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12 | 12 | },
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13 | 13 | {
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14 | 14 | "cell_type": "code",
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15 |
| - "execution_count": null, |
| 15 | + "execution_count": 54, |
16 | 16 | "id": "0320fe7e-0ec7-4dd1-90c2-74a3e25bab86",
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17 | 17 | "metadata": {},
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18 | 18 | "outputs": [],
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28 | 28 | },
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29 | 29 | {
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30 | 30 | "cell_type": "code",
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31 |
| - "execution_count": null, |
| 31 | + "execution_count": 59, |
32 | 32 | "id": "f0e47085-1303-4292-b752-0ee05eef872d",
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33 | 33 | "metadata": {},
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34 | 34 | "outputs": [],
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43 | 43 | " self.file_upload = FileUpload(accept='', multiple=False)\n",
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44 | 44 | "\n",
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45 | 45 | " # global file viewer (that has model)\n",
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46 |
| - " self.file_viewer = file_viewer\n", |
| 46 | + " #self.file_viewer = file_viewer\n", |
47 | 47 | " \n",
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48 | 48 | " # Course overview text\n",
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49 | 49 | " self.course_overview_text = v.TextField(label='Course Overview:', placeholder='Enter course overview')\n",
|
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79 | 79 | " self.children = [\n",
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80 | 80 | " self.header, # Heading\n",
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81 | 81 | " HBox([self.file_upload]), # File upload button\n",
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82 |
| - " self.file_viewer,\n", |
83 | 82 | " self.course_overview_text, # Course overview\n",
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84 | 83 | " self.ai_guidelines_label, # AI Guidelines\n",
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85 | 84 | " VBox([self.step_by_step_checkbox, self.metaphor_checkbox,\n",
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91 | 90 | },
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92 | 91 | {
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93 | 92 | "cell_type": "code",
|
94 |
| - "execution_count": null, |
| 93 | + "execution_count": 60, |
95 | 94 | "id": "54fb4f23-dabc-4109-a482-feee5c130f36",
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96 | 95 | "metadata": {},
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97 | 96 | "outputs": [
|
98 | 97 | {
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99 | 98 | "data": {
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100 | 99 | "application/vnd.jupyter.widget-view+json": {
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101 |
| - "model_id": "bc686214fda847ccabdeac24bd13a0b9", |
| 100 | + "model_id": "7dfa2b4a73e240a78060c514e3c1cc29", |
102 | 101 | "version_major": 2,
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103 | 102 | "version_minor": 0
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104 | 103 | },
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105 | 104 | "text/plain": [
|
106 | 105 | "EducatorCourseOverview(children=(Container(children=[Html(attributes={'title': 'a title'}, children=['Educator…"
|
107 | 106 | ]
|
108 | 107 | },
|
109 |
| - "execution_count": null, |
| 108 | + "execution_count": 60, |
110 | 109 | "metadata": {},
|
111 | 110 | "output_type": "execute_result"
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112 | 111 | }
|
|
119 | 118 | },
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120 | 119 | {
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121 | 120 | "cell_type": "code",
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122 |
| - "execution_count": 53, |
| 121 | + "execution_count": 61, |
123 | 122 | "id": "11872b33-a907-4acb-9537-0a2f4237d791",
|
124 | 123 | "metadata": {},
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125 | 124 | "outputs": [],
|
|
139 | 138 | ],
|
140 | 139 | "metadata": {
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141 | 140 | "kernelspec": {
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142 |
| - "display_name": "python3", |
| 141 | + "display_name": "Python 3 (ipykernel)", |
143 | 142 | "language": "python",
|
144 | 143 | "name": "python3"
|
| 144 | + }, |
| 145 | + "language_info": { |
| 146 | + "codemirror_mode": { |
| 147 | + "name": "ipython", |
| 148 | + "version": 3 |
| 149 | + }, |
| 150 | + "file_extension": ".py", |
| 151 | + "mimetype": "text/x-python", |
| 152 | + "name": "python", |
| 153 | + "nbconvert_exporter": "python", |
| 154 | + "pygments_lexer": "ipython3", |
| 155 | + "version": "3.8.19" |
145 | 156 | }
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146 | 157 | },
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147 | 158 | "nbformat": 4,
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|
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