36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
#!/usr/bin/env python3
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# -*-coding:utf-8 -*-
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import gradio as gr
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import importlib
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from sample.aipass_client import execute
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def generate_text(message):
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svcID = 's6fb9d652'
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data_md = importlib.import_module(svcID)
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data_md.request_data['header']['app_id'] = data_md.APPId
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queryMsg_path = data_md.request_data['payload']['text']['text']
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print("queryMsg_path ", queryMsg_path)
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with open(queryMsg_path, 'w+') as f:
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f.write(message)
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return execute(data_md.request_url, data_md.request_data, "POST", data_md.APPId, data_md.APIKey, data_md.APISecret)
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def respond(message, chat_history):
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msg = generate_text(message=message)
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chat_history.append([message, msg])
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return "", chat_history
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with gr.Blocks() as demo:
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with gr.Column(min_width=800):
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chatbot = gr.Chatbot()
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with gr.Row():
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message = gr.Textbox(min_width=730)
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clear = gr.ClearButton([message, chatbot])
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message.submit(respond, [message, chatbot], [message, chatbot])
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demo.queue().launch( server_name="0.0.0.0") |