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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: Hello, who are you?\nAI: I am an AI created by OpenAI. How can I help you today?\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>Build Yo'own ChatGPT with OpenAI API & Gradio</center></h1> | |
""") | |
chatbot = gr.Chatbot() | |
message = gr.Textbox(placeholder=prompt) | |
state = gr.State() | |
submit = gr.Button("SEND") | |
submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state]) | |
block.launch() | |