add sequential chain

README.md

@@ -46,5 +46,6 @@ TODO:
 1.看一下ONNXruntime   
 2.详细看一下gptcache   
 3.看一下Hugging Face Hub上有哪些开源model，这些model大模型环境是跑在FuggingFace上的？如果要用的话，可以直接用还是自己搭server环境？      
+4.PromptTemplate,可以有多个input/output吗，怎么使用？参见llms_sequential_chain.ipynb   
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

llms_sequential_chain.ipynb

@@ -0,0 +1,104 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.chains import SimpleSequentialChain\n",
+    "from langchain.llms import OpenAI\n",
+    "from langchain import LLMChain\n",
+    "from langchain import PromptTemplate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "llm1 = OpenAI(temperature=0.5)\n",
+    "prompt1 = PromptTemplate(\n",
+    "    input_variables=[\"arithmetic\"],\n",
+    "    template=\"请出一道小学四则运算题，{arithmetic}，只有题目，没有答案。\",\n",
+    ")\n",
+    "chain1 = LLMChain(llm=llm1,prompt=prompt1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "llm2 = OpenAI(temperature=0.5)\n",
+    "prompt2 = PromptTemplate(\n",
+    "    input_variables=[\"question\"],\n",
+    "    template=\"{question}，答案是？\",\n",
+    ")\n",
+    "chain2 = LLMChain(llm=llm2, prompt=prompt2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "\u001b[1m> Entering new SimpleSequentialChain chain...\u001b[0m\n",
+      "\u001b[36;1m\u001b[1;3m\n",
+      "\n",
+      "6 - 3 = ?\u001b[0m\n",
+      "\u001b[33;1m\u001b[1;3m\n",
+      "\n",
+      "3\u001b[0m\n",
+      "\n",
+      "\u001b[1m> Finished chain.\u001b[0m\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'3'"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "overall_chain = SimpleSequentialChain(chains=[chain1, chain2], verbose=True)\n",
+    "overall_chain.run(\"减法\").strip()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.10"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}