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{
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.7.12",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"colab": {
"provenance": [],
"gpuType": "T4"
},
"accelerator": "GPU"
},
"nbformat_minor": 0,
"nbformat": 4,
"cells": [
{
"cell_type": "markdown",
"source": [
"# Document Question-Answer [h2oGPT](https://github.com/h2oai/h2ogpt)\n",
"\n",
"In this notebook, we demonstrate how one can use h2oGPT with a large language model.\n",
"\n",
"To begin, please get free ngrok account to get auth token (e.g.) using your Google email/login and get token: https://dashboard.ngrok.com/get-started/setup . You will be asked for this token below in an input box."
],
"metadata": {
"id": "a5WqLjn4-chc"
}
},
{
"cell_type": "code",
"source": [
"!git clone https://github.com/h2oai/h2ogpt.git\n",
"!cd h2ogpt && git checkout 2668694581347b0d1afe76760213db46f7214126 -q\n",
"!cp -ar h2ogpt/. ./\n",
"!rm -r h2ogpt"
],
"metadata": {
"execution": {
"iopub.status.busy": "2023-04-19T05:04:22.652611Z",
"iopub.execute_input": "2023-04-19T05:04:22.653611Z",
"iopub.status.idle": "2023-04-19T05:04:28.381885Z",
"shell.execute_reply.started": "2023-04-19T05:04:22.653556Z",
"shell.execute_reply": "2023-04-19T05:04:28.380315Z"
},
"trusted": true,
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CD1TvqW8-che",
"outputId": "29c8e403-b92e-4e16-c2d7-391aac87531c"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'h2ogpt'...\n",
"remote: Enumerating objects: 9204, done.\u001b[K\n",
"remote: Counting objects: 100% (1703/1703), done.\u001b[K\n",
"remote: Compressing objects: 100% (375/375), done.\u001b[K\n",
"remote: Total 9204 (delta 1413), reused 1496 (delta 1322), pack-reused 7501\u001b[K\n",
"Receiving objects: 100% (9204/9204), 16.93 MiB | 18.04 MiB/s, done.\n",
"Resolving deltas: 100% (6161/6161), done.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Install pyhon 3.10 that will be used within pipenv\n",
"!sudo add-apt-repository ppa:deadsnakes/ppa -y > /dev/null\n",
"!sudo apt install python3.10 python3.10-distutils psmisc -y > /dev/null\n",
"!curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10 > /dev/null"
],
"metadata": {
"execution": {
"iopub.status.busy": "2023-04-19T05:04:36.253404Z",
"iopub.execute_input": "2023-04-19T05:04:36.254498Z",
"iopub.status.idle": "2023-04-19T05:09:08.846475Z",
"shell.execute_reply.started": "2023-04-19T05:04:36.254436Z",
"shell.execute_reply": "2023-04-19T05:09:08.844973Z"
},
"trusted": true,
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YWdHujUB-chf",
"outputId": "ad630c15-6ca5-4137-9647-d8afa28cef89"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"WARNING: apt does not have a stable CLI interface. Use with caution in scripts.\n",
"\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0m"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Install dependencies\n",
"!for fil in requirements.txt reqs_optional/requirements_optional_langchain.txt reqs_optional/requirements_optional_gpt4all.txt reqs_optional/requirements_optional_langchain.gpllike.txt reqs_optional/requirements_optional_langchain.urls.txt ; do pip install -r $fil ; done\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "RGWAnUt2sA-V",
"outputId": "d56792f7-c96e-4f3e-89fa-870acbecd35f"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting git+https://github.com/huggingface/peft.git@0b62b4378b4ce9367932c73540349da9a41bdea8 (from -r requirements.txt (line 22))\n",
" Cloning https://github.com/huggingface/peft.git (to revision 0b62b4378b4ce9367932c73540349da9a41bdea8) to /tmp/pip-req-build-kodjnz4z\n",
" Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft.git /tmp/pip-req-build-kodjnz4z\n",
" Running command git rev-parse -q --verify 'sha^0b62b4378b4ce9367932c73540349da9a41bdea8'\n",
