mirror of
https://github.com/hwchase17/langchain.git
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480626dc99
…tch]: import models from community ran ```bash git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g" git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g" git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g" git checkout master libs/langchain/tests/unit_tests/llms git checkout master libs/langchain/tests/unit_tests/chat_models git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py make format cd libs/langchain; make format cd ../experimental; make format cd ../core; make format ```
139 lines
3.8 KiB
Plaintext
139 lines
3.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Arcee\n",
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"This notebook demonstrates how to use the `Arcee` class for generating text using Arcee's Domain Adapted Language Models (DALMs)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Setup\n",
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"\n",
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"Before using Arcee, make sure the Arcee API key is set as `ARCEE_API_KEY` environment variable. You can also pass the api key as a named parameter."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain_community.llms import Arcee\n",
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"\n",
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"# Create an instance of the Arcee class\n",
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"arcee = Arcee(\n",
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" model=\"DALM-PubMed\",\n",
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" # arcee_api_key=\"ARCEE-API-KEY\" # if not already set in the environment\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Additional Configuration\n",
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"\n",
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"You can also configure Arcee's parameters such as `arcee_api_url`, `arcee_app_url`, and `model_kwargs` as needed.\n",
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"Setting the `model_kwargs` at the object initialization uses the parameters as default for all the subsequent calls to the generate response."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"arcee = Arcee(\n",
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" model=\"DALM-Patent\",\n",
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" # arcee_api_key=\"ARCEE-API-KEY\", # if not already set in the environment\n",
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" arcee_api_url=\"https://custom-api.arcee.ai\", # default is https://api.arcee.ai\n",
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" arcee_app_url=\"https://custom-app.arcee.ai\", # default is https://app.arcee.ai\n",
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" model_kwargs={\n",
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" \"size\": 5,\n",
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" \"filters\": [\n",
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" {\n",
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" \"field_name\": \"document\",\n",
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" \"filter_type\": \"fuzzy_search\",\n",
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" \"value\": \"Einstein\",\n",
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" }\n",
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" ],\n",
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" },\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Generating Text\n",
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"\n",
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"You can generate text from Arcee by providing a prompt. Here's an example:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Generate text\n",
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"prompt = \"Can AI-driven music therapy contribute to the rehabilitation of patients with disorders of consciousness?\"\n",
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"response = arcee(prompt)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Additional parameters\n",
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"\n",
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"Arcee allows you to apply `filters` and set the `size` (in terms of count) of retrieved document(s) to aid text generation. Filters help narrow down the results. Here's how to use these parameters:\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Define filters\n",
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"filters = [\n",
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" {\"field_name\": \"document\", \"filter_type\": \"fuzzy_search\", \"value\": \"Einstein\"},\n",
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" {\"field_name\": \"year\", \"filter_type\": \"strict_search\", \"value\": \"1905\"},\n",
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"]\n",
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"\n",
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"# Generate text with filters and size params\n",
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"response = arcee(prompt, size=5, filters=filters)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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