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Create app.py
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app.py
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#!/usr/bin/env python
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# encoding: utf-8
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import gradio as gr
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from PIL import Image
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import requests
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import base64
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from io import BytesIO
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import traceback
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import os
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def upload_img(image,_chatbot,_app_session):
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image = Image.fromarray(image)
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_app_session['sts']=None
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_app_session['ctx']=''
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_app_session['img']=image
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_chatbot.append(('图片解析成功,可以和我对话了', ''))
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return _chatbot,_app_session
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def respond( _question, _chat_bot,_app_cfg):
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try:
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img = _app_cfg['img']
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buffered = BytesIO()
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img.save(buffered, format="JPEG")
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img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
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url = os.environ['SERVICE_URL']
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_answer = requests.post(url, headers={
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"X-Model-Best-Model": "viscpm-chat-balance",
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"X-Model-Best-Trace-ID": "test-trace",
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}, json={
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"image": img_str,
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"question": _question,
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}).json()
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_answer = _answer['data']['response']
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print(f'question: {_question}, answer: {_answer}')
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except Exception as e:
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print(traceback.format_exc())
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_answer = "请求失败"
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_chat_bot.append((_question, _answer))
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_context = _app_cfg['ctx'] + '\n' + _question + '\n' + _answer + '\n'
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sts = None
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_app_cfg['ctx'] = _context
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_app_cfg['sts'] = sts
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return '', _chat_bot, _app_cfg
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with gr.Blocks() as demo:
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app_session = gr.State({'sts':None,'ctx':None,'img':None})
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bt_pic = gr.Image(label="先上传一张图片")
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chat_bot = gr.Chatbot(label="聊天对话")
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txt_message = gr.Textbox(label="输入文字")
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txt_message.submit(respond, [ txt_message, chat_bot,app_session], [txt_message,chat_bot,app_session])
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bt_pic.upload(lambda: None, None, chat_bot, queue=False).then(upload_img, inputs=[bt_pic,chat_bot,app_session], outputs=[chat_bot,app_session])
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demo.queue(concurrency_count=1, max_size=20).launch(share=False, debug=True, server_port=7890,
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server_name="0.0.0.0")
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