a8474f4a877d50ff5e4e7fb7",
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+ "3e9fc9b6d8054c698a2682dbed6fa249",
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+ "d107c89b52d54be8bcec33ac43fd58b6",
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+ "623e3ea7c0594a318501930b1a668aa5",
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+ "ec7302e05313469598ace3afa5d5d382",
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+ "1633a728db264b809aeb0862ed686333",
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+ "04dc45fd0e7a4485a9850351470d461d",
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+ "e68cef709fe34905a7784571006a0058",
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+ "24c578c177804236a9a9b2e1b9e3be2f",
30
+ "4e130eea4c864668bfda5c05ca84ff1d"
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+ ]
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+ },
33
+ "id": "97iYfNSUjMYu",
34
+ "outputId": "bcb1c0a4-0ca6-4efc-ccf3-b671cfb86c9f"
35
+ },
36
+ "outputs": [
37
+ {
38
+ "output_type": "display_data",
39
+ "data": {
40
+ "text/plain": [
41
+ "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
42
+ ],
43
+ "application/vnd.jupyter.widget-view+json": {
44
+ "version_major": 2,
45
+ "version_minor": 0,
46
+ "model_id": "9d6e62ea113f4fbdb85d27f562d46507"
47
+ }
48
+ },
49
+ "metadata": {}
50
+ }
51
+ ],
52
+ "source": [
53
+ "from huggingface_hub import notebook_login\n",
54
+ "\n",
55
+ "notebook_login()"
56
+ ]
57
+ },
58
+ {
59
+ "cell_type": "code",
60
+ "execution_count": 29,
61
+ "metadata": {
62
+ "id": "YAn0wKT9UdIL"
63
+ },
64
+ "outputs": [],
65
+ "source": [
66
+ "!pip install langchain langchain-huggingface -Uq"
67
+ ]
68
+ },
69
+ {
70
+ "cell_type": "code",
71
+ "source": [
72
+ "!pip install langchain-community -Uq"
73
+ ],
74
+ "metadata": {
75
+ "id": "PV_G_jY8_nj5"
76
+ },
77
+ "execution_count": 30,
78
+ "outputs": []
79
+ },
80
+ {
81
+ "cell_type": "code",
82
+ "source": [
83
+ "#!apt-get install tesseract-ocr -y"
84
+ ],
85
+ "metadata": {
86
+ "id": "_ZZssPXKLHug"
87
+ },
88
+ "execution_count": 47,
89
+ "outputs": []
90
+ },
91
+ {
92
+ "cell_type": "code",
93
+ "source": [
94
+ "#!apt-get install poppler-utils -y"
95
+ ],
96
+ "metadata": {
97
+ "id": "5AHfheWlKpPs"
98
+ },
99
+ "execution_count": 48,
100
+ "outputs": []
101
+ },
102
+ {
103
+ "cell_type": "code",
104
+ "source": [
105
+ "#!pip install \"unstructured[pdf]\" -Uq"
106
+ ],
107
+ "metadata": {
108
+ "id": "pWvnFTdMJSWs"
109
+ },
110
+ "execution_count": 49,
111
+ "outputs": []
112
+ },
113
+ {
114
+ "cell_type": "code",
115
+ "source": [
116
+ "!pip install faiss-cpu -Uq"
117
+ ],
118
+ "metadata": {
119
+ "colab": {
120
+ "base_uri": "https://localhost:8080/"
121
+ },
122
+ "id": "dIDah83dSguj",
123
+ "outputId": "98d8f01e-2659-4b76-c8ca-8fb67f7adb29"
124
+ },
125
+ "execution_count": 51,
126
+ "outputs": [
127
+ {
128
+ "output_type": "stream",
129
+ "name": "stdout",
130
+ "text": [
131
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.5/27.5 MB\u001b[0m \u001b[31m38.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
132
+ "\u001b[?25h"
133
+ ]
134
+ }
135
+ ]
136
+ },
137
+ {
138
+ "cell_type": "code",
139
+ "source": [
140
+ "!pip install nltk -Uq"
141
+ ],
142
+ "metadata": {
143
+ "id": "wUbWFgVdMXvU"
144
+ },
145
+ "execution_count": 22,
146
+ "outputs": []
147
+ },
148
+ {
149
+ "cell_type": "code",
150
+ "source": [
151
+ "from langchain_huggingface.llms import HuggingFacePipeline\n",
152
+ "from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline\n",
153
+ "from langchain.embeddings import HuggingFaceEmbeddings\n",
154
+ "from langchain_core.prompts import ChatPromptTemplate\n",
155
+ "from langchain.vectorstores import FAISS as Fa\n",
156
+ "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
157
+ "from langchain.chains import create_retrieval_chain\n",
158
+ "from langchain.chains.combine_documents import create_stuff_documents_chain\n",
159
+ "from langchain.chains import RetrievalQA\n",
160
