<jupyter_start><jupyter_text>Part 1: Launch a Duet Server and upload data<jupyter_code>duet = sy.launch_duet(loopback=True)
import torch as th
import numpy as np
data = th.FloatTensor(np.array([5, 15, 25, 35, 45, 55]).reshape(-1, 1))

data = data.tag("DO1 data")
data = data.describe("Dataset of 6 samples, 1 feature")

data_ptr = data.send(duet, searchable=True)
duet.store.pandas
data
duet.requests.add_handler(
    action="accept",
    print_local=True,  # print the result in your notebook
)<jupyter_output><empty_output>
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{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '377621', 'license': 'Apache-2.0', 'n_tokens_mistral': 210, 'n_tokens_neox': 192, 'n_words': 51, 'path': 'examples/private-ai-series/duet_fl/Duet_FL_1_Data_Owner.ipynb', 'repo_name': 'H4LL/PySyft', 'size': '525'}