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import gradio as gr | |
from langchain.prompts import PromptTemplate | |
from langchain.chains import LLMChain | |
from langchain.llms import GooglePalm | |
llm = GooglePalm(temperature=0.1, google_api_key="AIzaSyB5XIeNPyhIy29g4DUNZzVBKfsa-fVZtrk") | |
template = """Question: {question} | |
Answer: Let's think step by step.""" | |
prompt_open = PromptTemplate(template=template, input_variables=["question"]) | |
open_chain = LLMChain(prompt=prompt_open, llm=llm) | |
def predict(message, history): | |
gpt_response = open_chain.run(message) | |
return gpt_response | |
gr.Markdown( | |
""" | |
# Let's think step by step! | |
I will break your question into steps :) | |
""" | |
) | |
gr.ChatInterface(predict).launch(share=False) | |