" Running command git fetch -q https://github.com/huggingface/peft.git 0b62b4378b4ce9367932c73540349da9a41bdea8\n",
" Running command git checkout -q 0b62b4378b4ce9367932c73540349da9a41bdea8\n",
" Resolved https://github.com/huggingface/peft.git to commit 0b62b4378b4ce9367932c73540349da9a41bdea8\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Ignoring pypandoc: markers 'sys_platform == \"darwin\" and platform_machine == \"arm64\"' don't match your environment\n",
"Collecting datasets==2.13.0 (from -r requirements.txt (line 2))\n",
" Downloading datasets-2.13.0-py3-none-any.whl (485 kB)\n",
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"\u001b[?25hBuilding wheels for collected packages: fire, rouge_score, alt-profanity-check, peft, ffmpy, intervaltree\n",
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" Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4694 sha256=bf333b9060909de7c400671201f2d47c4cb9e21d73ea5a3a266f65c0a4cdf488\n",
" Stored in directory: /root/.cache/pip/wheels/0c/c2/0e/3b9c6845c6a4e35beb90910cc70d9ac9ab5d47402bd62af0df\n",
" Building wheel for intervaltree (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for intervaltree: filename=intervaltree-3.1.0-py2.py3-none-any.whl size=26099 sha256=863b46bb844762d41448b6f8a37e546a4132398dc48b769b3bdf58e3c891b814\n",
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"Successfully built fire rouge_score alt-profanity-check peft ffmpy intervaltree\n",
"Installing collected packages: tokenizers, sentencepiece, safetensors, rfc3987, pydub, monotonic, instructorembedding, ffmpy, bitsandbytes, zstandard, xxhash, websockets, uri-template, ujson, uc-micro-py, tzdata, smmap, simplejson, semantic-version, rfc3339-validator, python-multipart, python-dotenv, pyphen, pypandoc_binary, pynvml, PyJWT, portalocker, orjson, openpyxl, numpy, markdown-it-py, loralib, jsonref, jsonpointer, jsonlines, jmespath, intervaltree, h11, fqdn, fire, execnet, einops, docutils, dill, colorama, better-profanity, beautifulsoup4, APScheduler, aiofiles, uvicorn, tiktoken, textstat, swagger-spec-validator, starlette, sacrebleu, rouge_score, responses, pytest-xdist, pandas, multiprocess, mdit-py-plugins, lm_dataformat, linkify-it-py, huggingface_hub, httpcore, gitdb, botocore, bioc, arrow, transformers, text-generation, s3transfer, openai, isoduration, httpx, GitPython, fastapi, tensorboard, gradio_client, datasets, boto3, alt-profanity-check, gradio, evaluate, bravado-core, bravado, neptune, accelerate, peft\n",
" Attempting uninstall: openpyxl\n",
" Found existing installation: openpyxl 3.0.10\n",
" Uninstalling openpyxl-3.0.10:\n",
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" Attempting uninstall: numpy\n",
" Found existing installation: numpy 1.22.4\n",
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" Attempting uninstall: markdown-it-py\n",
" Found existing installation: markdown-it-py 3.0.0\n",
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" Attempting uninstall: docutils\n",
" Found existing installation: docutils 0.16\n",
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" Attempting uninstall: pandas\n",
" Found existing installation: pandas 1.5.3\n",
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" Attempting uninstall: tensorboard\n",
" Found existing installation: tensorboard 2.12.3\n",
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"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"sphinx 3.5.4 requires docutils<0.17,>=0.12, but you have docutils 0.20.1 which is incompatible.\n",
"google-colab 1.0.0 requires pandas==1.5.3, but you have pandas 2.0.2 which is incompatible.\n",
"numba 0.56.4 requires numpy<1.24,>=1.18, but you have numpy 1.24.3 which is incompatible.\n",
"tensorflow 2.12.0 requires numpy<1.24,>=1.22, but you have numpy 1.24.3 which is incompatible.\n",