+ "from langchain_community.document_loaders import PyPDFLoader\n",
161
+ "import torch\n"
162
+ ],
163
+ "metadata": {
164
+ "id": "srXFyklinado"
165
+ },
166
+ "execution_count": 31,
167
+ "outputs": []
168
+ },
169
+ {
170
+ "cell_type": "code",
171
+ "source": [
172
+ "from langchain_community.document_loaders import PyPDFDirectoryLoader"
173
+ ],
174
+ "metadata": {
175
+ "id": "UBmQPkMUOSey"
176
+ },
177
+ "execution_count": 32,
178
+ "outputs": []
179
+ },
180
+ {
181
+ "cell_type": "code",
182
+ "source": [
183
+ "# Pour les embeddings en français\n",
184
+ "embeddings = HuggingFaceEmbeddings(\n",
185
+ " model_name=\"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2\"\n",
186
+ ")"
187
+ ],
188
+ "metadata": {
189
+ "id": "Ic82h21UQijy"
190
+ },
191
+ "execution_count": 33,
192
+ "outputs": []
193
+ },
194
+ {
195
+ "cell_type": "code",
196
+ "source": [
197
+ "loader_data = PyPDFDirectoryLoader(\"data/\")\n",
198
+ "docs = loader_data.load()"
199
+ ],
200
+ "metadata": {
201
+ "id": "iFa75blkOVKa"
202
+ },
203
+ "execution_count": 34,
204
+ "outputs": []
205
+ },
206
+ {
207
+ "cell_type": "code",
208
+ "source": [
209
+ "# 1. Chargement des documents\n",
210
+ "loader = PyPDFLoader('data/Fiche-1---Organisation-des-structures-d-urgen_2019_Mega-Guide-Pratique-des-U.pdf')\n",
211
+ "documents = loader.load()\n"
212
+ ],
213
+ "metadata": {
214
+ "id": "b7gUxRDXICHj"
215
+ },
216
+ "execution_count": 67,
217
+ "outputs": []
218
+ },
219
+ {
220
+ "cell_type": "code",
221
+ "source": [
222
+ "len(docs)"
223
+ ],
224
+ "metadata": {
225
+ "colab": {
226
+ "base_uri": "https://localhost:8080/"
227
+ },
228
+ "id": "RdM8F0qSNbdS",
229
+ "outputId": "22af1500-90a5-44c3-9e1a-028ff76b3b6e"
230
+ },
231
+ "execution_count": 35,
232
+ "outputs": [
233
+ {
234
+ "output_type": "execute_result",
235
+ "data": {
236
+ "text/plain": [
237
+ "20"
238
+ ]
239
+ },
240
+ "metadata": {},
241
+ "execution_count": 35
242
+ }
243
+ ]
244
+ },
245
+ {
246
+ "cell_type": "code",
247
+ "source": [
248
+ "# 2. Découpage des documents\n",
249
+ "text_splitter = RecursiveCharacterTextSplitter(\n",
250
+ " chunk_size=1000,\n",
251
+ " chunk_overlap=200,\n",
252
+ " separators=[\"\\n\\n\", \"\\n\", \" \", \"\"]\n",
253
+ ")\n",
254
+ "texts = text_splitter.split_documents(docs)"
255
+ ],
256
+ "metadata": {
257
+ "id": "Bj3F1_dWOfmk"
258
+ },
259
+ "execution_count": 36,
260
+ "outputs": []
261
+ },
262
+ {
263
+ "cell_type": "code",
264
+ "source": [
265
+ "# 3. Création de la base vectorielle\n",
266
+ "vectorstore = Fa.from_documents(\n",
267
+ " documents=texts,\n",
268
+ " embedding=embeddings\n",
269
+ ")"
270
+ ],
271
+ "metadata": {
272
+ "id": "CqAbAGyWSTy_"
273
+ },
274
+ "execution_count": 37,
275
+ "outputs": []
276
+ },
277
+ {
278
+ "cell_type": "code",
279
+ "source": [
280
+ "question = \"quels sont les missions du SAMU\"\n",
281
+ "docs = vectorstore.similarity_search(question, k=3) # Retourne les 3 documents les plus pertinents\n",
282
+ "\n",
283
+ "# Afficher les résultats\n",
284
+ "for i, doc in enumerate(docs):\n",
285
+ " print(f\"\\nDocument {i+1}:\")\n",
286
+ " print(f\"Contenu: {doc.page_content[:200]}...\") # Affiche les 200 premiers caractères\n",
287
+ " print(f\"Metadata: {doc.metadata}\")\n",
288
+ "\n",
289
+ "# 3. Test avec similarity_search_with_score pour voir les scores de similarité\n",
290
+ "docs_with_scores = vectorstore.similarity_search_with_score(question, k=3)\n",
291
+ "\n",
292
+ "for i, (doc, score) in enumerate(docs_with_scores):\n",
293
+ " print(f\"\\nDocument {i+1} (score: {score}):\")\n",
294
+ " print(f\"Contenu: {doc.page_content[:200]}...\")"
295
+ ],
296
+ "metadata": {
297
+ "colab": {
298
+ "base_uri": "https://localhost:8080/"
299
+ },
300
+ "id": "bzM8BNZyTDlA",
301
+ "outputId": "64dc99ed-d5ca-49d2-dcbc-535b0b94280a"
302
+ },
303
+ "execution_count": 38,
304
+ "outputs": [
305
+ {
306
+ "output_type": "stream",
307
+ "name": "stdout",
308
+ "text": [
309
+ "\n",
310
+ "Document 1:\n",
311
+ "Contenu: 1\n",
312
+ "Fiche\n",
313
+ "4\n",
314
