Interface / ChatGPT_app.py
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Update ChatGPT_app.py
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# Rewritten Code
import openai
import gradio as gr
import time
# keep track of responses
responses = []
def Question(Ask_Question):
# pass the generated text to audio
openai.api_key = "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"
# Set up the model and prompt
model_engine = "text-davinci-003"
#prompt = "who is alon musk?"
# Generate a response
completion = openai.Completion.create(
engine=model_engine,
prompt=Ask_Question,
max_tokens=2056,
n=1,
stop=None,
temperature=0.5,)
response = completion.choices[0].text
#out_result=resp['message']
# add response to the responses list
responses.append(response)
return response
# Create interface
demo = gr.Interface(
title='OpenAI ChatGPT Application',
fn=Question,
inputs="text", outputs="text")
# Create a secondary window with history of responses
gr.Interface(title="History", fn=lambda: responses, inputs=None, outputs=responses, live=True).launch(share=True)
# Launch interface
demo.launch(share=true)
Check this code to make sure it'll run:
chat_history = [
["User", prompt],
["OpenAI", responses["choices"][0]["text"]]
]
# Create the radio blocks window
window = RadioBlocks(chat_history)
window.launch()
# Print out the chat history
print("Chat History:")
for message in chat_history:
print(f"{message[0]}: {message[1]}")
# fix
chat_history = [
["User", prompt],
["OpenAI", responses["choices"][0]["text"]]
]
# Create the radio blocks window
window = gr.Interface(title="History", fn=lambda: chat_history, inputs=None, outputs=chat_history, live=True).launch(share=True)
# Print out the chat history
print("Chat History:")
for message in chat_history:
print(f"{message[0]}: {message[1]}")