"tensorflow 2.12.0 requires tensorboard<2.13,>=2.12, but you have tensorboard 2.13.0 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed APScheduler-3.10.1 GitPython-3.1.32 PyJWT-2.7.0 accelerate-0.20.3 aiofiles-23.1.0 alt-profanity-check-1.2.2 arrow-1.2.3 beautifulsoup4-4.12.2 better-profanity-0.7.0 bioc-2.0 bitsandbytes-0.39.0 boto3-1.26.101 botocore-1.29.101 bravado-11.0.3 bravado-core-5.17.1 colorama-0.4.6 datasets-2.13.0 dill-0.3.6 docutils-0.20.1 einops-0.6.1 evaluate-0.4.0 execnet-2.0.2 fastapi-0.100.0 ffmpy-0.3.0 fire-0.5.0 fqdn-1.5.1 gitdb-4.0.10 gradio-3.35.2 gradio_client-0.2.7 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface_hub-0.15.1 instructorembedding-1.0.1 intervaltree-3.1.0 isoduration-20.11.0 jmespath-1.0.1 jsonlines-3.1.0 jsonpointer-2.4 jsonref-1.1.0 linkify-it-py-2.0.2 lm_dataformat-0.0.20 loralib-0.1.1 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 monotonic-1.6 multiprocess-0.70.14 neptune-1.2.0 numpy-1.24.3 openai-0.27.8 openpyxl-3.1.2 orjson-3.9.2 pandas-2.0.2 peft-0.4.0.dev0 portalocker-2.7.0 pydub-0.25.1 pynvml-11.5.0 pypandoc_binary-1.11 pyphen-0.14.0 pytest-xdist-3.2.1 python-dotenv-1.0.0 python-multipart-0.0.6 responses-0.18.0 rfc3339-validator-0.1.4 rfc3987-1.3.8 rouge_score-0.1.2 s3transfer-0.6.1 sacrebleu-2.3.1 safetensors-0.3.1 semantic-version-2.10.0 sentencepiece-0.1.99 simplejson-3.19.1 smmap-5.0.0 starlette-0.27.0 swagger-spec-validator-3.0.3 tensorboard-2.13.0 text-generation-0.6.0 textstat-0.7.3 tiktoken-0.4.0 tokenizers-0.13.3 transformers-4.30.2 tzdata-2023.3 uc-micro-py-1.0.2 ujson-5.8.0 uri-template-1.3.0 uvicorn-0.22.0 websockets-11.0.3 xxhash-3.2.0 zstandard-0.21.0\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
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"Collecting timm>=0.9.2 (from effdet->layoutparser[layoutmodels,tesseract]->unstructured-inference==0.5.1->unstructured[local-inference]==0.7.4->-r reqs_optional/requirements_optional_langchain.txt (line 20))\n",
" Downloading timm-0.9.2-py3-none-any.whl (2.2 MB)\n",
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"Collecting omegaconf>=2.0 (from effdet->layoutparser[layoutmodels,tesseract]->unstructured-inference==0.5.1->unstructured[local-inference]==0.7.4->-r reqs_optional/requirements_optional_langchain.txt (line 20))\n",
" Downloading omegaconf-2.3.0-py3-none-any.whl (79 kB)\n",
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"\u001b[?25hRequirement already satisfied: portalocker in /usr/local/lib/python3.10/dist-packages (from iopath->layoutparser[layoutmodels,tesseract]->unstructured-inference==0.5.1->unstructured[local-inference]==0.7.4->-r reqs_optional/requirements_optional_langchain.txt (line 20)) (2.7.0)\n",
"Collecting pillow (from -r reqs_optional/requirements_optional_langchain.txt (line 23))\n",
" Downloading Pillow-10.0.0-cp310-cp310-manylinux_2_28_x86_64.whl (3.4 MB)\n",
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"\u001b[?25hCollecting Wand>=0.6.10 (from pdfplumber->layoutparser[layoutmodels,tesseract]->unstructured-inference==0.5.1->unstructured[local-inference]==0.7.4->-r reqs_optional/requirements_optional_langchain.txt (line 20))\n",
" Downloading Wand-0.6.11-py2.py3-none-any.whl (143 kB)\n",
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"\u001b[?25hCollecting antlr4-python3-runtime==4.9.* (from omegaconf>=2.0->effdet->layoutparser[layoutmodels,tesseract]->unstructured-inference==0.5.1->unstructured[local-inference]==0.7.4->-r reqs_optional/requirements_optional_langchain.txt (line 20))\n",
" Downloading antlr4-python3-runtime-4.9.3.tar.gz (117 kB)\n",
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"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->effdet->layoutparser[layoutmodels,tesseract]->unstructured-inference==0.5.1->unstructured[local-inference]==0.7.4->-r reqs_optional/requirements_optional_langchain.txt (line 20)) (3.1.0)\n",