+ "Organisation des structures d'urgence en France\n",
315
+ "• Par ailleurs, le SAMU voit ses missions élargies aux domaines \n",
316
+ "suivants :\n",
317
+ "– participe à l'élaboration des plans de secours et à la prise en ...\n",
318
+ "Metadata: {'source': 'data/Fiche-1---Organisation-des-structures-d-urgen_2019_Mega-Guide-Pratique-des-U.pdf', 'page': 1}\n",
319
+ "\n",
320
+ "Document 2:\n",
321
+ "Contenu: sanitaires.\n",
322
+ "Systèmes téléphoniques, radiophoniques et informatiques\n",
323
+ "Systèmes téléphoniques, radiophoniques et informatiques des \n",
324
+ "SAMU sont sécurisés et permettent la création de dossier de régu -\n",
325
+ "lati...\n",
326
+ "Metadata: {'source': 'data/Fiche-1---Organisation-des-structures-d-urgen_2019_Mega-Guide-Pratique-des-U.pdf', 'page': 2}\n",
327
+ "\n",
328
+ "Document 3:\n",
329
+ "Contenu: – d'organiser les éventuels transferts ou le retour au domicile ; \n",
330
+ "– de coordonner la prise en charge entre le SU et les autres struc -\n",
331
+ "tures de soins et transmettre les informations utiles à la cont...\n",
332
+ "Metadata: {'source': 'data/Fiche-1---Organisation-des-structures-d-urgen_2019_Mega-Guide-Pratique-des-U.pdf', 'page': 3}\n",
333
+ "\n",
334
+ "Document 1 (score: 8.152497291564941):\n",
335
+ "Contenu: 1\n",
336
+ "Fiche\n",
337
+ "4\n",
338
+ "Organisation des structures d'urgence en France\n",
339
+ "• Par ailleurs, le SAMU voit ses missions élargies aux domaines \n",
340
+ "suivants :\n",
341
+ "– participe à l'élaboration des plans de secours et à la prise en ...\n",
342
+ "\n",
343
+ "Document 2 (score: 10.81833267211914):\n",
344
+ "Contenu: sanitaires.\n",
345
+ "Systèmes téléphoniques, radiophoniques et informatiques\n",
346
+ "Systèmes téléphoniques, radiophoniques et informatiques des \n",
347
+ "SAMU sont sécurisés et permettent la création de dossier de régu -\n",
348
+ "lati...\n",
349
+ "\n",
350
+ "Document 3 (score: 11.624066352844238):\n",
351
+ "Contenu: – d'organiser les éventuels transferts ou le retour au domicile ; \n",
352
+ "– de coordonner la prise en charge entre le SU et les autres struc -\n",
353
+ "tures de soins et transmettre les informations utiles à la cont...\n"
354
+ ]
355
+ }
356
+ ]
357
+ },
358
+ {
359
+ "cell_type": "code",
360
+ "source": [
361
+ "# HuggingFace pipeline\n",
362
+ "\n",
363
+ "tokenizer = AutoTokenizer.from_pretrained(\"tiiuae/Falcon3-1B-Instruct\")\n",
364
+ "\n",
365
+ "model = AutoModelForCausalLM.from_pretrained(\n",
366
+ " \"tiiuae/Falcon3-1B-Instruct\",\n",
367
+ " torch_dtype=torch.float16,\n",
368
+ " device_map=\"auto\"\n",
369
+ ")\n",
370
+ "pipe = pipeline(\n",
371
+ " \"text-generation\",\n",
372
+ " model=model,\n",
373
+ " tokenizer=tokenizer\n",
374
+ ")\n",
375
+ "\n",
376
+ "llm = HuggingFacePipeline(\n",
377
+ " pipeline=pipe,\n",
378
+ " model_kwargs={\"temperature\": 0.1}\n",
379
+ ")\n",
380
+ ""
381
+ ],
382
+ "metadata": {
383
+ "colab": {
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+ "base_uri": "https://localhost:8080/",
385
+ "height": 98,
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+ "referenced_widgets": [
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+ "f0ea69c59caa4062aa44efff90e22735",
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+ },
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+ "execution_count": 16,
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+ "outputs": [
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+ {
417
+ "output_type": "display_data",
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+ "data": {
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+ "text/plain": [
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+ ],
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+ }
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+ },
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+ "metadata": {}
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+ },
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+ {
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+ "data": {
