ragflow_python/web/src/pages/chat/chat-configuration-modal/assistant-setting.tsx

import { useFetchKnowledgeList } from '@/hooks/knowledgeHook';
import { PlusOutlined } from '@ant-design/icons';
import { Form, Input, Select, Upload } from 'antd';
import classNames from 'classnames';
import { ISegmentedContentProps } from '../interface';

import styles from './index.less';

const AssistantSetting = ({ show }: ISegmentedContentProps) => {
  const { list: knowledgeList } = useFetchKnowledgeList(true);
  const knowledgeOptions = knowledgeList.map((x) => ({
    label: x.name,
    value: x.id,
  }));

  const normFile = (e: any) => {
    if (Array.isArray(e)) {
      return e;
    }
    return e?.fileList;
  };

  return (
    <section
      className={classNames({
        [styles.segmentedHidden]: !show,
      })}
    >
      <Form.Item
        name={'name'}
        label="Assistant name"
        rules={[{ required: true }]}
      >
        <Input placeholder="e.g. Resume Jarvis" />
      </Form.Item>
      <Form.Item
        name="icon"
        label="Assistant avatar"
        valuePropName="fileList"
        getValueFromEvent={normFile}
      >
        <Upload
          listType="picture-card"
          maxCount={1}
          showUploadList={{ showPreviewIcon: false, showRemoveIcon: false }}
        >
          <button style={{ border: 0, background: 'none' }} type="button">
            <PlusOutlined />
            <div style={{ marginTop: 8 }}>Upload</div>
          </button>
        </Upload>
      </Form.Item>
      <Form.Item
        name={'language'}
        label="Language"
        initialValue={'Chinese'}
        tooltip="coming soon"
        style={{display:'none'}}
      >
        <Select
          options={[
            { value: 'Chinese', label: 'Chinese' },
            { value: 'English', label: 'English' },
          ]}
        />
      </Form.Item>
      <Form.Item
        name={['prompt_config', 'empty_response']}
        label="Empty response"
        tooltip="If nothing is retrieved with user's question in the knowledgebase, it will use this as an answer.
        If you want LLM comes up with its own opinion when nothing is retrieved, leave this blank."
      >
        <Input placeholder="" />
      </Form.Item>
      <Form.Item
        name={['prompt_config', 'prologue']}
        label="Set an opener"
        tooltip="How do you want to welcome your clients?"
        initialValue={"Hi! I'm your assistant, what can I do for you?"}
      >
        <Input.TextArea autoSize={{ minRows: 5 }} />
      </Form.Item>
      <Form.Item
        label="Knowledgebases"
        name="kb_ids"
        tooltip="Select knowledgebases associated."
        rules={[
          {
            required: true,
            message: 'Please select!',
            type: 'array',
          },
        ]}
      >
        <Select
          mode="multiple"
          options={knowledgeOptions}
          placeholder="Please select"
        ></Select>
      </Form.Item>
    </section>
  );
};

export default AssistantSetting;