tutorial40

tutorial40/main.py

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+from langchain_openai import ChatOpenAI
+from langchain.prompts import HumanMessagePromptTemplate,ChatPromptTemplate,PromptTemplate
+from langchain.output_parsers import StructuredOutputParser,ResponseSchema
+from langchain.chains import LLMChain
+
+llm=ChatOpenAI(model="gpt-4",temperature=0.0)
+
+tagline=ResponseSchema(
+    name="tagline",description="generated tagline for the input company description"
+)
+rating=ResponseSchema(
+    name="rating",description="this is a whole number ,generated rating between 1-100 for the input company description"
+)
+rs=[tagline,rating]
+output_parser=StructuredOutputParser.from_response_schemas(rs)
+format_instruction=output_parser.get_format_instructions()
+ts="""
+you are master at suggesting unique tagline for a company based on a input description.
+take the company description below delimited by triple backticks and use it to create the unique tagline.
+input description: ```{input}```
+the based on the input you should create a tagline and popularity score for the generates tagline between 1-100 basaed on your knowledge and analysis.
+{format_instruction}
+"""
+prompt=ChatPromptTemplate(
+    messages=[
+        HumanMessagePromptTemplate.from_template(ts)
+    ],
+    input_variables=["input"],
+    partial_variables={
+    "format_instruction":format_instruction},
+    output_parser=output_parser
+)
+chain=LLMChain(llm=llm,prompt=prompt)
+response=chain.predict_and_parse(input="this is company makes cool and trendy watches for indian youth ")
+print(response["tagline"])