"Building wheels for collected packages: sentence_transformers, hnswlib, validators, python-docx, python-pptx, olefile, iopath, antlr4-python3-runtime\n",
" Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for sentence_transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125926 sha256=db35896d0da5bc0be5f8c5c6cb121c951a5f8cea6f3854c6cc6ea63f45e57726\n",
" Stored in directory: /root/.cache/pip/wheels/62/f2/10/1e606fd5f02395388f74e7462910fe851042f97238cbbd902f\n",
" Building wheel for hnswlib (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for hnswlib: filename=hnswlib-0.7.0-cp310-cp310-linux_x86_64.whl size=2119694 sha256=309e295edfd8427215f8373bd38165dd42bbcf46ec3f9905f03c80b8773ba16a\n",
" Stored in directory: /root/.cache/pip/wheels/8a/ae/ec/235a682e0041fbaeee389843670581ec6c66872db856dfa9a4\n",
" Building wheel for validators (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for validators: filename=validators-0.20.0-py3-none-any.whl size=19579 sha256=65f5a3bf7a54a8841222020f1e7cd8aac83e009ee2506a86f13e6d22c0c0c87b\n",
" Stored in directory: /root/.cache/pip/wheels/f2/ed/dd/d3a556ad245ef9dc570c6bcd2f22886d17b0b408dd3bbb9ac3\n",
" Building wheel for python-docx (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for python-docx: filename=python_docx-0.8.11-py3-none-any.whl size=184491 sha256=cc2476400bfc164530b5ff1a5ce8ba9678118e9bbde498f175a5b5552cee9735\n",
" Stored in directory: /root/.cache/pip/wheels/80/27/06/837436d4c3bd989b957a91679966f207bfd71d358d63a8194d\n",
" Building wheel for python-pptx (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for python-pptx: filename=python_pptx-0.6.21-py3-none-any.whl size=470935 sha256=775f75fe576422503e1c9d485a3d5c9728168d839da530453c374c14706a0a59\n",
" Stored in directory: /root/.cache/pip/wheels/ea/dd/74/01b3ec7256a0800b99384e9a0f7620e358afc3a51a59bf9b49\n",
" Building wheel for olefile (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for olefile: filename=olefile-0.46-py2.py3-none-any.whl size=35417 sha256=18670533cecd2009791cb2f39f58a5bd9ead12cff2471de52e77ad2b6b7d3651\n",
" Stored in directory: /root/.cache/pip/wheels/02/39/c0/9eb1f7a42b4b38f6f333b6314d4ed11c46f12a0f7b78194f0d\n",
" Building wheel for iopath (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for iopath: filename=iopath-0.1.10-py3-none-any.whl size=31531 sha256=320d7b3644fd2c7993fbb7fe9d438f44a755ff0726c1cfe67e156c4b274797c9\n",
" Stored in directory: /root/.cache/pip/wheels/9a/a3/b6/ac0fcd1b4ed5cfeb3db92e6a0e476cfd48ed0df92b91080c1d\n",
" Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144554 sha256=2c98a2e1cb7927ba47149d253334d33862bd5b89c506453342168f22caa78e6b\n",
" Stored in directory: /root/.cache/pip/wheels/12/93/dd/1f6a127edc45659556564c5730f6d4e300888f4bca2d4c5a88\n",
"Successfully built sentence_transformers hnswlib validators python-docx python-pptx olefile iopath antlr4-python3-runtime\n",
"Installing collected packages: Wand, rfc3986, filetype, commonmark, antlr4-python3-runtime, XlsxWriter, validators, uvloop, tabulate, rich, requests, python-magic, python-docx, pypdf, pypandoc, prettytable, pillow, overrides, omegaconf, olefile, numpy, mypy-extensions, marshmallow, lz4, iopath, importlib-metadata, humanfriendly, httptools, deprecated, backoff, watchfiles, typing-inspect, requests_file, python-pptx, pytesseract, posthog, pip-licenses, pdf2image, pandas, openapi-schema-pydantic, msg-parser, marshmallow-enum, langchainplus-sdk, httpcore, hnswlib, cryptography, coloredlogs, clickhouse-connect, pdfminer.six, onnxruntime, httpx, dataclasses-json, authlib, weaviate-client, pdfplumber, langchain, chromadb, argilla, unstructured, layoutparser, timm, effdet, unstructured-inference, sentence_transformers\n",
" Attempting uninstall: tabulate\n",
