| review = """ | |
| I bought last week the latest Samsung washing machine. | |
| The product is too expensive for what it is. | |
| I won't recommend it to anyone. | |
| """ | |
| from langchain.llms import OpenAI | |
| from langchain import PromptTemplate | |
| llm = OpenAI(model_name="text-davinci-003") | |
| template = """ | |
| For any new review that is sent to you, extract the following information: | |
| Product: What product is the buyer reviewing?\ | |
| Answer the name of the product. If this information is not found, output unknown. | |
| Reason why: Why's the buyer satisfied or unsatisfied? | |
| Answer the main reason why. Answer unknown if you do not find the info. | |
| Satisfied: Is the buyer satisfied with the product? \ | |
| Answer True if yes, False if not or unknown. | |
| Format the output as JSON with the following keys: | |
| Product | |
| Satisfaction | |
| Reason | |
| review: {review} | |
| """ | |
| prompt = PromptTemplate( | |
| input_variables=["review"], | |
| template=template, | |
| ) | |
| final_prompt = prompt.format(review=review ) | |
| print(f"LLM Output: {llm(final_prompt)}") |