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langchain-gpt4free/sample/sequential_chain_sample.py
2023-08-13 12:28:24 +09:00

37 lines
1.4 KiB
Python

from g4f import Provider, models
from langchain import PromptTemplate
from langchain.chains import LLMChain, SimpleSequentialChain
from langchain.llms.base import LLM
from langchain_g4f import G4FLLM
def main():
llm: LLM = G4FLLM(
model=models.gpt_35_turbo,
provider=Provider.DeepAi,
)
prompt_template_1 = PromptTemplate(
input_variables=["location"],
template="Please tell us one tourist attraction in {location}.",
)
chain_1 = LLMChain(llm=llm, prompt=prompt_template_1)
prompt_template_2 = PromptTemplate(
input_variables=["location"],
template="What is the train route from Tokyo Station to {location}?",
)
chain_2 = LLMChain(llm=llm, prompt=prompt_template_2)
simple_sequential_chain = SimpleSequentialChain(
chains=[chain_1, chain_2], verbose=True
)
print(simple_sequential_chain("tokyo"))
# {'input': 'tokyo', 'output': 'The train route from Tokyo Station to the Tokyo Skytree is:\n\n1. Take the JR Yamanote Line or the Keihin-Tohoku Line from Tokyo Station to Ueno Station.\n\n2. Transfer to the Tokyo Metro Hibiya Line at Ueno Station and take the train towards Kita-senju.\n\n3. Get off at Oshiage Station, which is the closest station to the Tokyo Skytree.\n\nThe journey takes approximately 20-25 minutes and costs around 240-280 yen depending on the train line and time of day.'}
if __name__ == "__main__":
main()