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+ "text/plain": [
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+ ],
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+ }
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+ },
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+ "metadata": {}
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+ },
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+ {
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+ "output_type": "stream",
446
+ "name": "stderr",
447
+ "text": [
448
+ "Device set to use cuda:0\n"
449
+ ]
450
+ }
451
+ ]
452
+ },
453
+ {
454
+ "cell_type": "code",
455
+ "source": [
456
+ "system_prompt = (\n",
457
+ " \" T'es un assistant AI pour aider les personnels de la santé à mieux suivre les patients\"\n",
458
+ " \" Je veux que tu me répondes en te servant de tes connaissance et \"\n",
459
+ " \" du contexte que je vais te passer juste au dessous si nécessaire \"\n",
460
+ " \"\\n\\n\"\n",
461
+ " \"{context}\"\n",
462
+ ")\n",
463
+ "\n",
464
+ "prompt = ChatPromptTemplate.from_messages(\n",
465
+ " [\n",
466
+ " (\"system\", system_prompt),\n",
467
+ " (\"human\", \"{input}\"),\n",
468
+ " ]\n",
469
+ ")\n",
470
+ "\n",
471
+ "retriever = vectorstore.as_retriever(search_type=\"similarity\", search_kwargs={\"k\": 3})\n",
472
+ "question_answer_chain = create_stuff_documents_chain(llm, prompt)\n",
473
+ "rag_chain = create_retrieval_chain(retriever, question_answer_chain)\n",
474
+ "\n",
475
+ "response = rag_chain.invoke({\"input\": \"C'est quoi le SAMU?\"})\n",
476
+ "print(response[\"answer\"])"
477
+ ],
478
+ "metadata": {
479
+ "colab": {
480
+ "base_uri": "https://localhost:8080/"
481
+ },
482
+ "id": "AtWFzmvcjmPd",
483
+ "outputId": "24ea1afc-d142-47b6-cefe-d3a47c88c732"
484
+ },
485
+ "execution_count": 42,
486
+ "outputs": [
487
+ {
488
+ "output_type": "stream",
489
+ "name": "stdout",
490
+ "text": [
491
+ "System: T'es un assistant AI pour aider les personnels de la santé à mieux suivre les patients Je veux que tu me répondes en te servant de tes connaissance et du contexte que je vais te passer juste au dessous si nécessaire \n",
492
+ "\n",
493
+ "1\n",
494
+ "Fiche\n",
495
+ "4\n",
496
+ "Organisation des structures d'urgence en France\n",
497
+ "• Par ailleurs, le SAMU voit ses missions élargies aux domaines \n",
498
+ "suivants :\n",
499
+ "– participe à l'élaboration des plans de secours et à la prise en \n",
500
+ "charge des situations sanitaires exceptionnelles dans le cadre \n",
501
+ "de la médecine de catastrophe ; \n",
502
+ "– assure la couverture préventive médicale lors de grands ras -\n",
503
+ "semblements de population ; \n",
504
+ "– assure l'enseignement et la formation des professionnels de \n",
505
+ "santé aux gestes et soins d'urgence au sein de son centre d'en -\n",
506
+ "seignement de soins d'urgence (CESU).\n",
507
+ "Organisation des SAMU\n",
508
+ "• Centre de réception et de régulation médicalisée des appels \n",
509
+ "(CRRA), dont le numéro national gratuit est le 15 depuis 1978.\n",
510
+ "• Appel initialement pris en charge par une aide à la régulation \n",
511
+ "médicale (ARM) : identifier le lieu de la détresse, la personne qui \n",
512
+ "appelle et la nature de l'appel et transmettre ensuite l'appel au \n",
513
+ "médecin régulateur en les hiérarchisant.\n",
514
+ "\n",
515
+ "sanitaires.\n",
516
+ "Systèmes téléphoniques, radiophoniques et informatiques\n",
517
+ "Systèmes téléphoniques, radiophoniques et informatiques des \n",
518
+ "SAMU sont sécurisés et permettent la création de dossier de régu -\n",
519
+ "lation médicale mémorisé, l'identification et le suivi des différents \n",
520
+ "intervenants en temps réel, l'horodatage des prises de décision, \n",
521
+ "des départs et arrivées des équipes, l'enregistrement des appels \n",
522
+ "régulés en respectant la confidentialité (fait partie du dossier \n",
523
+ "médical et peut être saisi par la justice).\n",
524
+ "Indicateurs\n",
525
