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import gradio as gr | |
from langchain import PromptTemplate, LLMChain | |
from langchain.llms import GPT4All | |
PATH = 'ggml-mpt-7b-instruct.bin' | |
llm = GPT4All(model=PATH, verbose=True) | |
prompt = PromptTemplate(input_variables=['question'], template=""" | |
Question: {question} | |
Answer: Let's think step by step. | |
""") | |
llm_chain = LLMChain(prompt=prompt, llm=llm) | |
def generate_response(question): | |
response = llm_chain.run(question) | |
return response | |
inputs = gr.inputs.Textbox(lines=5, label='Enter your prompt here!') | |
outputs = gr.outputs.Textbox(label='Response') | |
title = 'π¦π GPT4ALL Y\'All' | |
description = 'This is using the MPT model!' | |
gr.Interface(generate_response, inputs, outputs, title=title, description=description).launch() | |