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Runtime error
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{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"from langchain import OpenAI, LLMMathChain, LLMChain\n",
"from langchain.prompts import PromptTemplate\n",
"\n",
"llm = OpenAI(temperature=0)\n",
"\n",
"prompt = PromptTemplate(\n",
" input_variables = [\"question\"],\n",
" template = \"{question}\"\n",
")\n",
"llmChain = LLMChain(llm=llm, prompt=prompt)\n",
"llm_math = LLMMathChain.from_llm(llm, verbose=True)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'\\n\\n2的4次方等于16'"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# llmChain.run(question=\"2的0.1次方\")\n",
"llmChain.run(question=\"2的4次方\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new LLMMathChain chain...\u001b[0m\n",
"2的4次方\u001b[32;1m\u001b[1;3m\n",
"```text\n",
"2**4\n",
"```\n",
"...numexpr.evaluate(\"2**4\")...\n",
"\u001b[0m\n",
"Answer: \u001b[33;1m\u001b[1;3m16\u001b[0m\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'Answer: 16'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# llm_math.run(\"2的0.1次方\")\n",
"llm_math.run(\"2的4次方\")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": []
}
],
"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": "3.11.3"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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