app.py

from dotenv import load_dotenv
from langchain import HuggingFaceHub, LLMChain
from langchain.prompts import PromptTemplate

load_dotenv()

# hub_llm = HuggingFaceHub(repo_id="mrm8488/t5-base-finetuned-wikiSQL")

# prompt = PromptTemplate(
#     input_variables=["question"],
#     template="Translate English to SQL: {question}"    
# )

# hub_chain = LLMChain(prompt=prompt, llm=hub_llm, verbose=True)
# print(hub_chain.run("What is the average age of the respondents using a mobile device?"))


# second example below:
hub_llm = HuggingFaceHub(
    repo_id='kaist-ai/selfee-7b-delta',
    model_kwargs={'temperature': 0.5, 'max_length': 100}
)

prompt = PromptTemplate(
    input_variables=["profession"],
    template="You are about to start your carrer as {profession}, how do you feel?"
)

hub_chain = LLMChain(prompt=prompt, llm=hub_llm, verbose=True)
print(hub_chain.run("customer service agent"))
print(hub_chain.run("politician"))
print(hub_chain.run("Fintech CEO"))
print(hub_chain.run("insurance agent"))