" Found existing installation: tabulate 0.8.10\n",
" Uninstalling tabulate-0.8.10:\n",
" Successfully uninstalled tabulate-0.8.10\n",
" Attempting uninstall: rich\n",
" Found existing installation: rich 13.4.2\n",
" Uninstalling rich-13.4.2:\n",
" Successfully uninstalled rich-13.4.2\n",
" Attempting uninstall: requests\n",
" Found existing installation: requests 2.27.1\n",
" Uninstalling requests-2.27.1:\n",
" Successfully uninstalled requests-2.27.1\n",
" Attempting uninstall: prettytable\n",
" Found existing installation: prettytable 0.7.2\n",
" Uninstalling prettytable-0.7.2:\n",
" Successfully uninstalled prettytable-0.7.2\n",
" Attempting uninstall: pillow\n",
" Found existing installation: Pillow 8.4.0\n",
" Uninstalling Pillow-8.4.0:\n",
" Successfully uninstalled Pillow-8.4.0\n",
" Attempting uninstall: numpy\n",
" Found existing installation: numpy 1.24.3\n",
" Uninstalling numpy-1.24.3:\n",
" Successfully uninstalled numpy-1.24.3\n",
" Attempting uninstall: pandas\n",
" Found existing installation: pandas 2.0.2\n",
" Uninstalling pandas-2.0.2:\n",
" Successfully uninstalled pandas-2.0.2\n",
" Attempting uninstall: httpcore\n",
" Found existing installation: httpcore 0.17.3\n",
" Uninstalling httpcore-0.17.3:\n",
" Successfully uninstalled httpcore-0.17.3\n",
" Attempting uninstall: httpx\n",
" Found existing installation: httpx 0.24.1\n",
" Uninstalling httpx-0.24.1:\n",
" Successfully uninstalled httpx-0.24.1\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"sphinx 3.5.4 requires docutils<0.17,>=0.12, but you have docutils 0.20.1 which is incompatible.\n",
"google-colab 1.0.0 requires requests==2.27.1, but you have requests 2.31.0 which is incompatible.\n",
"ipython-sql 0.4.1 requires prettytable<1, but you have prettytable 3.8.0 which is incompatible.\n",
"tensorflow 2.12.0 requires tensorboard<2.13,>=2.12, but you have tensorboard 2.13.0 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed Wand-0.6.11 XlsxWriter-3.1.2 antlr4-python3-runtime-4.9.3 argilla-1.12.0 authlib-1.2.1 backoff-2.2.1 chromadb-0.3.25 clickhouse-connect-0.6.6 coloredlogs-15.0.1 commonmark-0.9.1 cryptography-41.0.1 dataclasses-json-0.5.9 deprecated-1.2.14 effdet-0.4.1 filetype-1.2.0 hnswlib-0.7.0 httpcore-0.16.3 httptools-0.6.0 httpx-0.23.3 humanfriendly-10.0 importlib-metadata-6.8.0 iopath-0.1.10 langchain-0.0.202 langchainplus-sdk-0.0.20 layoutparser-0.3.4 lz4-4.3.2 marshmallow-3.19.0 marshmallow-enum-1.5.1 msg-parser-1.2.0 mypy-extensions-1.0.0 numpy-1.23.5 olefile-0.46 omegaconf-2.3.0 onnxruntime-1.15.1 openapi-schema-pydantic-1.2.4 overrides-7.3.1 pandas-1.5.3 pdf2image-1.16.3 pdfminer.six-20221105 pdfplumber-0.9.0 pillow-10.0.0 pip-licenses-4.3.0 posthog-3.0.1 prettytable-3.8.0 pypandoc-1.11 pypdf-3.9.1 pytesseract-0.3.10 python-docx-0.8.11 python-magic-0.4.27 python-pptx-0.6.21 requests-2.31.0 requests_file-1.5.1 rfc3986-1.5.0 rich-13.0.1 sentence_transformers-2.2.2 tabulate-0.9.0 timm-0.9.2 typing-inspect-0.9.0 unstructured-0.7.4 unstructured-inference-0.5.1 uvloop-0.17.0 validators-0.20.0 watchfiles-0.19.0 weaviate-client-3.20.0\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0mCollecting gpt4all==0.3.3 (from -r reqs_optional/requirements_optional_gpt4all.txt (line 1))\n",
" Downloading gpt4all-0.3.3-py3-none-manylinux1_x86_64.whl (2.3 MB)\n",
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"\u001b[?25hCollecting llama-cpp-python==0.1.68 (from -r reqs_optional/requirements_optional_gpt4all.txt (line 2))\n",
" Downloading llama_cpp_python-0.1.68.tar.gz (1.6 MB)\n",
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"\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from gpt4all==0.3.3->-r reqs_optional/requirements_optional_gpt4all.txt (line 1)) (2.31.0)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from gpt4all==0.3.3->-r reqs_optional/requirements_optional_gpt4all.txt (line 1)) (4.65.0)\n",
