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import os | |
import openai | |
import gradio as gr | |
openai.api_key = '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' | |
#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 | |
def clean_textbox(*args): | |
n = len(args) | |
return [""] * n | |
class ChatGPT: | |
def __init__(self): | |
self.messages = [{'role': 'system', 'content': "You are now a very useful maid assistant! If you have a question you can't answer, please reply with As a classy, I can't answer this question"}] | |
def reset(self, *args): | |
self.messages = [{'role': 'system', 'content': "You are now a very useful maid assistant! If you have a question you can't answer, please reply with As a classy, I can't answer this question"}] | |
return clean_textbox(*args) | |
def chat(self, prompt): | |
self.messages.append({"role": "user", "content": prompt}) | |
completion = openai.ChatCompletion.create( | |
model="gpt-3.5-turbo", | |
messages=self.messages, | |
temperature=0.7 | |
) | |
res_msg = completion.choices[0].message["content"].strip() | |
self.messages.append({"role": "assistant", "content": res_msg}) | |
return res_msg | |
if __name__ == '__main__': | |
my_chatgpt = ChatGPT() | |
with gr.Blocks(title="POULTA INC ChatGPT") as demo: | |
gr.Markdown(''' | |
# ChatGPT | |
''') | |
with gr.Row(): | |
with gr.Column(scale=9): | |
prompt = gr.Text(label='ChatGPT_Prompt', show_label=False, lines=3, | |
placeholder='ChatGPT Prompt') | |
res = gr.Text(label='ChatGPT_result', show_label=False, lines=3, | |
placeholder='chatgpt results') | |
with gr.Column(scale=1): | |
btn_gen = gr.Button(value="send", variant='primary') | |
btn_clear = gr.Button(value="restart chat") | |
gr.Examples([ | |
["What is Poulta Inc?"], | |
["what is Poulta inc doing?"], | |
["Poulta inc Bring real-time central monitoring to your farms"]], | |
inputs=[prompt], | |
outputs=[res], | |
fn=my_chatgpt.chat, | |
cache_examples=False) | |
btn_gen.click(fn=my_chatgpt.chat, inputs=prompt, | |
outputs=res) | |
btn_clear.click(fn=my_chatgpt.reset, | |
inputs=[prompt, res], | |
outputs=[prompt, res]) | |
demo.queue() | |
demo.launch() | |