Added classification with annotation types for convo

Author: ovalle15

examples/annotation_import/conversational.ipynb

@@ -115,7 +115,16 @@
         "client = lb.Client(api_key=API_KEY)"
       ],
       "cell_type": "code",
-      "outputs": [],
+      "outputs": [
+        {
+          "ename": "SyntaxError",
+          "evalue": "unterminated string literal (detected at line 2) (1881836202.py, line 2)",
+          "output_type": "error",
+          "traceback": [
+            "\u001b[0;36m  Cell \u001b[0;32mIn[81], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m    API_KEY = \"\u001b[0m\n\u001b[0m              ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m unterminated string literal (detected at line 2)\n"
+          ]
+        }
+      ],
       "execution_count": null
     },
     {
@@ -163,7 +172,13 @@
       "source": [
         "##### Classification free text #####\n",
         "\n",
-        "# Only supported with NDJSON\n",
+        "text_annotation = lb_types.ClassificationAnnotation(\n",
+        "    name=\"text_convo\",\n",
+        "    value=lb_types.Text(answer=\"the answer to the text questions right here\"),\n",
+        "    message_id=\"0\"\n",
+        ")\n",
+        "\n",
+        "\n",
         "text_annotation_ndjson = {\n",
         "    'name': 'text_convo',\n",
         "    'answer': 'the answer to the text questions right here',\n",
@@ -179,7 +194,22 @@
       "source": [
         "##### Checklist Classification ####### \n",
         "\n",
-        "# Only supported with NDJSON\n",
+        "checklist_annotation= lb_types.ClassificationAnnotation(\n",
+        "  name=\"checklist_convo\", # must match your ontology feature's name\n",
+        "  value=lb_types.Checklist(\n",
+        "      answer = [\n",
+        "        lb_types.ClassificationAnswer(\n",
+        "            name = \"first_checklist_answer\"\n",
+        "        ), \n",
+        "        lb_types.ClassificationAnswer(\n",
+        "            name = \"second_checklist_answer\"\n",
+        "        )\n",
+        "      ]\n",
+        "    ),\n",
+        "  message_id=\"2\"\n",
+        " )\n",
+        "\n",
+        "\n",
         "checklist_annotation_ndjson = {\n",
         "    'name': 'checklist_convo',\n",
         "    'answers': [\n",
@@ -198,7 +228,12 @@
       "source": [
         "######## Radio Classification ######\n",
         "\n",
-        "# Only supported with NDJSON\n",
+        "radio_annotation = lb_types.ClassificationAnnotation(\n",
+        "    name='radio_convo', \n",
+        "    value=lb_types.Radio(answer = lb_types.ClassificationAnswer(name = 'first_radio_answer')),\n",
+        "    message_id=\"0\"\n",
+        ")\n",
+        "\n",
         "radio_annotation_ndjson = {\n",
         "    'name': 'radio_convo',\n",
         "    'answer': {\n",
@@ -374,7 +409,10 @@
         "      global_key=global_key\n",
         "    ),\n",
         "    annotations=[\n",
-        "      ner_annotation\n",
+        "      ner_annotation,\n",
+        "      text_annotation,\n",
+        "      checklist_annotation,\n",
+        "      radio_annotation\n",
         "    ]\n",
         "  )\n",
         ")"
@@ -433,7 +471,7 @@
         "    client = client, \n",
         "    project_id = project.uid, \n",
         "    name=f\"mal_job-{str(uuid.uuid4())}\", \n",
-        "    predictions=label_ndjson)\n",
+        "    predictions=label)\n",
         "\n",
         "upload_job.wait_until_done();\n",
         "print(\"Errors:\", upload_job.errors)\n",
@@ -458,8 +496,7 @@
         "    client = client, \n",
         "    project_id = project.uid, \n",
         "    name=\"label_import_job\"+str(uuid.uuid4()),  \n",
-        "    # user label_ndjson if labels were created using python annotation tools\n",
-        "    labels=label_ndjson)\n",
+        "    labels=label)\n",
         "\n",
         "upload_job.wait_until_done();\n",
         "print(\"Errors:\", upload_job.errors)\n",