"Requirement already satisfied: typing-extensions>=4.5.0 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python==0.1.68->-r reqs_optional/requirements_optional_gpt4all.txt (line 2)) (4.6.3)\n",
"Requirement already satisfied: numpy>=1.20.0 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python==0.1.68->-r reqs_optional/requirements_optional_gpt4all.txt (line 2)) (1.23.5)\n",
"Collecting diskcache>=5.6.1 (from llama-cpp-python==0.1.68->-r reqs_optional/requirements_optional_gpt4all.txt (line 2))\n",
" Downloading diskcache-5.6.1-py3-none-any.whl (45 kB)\n",
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"\u001b[?25hRequirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->gpt4all==0.3.3->-r reqs_optional/requirements_optional_gpt4all.txt (line 1)) (2.0.12)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->gpt4all==0.3.3->-r reqs_optional/requirements_optional_gpt4all.txt (line 1)) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->gpt4all==0.3.3->-r reqs_optional/requirements_optional_gpt4all.txt (line 1)) (1.26.16)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->gpt4all==0.3.3->-r reqs_optional/requirements_optional_gpt4all.txt (line 1)) (2023.5.7)\n",
"Building wheels for collected packages: llama-cpp-python\n",
" Building wheel for llama-cpp-python (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.68-cp310-cp310-linux_x86_64.whl size=264473 sha256=cc7e08b27aa492bfa9a92d7d02847e38c17e823d9c5f099a68a75781c15ad944\n",
" Stored in directory: /root/.cache/pip/wheels/df/f2/fb/b8153a244ace60fa4759cbd3d4881a2132b71e0e894ed6f29b\n",
"Successfully built llama-cpp-python\n",
"Installing collected packages: diskcache, llama-cpp-python, gpt4all\n",
"Successfully installed diskcache-5.6.1 gpt4all-0.3.3 llama-cpp-python-0.1.68\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0mCollecting arxiv==1.4.7 (from -r reqs_optional/requirements_optional_langchain.gpllike.txt (line 1))\n",
" Downloading arxiv-1.4.7-py3-none-any.whl (12 kB)\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Building wheels for collected packages: sgmllib3k\n",
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"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
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" Uninstalling greenlet-2.0.2:\n",
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"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0m"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Sign-up for free ngrok account using (e.g.) your Google email/login and get token: https://dashboard.ngrok.com/get-started/setup\n",
"\n",
"!pip install pyngrok\n",
"import getpass\n",
"from pyngrok import ngrok, conf\n",
"\n",
"print(\"Enter your authtoken, which can be copied from https://dashboard.ngrok.com/auth\")\n",
"conf.get_default().auth_token = getpass.getpass()\n",
"\n",
"# Open an http ngrok tunnel\n",
"connection_string = ngrok.connect(7860, \"http\").public_url\n",
"print(\"Once server is up and says Running on local URL: http://0.0.0.0:7860, click on this link, then click on Visit Site: %s\" % connection_string)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "U1b_FOQZ8snb",
"outputId": "e36eb88f-824c-4e0e-8318-00c72ebe4c02"
},
"execution_count": null,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: pyngrok in /usr/local/lib/python3.10/dist-packages (6.0.0)\n",
"Requirement already satisfied: PyYAML in /usr/local/lib/python3.10/dist-packages (from pyngrok) (6.0)\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0mEnter your authtoken, which can be copied from https://dashboard.ngrok.com/auth\n",
