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import openai
import os
import gradio as gr
openai.api_key=os.getenv('openai_appkey')
# doc is here https://platform.openai.com/docs/guides/chat/chat-vs-completions?utm_medium=email&_hsmi=248334739&utm_content=248334739&utm_source=hs_email
def get_chatgpt(input_text):
chat_completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
# system message first, it helps set the behavior of the assistant
{"role": "system", "content": "You are a helpful assistant."},
# I am the user, and this is my prompt
{"role": "user", "content": input_text},
# we can also add the previous conversation
# {"role": "assistant", "content": "Episode III."},
],
)
# let's see the reply
#print(chat_completion.choices[0].message.content)
return chat_completion.choices[0].message.content
with gr.Blocks(
css="""
.message.svelte-w6rprc.svelte-w6rprc.svelte-w6rprc {font-size: 20px; margin-top: 20px}
#component-21 > div.wrap.svelte-w6rprc {height: 600px;}
"""
) as iface:
state = gr.State([])
#caption_output = None
#gr.Markdown(title)
#gr.Markdown(description)
#gr.Markdown(article)
with gr.Row():
with gr.Column(scale=1):
with gr.Row():
with gr.Column(scale=1):
chat_input = gr.Textbox(lines=1, label="Quesiton Input")
with gr.Row():
clear_button = gr.Button(value="Clear", interactive=True)
submit_button = gr.Button(
value="提问", interactive=True, variant="primary"
)
with gr.Column():
caption_output_v1 = gr.Textbox(lines=0, label="答案")
submit_button.click(
get_chatgpt,
[
chat_input,
],
[caption_output_v1],
)
examples=[["毛主席是什么时候出生的?"]]
examples = gr.Examples(
examples=examples,
inputs=[ chat_input],
)
iface.queue(concurrency_count=1, api_open=False, max_size=10)
iface.launch(enable_queue=True) |