90 lines
4.7 KiB
Text
90 lines
4.7 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Trace(trace_id='07719c28-e248-43f8-a652-608c49ad5a17', created='2022-06-26T07:55:30.587753', original_execution_time_ms=178.268, logged_values={'arg:text:value': 'I love chemical compounds and nuclear fission.', 'arg:text:length': 46, 'arg:target_confidence:value': 50}, models=[Model(key='small-domain-prediction', version=0)], exception=None, output={'labels': [{'label': 'Physics', 'confidence': 28.0, 'explanation': ['nuclear', 'chemical', 'fission', 'compounds', 'love']}, {'label': 'Chemistry', 'confidence': 22.0, 'explanation': ['chemical', 'compounds', 'nuclear', 'fission', 'love']}]}, feedback=None, tags=['predict_domain', 'online', 'development'])"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from great_ai import call_remote_great_ai_async\n",
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"\n",
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"\n",
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"await call_remote_great_ai_async(\n",
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" \"http://localhost:6060\", {\"text\": \"I love chemical compounds and nuclear fission.\"}\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<_UnixSelectorEventLoop running=True closed=False debug=False>\n"
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]
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},
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{
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"ename": "Exception",
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"evalue": "Already running in an event loop, you have to call call_remote_great_ai_async.",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mException\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m/data/projects/great_ai/docs/remote-test/remote.ipynb Cell 1'\u001b[0m in \u001b[0;36m<cell line: 4>\u001b[0;34m()\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/data/projects/great_ai/docs/remote-test/remote.ipynb#ch0000000?line=0'>1</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mgreat_ai\u001b[39;00m \u001b[39mimport\u001b[39;00m call_remote_great_ai\n\u001b[0;32m----> <a href='vscode-notebook-cell:/data/projects/great_ai/docs/remote-test/remote.ipynb#ch0000000?line=3'>4</a>\u001b[0m call_remote_great_ai(\u001b[39m'\u001b[39;49m\u001b[39mhttp://localhost:6060\u001b[39;49m\u001b[39m'\u001b[39;49m, {\n\u001b[1;32m <a href='vscode-notebook-cell:/data/projects/great_ai/docs/remote-test/remote.ipynb#ch0000000?line=4'>5</a>\u001b[0m \u001b[39m'\u001b[39;49m\u001b[39mtext\u001b[39;49m\u001b[39m'\u001b[39;49m: \u001b[39m'\u001b[39;49m\u001b[39mI love chemical compounds and nuclear fission.\u001b[39;49m\u001b[39m'\u001b[39;49m\n\u001b[1;32m <a href='vscode-notebook-cell:/data/projects/great_ai/docs/remote-test/remote.ipynb#ch0000000?line=5'>6</a>\u001b[0m })\n",
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"File \u001b[0;32m/data/projects/great_ai/src/great_ai/great_ai/remote/call_remote_great_ai.py:17\u001b[0m, in \u001b[0;36mcall_remote_great_ai\u001b[0;34m(base_uri, data, retry_count)\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m 16\u001b[0m \u001b[39mprint\u001b[39m(asyncio\u001b[39m.\u001b[39mget_running_loop())\n\u001b[0;32m---> 17\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mException\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mAlready running in an event loop, you have to call \u001b[39m\u001b[39m{\u001b[39;00mcall_remote_great_ai_async\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m\u001b[39m}\u001b[39;00m\u001b[39m.\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 18\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mRuntimeError\u001b[39;00m:\n\u001b[1;32m 19\u001b[0m \u001b[39mpass\u001b[39;00m\n",
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"\u001b[0;31mException\u001b[0m: Already running in an event loop, you have to call call_remote_great_ai_async."
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]
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}
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],
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"source": [
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"from great_ai import call_remote_great_ai\n",
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"\n",
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"\n",
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"call_remote_great_ai(\n",
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" \"http://localhost:6060\", {\"text\": \"I love chemical compounds and nuclear fission.\"}\n",
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")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.10.4 ('.env': venv)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.4"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "d88b0dd276e3f918f7798b7e97af2e3c2f843817b9e5b55a9df0a682ffd80f44"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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