create app.py
Browse files
app.py
ADDED
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# Copyright (c) XVERSE Inc. All Rights Reserved.
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#
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# -*- encoding: utf-8 -*-
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import gradio as gr
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import openai
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import os
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TITLE="XChat"
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client = openai.Client(
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base_url="https://api.xverse.cn/v1",
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api_key=os.environ["API_KEY"]
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)
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def predict(msg, history=[]):
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messages = []
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tuples = []
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if len(os.environ["SYSTEM_PROMPT"]) > 0:
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messages.append({"role": "system", "content": os.environ["SYSTEM_PROMPT"]})
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for i in range(0, len(history), 2):
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messages.append({"role": "user", "content": history[i]})
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messages.append({"role": "assistant", "content": history[i+1]})
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tuples.append((history[i], history[i+1]))
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messages.append({"role": "user", "content": msg})
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response = client.chat.completions.create(
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model=os.environ["MODEL"],
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messages=messages,
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max_tokens=int(os.environ["MAX_TOKENS"]),
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top_p=float(os.environ["TOP_P"]),
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temperature=float(os.environ["TEMPERATURE"]),
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presence_penalty=float(os.environ["PRESENCE_PENALTY"]),
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stream=True
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)
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### 非流式输出
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#txt = response.choices[0].message.content
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#tuples.append((msg, txt))
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#history.append(msg)
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#history.append(txt)
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#return tuples, history
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### 流式输出
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snippet = ""
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i = 0
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for chunk in response:
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i += 1
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if chunk.choices[0].delta.content is not None:
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snippet = snippet + chunk.choices[0].delta.content
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if i == 1:
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tuples.append((msg, snippet))
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history.append(msg)
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history.append(snippet)
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else:
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tuples[-1] = (msg, snippet)
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history[-1] = snippet
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yield tuples, history
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examples = [["你是谁?", None], ["你会干什么?", None], ["写一篇爱护环境的小作文", None]]
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def reset():
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return None, []
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def clear_textbox():
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return gr.update(value="")
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css = """
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h1 {
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text-align: center;
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display: block;
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}
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"""
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with gr.Blocks(css=css) as chat_demo:
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gr.Markdown("""# <center><font size=8>{}</center>""".format(TITLE))
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gr.Markdown("""<center><font size=4>\
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<a href="https://github.com/xverse-ai">GitHub</a> | \
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<a href="https://chat.xverse.cn">Web</a> | \
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<a href="https://help.xverse.cn/docs/api-reference">API</a>\
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</center>"""
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)
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chatbot = gr.Chatbot(elem_id="chatbot", height=800, bubble_full_width=False, likeable=False)
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state = gr.State([])
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with gr.Row():
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txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter", container=False)
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with gr.Row():
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submit_btn = gr.Button(value="Submit")
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reset_btn = gr.Button(value="Reset")
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txt.submit(fn=predict, inputs=[txt, state], outputs=[chatbot, state])
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txt.submit(fn=clear_textbox, inputs=None, outputs=[txt])
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submit_btn.click(fn=predict, inputs=[txt, state], outputs=[chatbot, state])
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submit_btn.click(fn=clear_textbox, inputs=None, outputs=[txt])
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reset_btn.click(fn=reset, inputs=None, outputs=[chatbot, state])
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gr.Examples(examples=examples, inputs=[txt])
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if __name__ == "__main__":
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chat_demo.queue()
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chat_demo.launch(share=True)
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