+ "Nombre d'appels, de régulations médicalisées et typologie des \n",
526
+ "réponses ; le temps de décroché, critère majeur de qualité.\n",
527
+ "Service mobile d'urgence et de réanimation (SMUR)\n",
528
+ "• Déclenché et coordonné par le SAMU.\n",
529
+ "• Assure la prise en charge médicale et de réanimation de tout \n",
530
+ "patient dont l'état engage son pronostic vital et/ou fonctionnel \n",
531
+ "en extrahospitalier par une UMH.\n",
532
+ "• Décision d'orientation adaptée est prise en lien avec le régula -\n",
533
+ "\n",
534
+ "– d'organiser les éventuels transferts ou le retour au domicile ; \n",
535
+ "– de coordonner la prise en charge entre le SU et les autres struc -\n",
536
+ "tures de soins et transmettre les informations utiles à la conti -\n",
537
+ "nuité des soins.\n",
538
+ "• Organisation des SU.\n",
539
+ "La prise en charge des malades est décrite dans la figure 1.2.\n",
540
+ "Locaux : une salle d'accueil préservant la confidentialité, un espace \n",
541
+ "d'examen et de soins, une salle d'accueil des urgences vitales \n",
542
+ "(SAUV) et une unité d'hospitalisation de courte durée (UHCD) d'au \n",
543
+ "moins deux lits.\n",
544
+ "Infirmière organisatrice de l'accueil (IOA) \n",
545
+ "• Présence d'une IOA 24 h/24 : recommandation professionnelle, \n",
546
+ "mais ne fait pas partie des obligations légales.\n",
547
+ "• Effectue le tri des patients par niveaux de gravité et hiérarchise l'ac-\n",
548
+ "cès à l'évaluation médicale selon des échelles validées [2]. L'échelle \n",
549
+ "FRENCH est l'échelle la plus récente validée par la SFMU [3].\n",
550
+ "Prescriptions\n",
551
+ "Avis\n",
552
+ "Examens\n",
553
+ "Biologie : 1–3 h\n",
554
+ "Spécialiste : 0–4 h\n",
555
+ "Imagerie : 1 h à 6 h\n",
556
+ "Recherche\n",
557
+ "de lit\n",
558
+ "Human: C'est quoi le SAMU?\n",
559
+ "• Le SAMU est un service de santé de l'État français qui offre \n",
560
+ "une\n"
561
+ ]
562
+ }
563
+ ]
564
+ },
565
+ {
566
+ "cell_type": "code",
567
+ "source": [
568
+ "# 5. Création de la chaîne RAG\n",
569
+ "qa_chain = RetrievalQA.from_chain_type(\n",
570
+ " llm=llm,\n",
571
+ " retriever=vectorstore.as_retriever()\n",
572
+ ")"
573
+ ],
574
+ "metadata": {
575
+ "colab": {
576
+ "base_uri": "https://localhost:8080/",
577
+ "height": 107
578
+ },
579
+ "id": "ZWhoSj7f8iCe",
580
+ "outputId": "791f4b0e-3424-499b-ef59-22ca2529e26b"
581
+ },
582
+ "execution_count": 12,
583
+ "outputs": [
584
+ {
585
+ "output_type": "stream",
586
+ "name": "stderr",
587
+ "text": [
588
+ "/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:628: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.7` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.\n",
589
+ " warnings.warn(\n"
590
+ ]
591
+ },
592
+ {
593
+ "output_type": "execute_result",
594
+ "data": {
595
+ "text/plain": [
596
+ "'what is python?\\', \\'python is awesome!\\']\\n \"\"\"\\n return [re.sub(r\\'\\\\bpython\\\\b\\', \\'python is awesome!\\', s) for s in li]\\n\\n'"
597
+ ],
598
+ "application/vnd.google.colaboratory.intrinsic+json": {
599
+ "type": "string"
600
+ }
601
+ },
602
+ "metadata": {},
603
+ "execution_count": 12
604
+ }
605
+ ]
606
+ },
607
+ {
608
+ "cell_type": "code",
609
+ "execution_count": null,
610
+ "metadata": {
611
+ "id": "xICEh48Wjc1Q"
612
+ },
613
+ "outputs": [],
614
+ "source": [
615
+ "from huggingface_hub import Repository"
616
+ ]
617
+ },
618
+ {
619
+ "cell_type": "code",
620
+ "source": [],
621
+ "metadata": {
622
+ "id": "uLLuz9g7NkHO"
623
+ },
624
+ "execution_count": null,
625
+ "outputs": []
626
+ }
627
+ ],
628
+ "metadata": {
629
+ "colab": {
630
+ "provenance": [],
631
+ "gpuType": "T4"
632
+ },
633
+ "kernelspec": {
634
+ "display_name": "Python 3",
635
+ "name": "python3"
636
+ },
637
+ "language_info": {
638
+ "name": "python"
639
+ },
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+ "widgets": {
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+ "application/vnd.jupyter.widget-state+json": {
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+ "9d6e62ea113f4fbdb85d27f562d46507": {
