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import os
#import openai
import gradio as gr
from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper, ServiceContext
#if you have OpenAI API key as an environment variable, enable the below
#openai.api_key = os.getenv("OPENAI_API_KEY")
#if you have OpenAI API key as a string, enable the below
#openai.api_key = "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"
os.environ["OPENAI_API_KEY"] = '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'
start_sequence = "\nAI:"
restart_sequence = "\nHuman: "
prompt = "The following is a conversation with an AI assistant. The assistant is helpful, creative, clever, and very friendly.\n\nHuman: "
def gradio_ask_ai(user_input):
index = GPTSimpleVectorIndex.load_from_disk('index.json')
query = user_input
response = index.query(query)
return response.response
def chatgpt_clone(input, history):
history = history or []
s = list(sum(history, ()))
s.append(input)
inp = ' '.join(s)
#output = openai_create(inp) gradio_ask_ai
output = gradio_ask_ai(inp)
#print("out",type(output))
history.append((input, output))
return history, history
block = gr.Blocks()
with block:
gr.Markdown("""<h1><center>Meshworks bot</center></h1>
""")
chatbot = gr.Chatbot()
message = gr.Textbox(placeholder=prompt)
state = gr.State()
submit = gr.Button("Submit")
submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
block.launch()
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