"··········\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"WARNING:pyngrok.process.ngrok:t=2023-07-11T03:10:49+0000 lvl=warn msg=\"ngrok config file found at legacy location, move to XDG location\" xdg_path=/root/.config/ngrok/ngrok.yml legacy_path=/root/.ngrok2/ngrok.yml\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Once server is up, go to this link, then click on Visit Site: https://1319-35-204-83-66.ngrok-free.app\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!GRADIO_SERVER_PORT=7860 python generate.py --base_model=togethercomputer/RedPajama-INCITE-Chat-3B-v1 --prompt_type=human_bot --score_model=None --langchain_mode=LLM --langchain_modes=\"['LLM', 'UserData', 'MyData']\" --user_path=user_path --share=False --hf_embedding_model=sentence-transformers/all-MiniLM-L6-v2"
],
"metadata": {
"execution": {
"iopub.status.busy": "2023-04-19T05:18:33.037534Z",
"iopub.execute_input": "2023-04-19T05:18:33.038673Z",
"iopub.status.idle": "2023-04-19T05:18:33.045040Z",
"shell.execute_reply.started": "2023-04-19T05:18:33.038615Z",
"shell.execute_reply": "2023-04-19T05:18:33.043977Z"
},
"trusted": true,
"id": "OTYGZLxs-chg",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "8574bda0-df6d-444a-f766-8ac4b0a82baf"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Using Model togethercomputer/redpajama-incite-chat-3b-v1\n",
"Prep: persist_directory=db_dir_LLM does not exist, regenerating\n",
"Prep: persist_directory=db_dir_UserData does not exist, regenerating\n",
"0it [00:00, ?it/s]\n",
"0it [00:00, ?it/s]\n",
"Loaded 0 sources for potentially adding to UserData\n",
"2023-07-11 03:11:10.954918: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
"The model weights are not tied. Please use the `tie_weights` method before using the `infer_auto_device` function.\n",
"device_map: {'': 0}\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"WARNING:pyngrok.process.ngrok:t=2023-07-11T03:11:59+0000 lvl=warn msg=\"failed to open private leg\" id=ff67c2322fe7 privaddr=localhost:7860 err=\"dial tcp 127.0.0.1:7860: connect: connection refused\"\n",
"WARNING:pyngrok.process.ngrok:t=2023-07-11T03:11:59+0000 lvl=warn msg=\"failed to open private leg\" id=850630bf7afa privaddr=localhost:7860 err=\"dial tcp 127.0.0.1:7860: connect: connection refused\"\n",
"WARNING:pyngrok.process.ngrok:t=2023-07-11T03:12:46+0000 lvl=warn msg=\"failed to open private leg\" id=8b6a5cbc7a23 privaddr=localhost:7860 err=\"dial tcp 127.0.0.1:7860: connect: connection refused\"\n",
"WARNING:pyngrok.process.ngrok:t=2023-07-11T03:12:47+0000 lvl=warn msg=\"failed to open private leg\" id=32a4dca6ad43 privaddr=localhost:7860 err=\"dial tcp 127.0.0.1:7860: connect: connection refused\"\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"\rDownloading (…)neration_config.json: 0% 0.00/111 [00:00<?, ?B/s]\rDownloading (…)neration_config.json: 100% 111/111 [00:00<00:00, 859kB/s]\n",
"Model {'base_model': 'togethercomputer/RedPajama-INCITE-Chat-3B-v1', 'tokenizer_base_model': '', 'lora_weights': '', 'inference_server': '', 'prompt_type': 'human_bot', 'prompt_dict': {'promptA': '', 'promptB': '', 'PreInstruct': '<human>: ', 'PreInput': None, 'PreResponse': '<bot>:', 'terminate_response': ['\\n<human>:', '\\n<bot>:', '<human>:', '<bot>:', '<bot>:'], 'chat_sep': '\\n', 'chat_turn_sep': '\\n', 'humanstr': '<human>:', 'botstr': '<bot>:', 'generates_leading_space': True}}\n",
"Running on local URL: http://0.0.0.0:7860\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n",
"The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
"Setting `pad_token_id` to `eos_token_id`:0 for open-end generation.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# can kill old ngrok + generate and try again\n",
"do_kill = False\n",
"if do_kill:\n",
" !pkill -f generate --signal 9\n",
" !pkill -f frpc_linux_amd --signal 9\n",
" !pkill -f ngrok --signal 9"
],
"metadata": {
"id": "dxd6BkoP9sKh"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "wsYrY5AiP94S"
},
"execution_count": null,
"outputs": []
}
]
} |