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import gradio as gr | |
from langchain import PromptTemplate, HuggingFaceHub, LLMChain | |
import os | |
os.environ['HUGGINGFACEHUB_API_TOKEN'] = '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' | |
llm=HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature":1e-10}) | |
template = 'question:{question}' | |
prompt = PromptTemplate(template=template, input_variables=["question"]) | |
chain = LLMChain(llm=llm, prompt=prompt) | |
def answer(question): | |
out=chain.run(question) | |
return out | |
demo = gr.Interface(fn=answer, inputs='text',outputs='text',examples= [['What is the capital of India ?']]) | |
demo.launch() |