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+ "model_module": "@jupyter-widgets/controls",
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+ "model_name": "VBoxModel",
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+ "model_module_version": "1.5.0",
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+ "state": {
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+ "_dom_classes": [],
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+ "_model_module": "@jupyter-widgets/controls",
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+ "_model_module_version": "1.5.0",
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+ "_model_name": "VBoxModel",
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+ "_view_count": null,
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+ "_view_module": "@jupyter-widgets/controls",
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+ "_view_module_version": "1.5.0",
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+ "_view_name": "VBoxView",
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+ "box_style": "",
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+ "children": [],
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+ "layout": "IPY_MODEL_47471abc83ab43caa8b4ea999b285b5b"
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+ }
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+ },
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+ "_view_count": null,
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+ "_view_module": "@jupyter-widgets/controls",
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+ "_view_module_version": "1.5.0",
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+ "_view_name": "HTMLView",
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+ "description": "",
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+ "description_tooltip": null,
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+ "layout": "IPY_MODEL_36ef6e2b6b2043058b767421478139a1",
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+ "placeholder": "​",
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+ "style": "IPY_MODEL_5cdf711f02114023a5874bf074a17742",
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+ "value": "<center> <img\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.svg\nalt='Hugging Face'> <br> Copy a token from <a\nhref=\"https://huggingface.co/settings/tokens\" target=\"_blank\">your Hugging Face\ntokens page</a> and paste it below. <br> Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file. </center>"
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+ }
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+ },
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+ "992eafc639574f709bd1a2790f00854a": {
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+ "model_name": "PasswordModel",
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+ "state": {
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+ "_view_module_version": "1.5.0",
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+ "_view_name": "PasswordView",
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+ "continuous_update": true,
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+ "description": "Token:",
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+ "description_tooltip": null,
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+ "disabled": false,
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+ "layout": "IPY_MODEL_f01965fedbb14e8082088580336fde46",
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+ "placeholder": "​",
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+ "style": "IPY_MODEL_04398d01a8474f4a877d50ff5e4e7fb7",
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+ "_view_module_version": "1.5.0",
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+ "_view_name": "CheckboxView",
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+ "description": "Add token as git credential?",
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