mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
63601551b1
- Description: improve the ernie chat model. - fix missing kwargs to payload - new test cases - add some debug level log - improve description - Issue: None - Dependencies: None - Tag maintainer: @baskaryan
89 lines
2.1 KiB
Plaintext
89 lines
2.1 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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"# ERNIE-Bot Chat\n",
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"\n",
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"[ERNIE-Bot](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/jlil56u11) is a large language model developed by Baidu, covering a huge amount of Chinese data.\n",
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"This notebook covers how to get started with ErnieBot chat models."
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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": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chat_models import ErnieBotChat\n",
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"from langchain.schema import HumanMessage"
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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": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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"chat = ErnieBotChat(ernie_client_id='YOUR_CLIENT_ID', ernie_client_secret='YOUR_CLIENT_SECRET')"
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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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"or you can set `client_id` and `client_secret` in your environment variables\n",
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"```bash\n",
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"export ERNIE_CLIENT_ID=YOUR_CLIENT_ID\n",
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"export ERNIE_CLIENT_SECRET=YOUR_CLIENT_SECRET\n",
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"```"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"AIMessage(content='Hello, I am an artificial intelligence language model. My purpose is to help users answer questions or provide information. What can I do for you?', additional_kwargs={}, example=False)"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"chat([\n",
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" HumanMessage(content='hello there, who are you?')\n",
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"])"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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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": "3.11.4"
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},
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"orig_nbformat": 4
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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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