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2652d5f
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Parent(s):
d7bb8fd
Upload app.py
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app.py
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import streamlit as st
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import os
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import subprocess
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import sys
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import shutil
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from Crypto.PublicKey import RSA
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from datasets import load_dataset
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import pandas as pd
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import oci
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from oci import object_storage
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from oci.object_storage.models import CreateBucketDetails
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from oci.object_storage.models import CreatePreauthenticatedRequestDetails
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import pickle
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st.set_page_config(page_title="Oracle")
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st.title("Oracle")
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#st.caption("By Allen Roush")
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config_location = ".oci/config"
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user_ocid = ""
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tenancy_ocid = ""
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region = ""
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gen_api_key = "n"
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private_key_location = ".oci/private_key.pem"
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hf_dataset = ""
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oracle_form = st.form("configuration")
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oracle_form.write("OCI Settings")
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user_ocid = oracle_form.text_input("Enter the User OCID", "ocid1.user.oc1..aaaaaaaakhekqfxefo2a3sveid67qqlfgtrmpk5cym5oqkcgtgkhbi3elova")
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tenancy_ocid = oracle_form.text_input("Enter the tenancy ocid", "ocid1.tenancy.oc1..aaaaaaaahzy3x4boh7ipxyft2rowu2xeglvanlfewudbnueugsieyuojkldq")
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region = oracle_form.text_input("Enter the region", "us-ashburn-1")
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existing_checkbox = oracle_form.checkbox("Check this if you want to put the dataset into an existing bucket")
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oracle_submitted = oracle_form.form_submit_button("Generate API Key")
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dataset_form = st.form("dataset")
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dataset_form.write("Dataset Settings")
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dataset_name = dataset_form.text_area("Enter the name of the huggingface Dataset:", value = "Hellisotherpeople/DebateSum")
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dataset_name_2 = dataset_form.text_area("Enter the name of the config for the dataset if it has one", value = "")
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split_name = dataset_form.text_area("Enter the name of the split of the dataset that you want to use", value = "train")
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pd_checkbox = dataset_form.checkbox("Check this if you want this to be a pandas dataframe instead of a HF Dataset Object")
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dataset_submitted = dataset_form.form_submit_button("Pull Dataset")
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def load_and_process_data(path, name, streaming, split_name):
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dataset = load_dataset(path = path, name = name, streaming=streaming, keep_in_memory = True)
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#return list(dataset)
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dataset_head = dataset[split_name]
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return dataset_head
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if oracle_submitted:
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input_str = config_location + "\n" + "Y" + "\n" + "USER" + "\n" + user_ocid + "\n" + tenancy_ocid + "\n" + region + "\n" + gen_api_key + "\n" + private_key_location
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key_input_str = " \n" + " \n"
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try:
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shutil.rmtree(".oci")
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except Exception:
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pass
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try:
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os.mkdir(".oci")
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except FileExistsError:
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pass
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open(".oci/config", "a").close()
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key = RSA.generate(2048)
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private_key = key.export_key()
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file_out = open(".oci/private_key.pem", "wb")
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file_out.write(private_key)
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file_out.close()
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public_key = key.publickey().export_key()
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file_out = open(".oci/public_key.pem", "wb")
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file_out.write(public_key)
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file_out.close()
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p = subprocess.run(["oci", "setup", "config"], text = True, input = input_str)
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cat_public = subprocess.run(["cat", ".oci/public_key.pem"], text = True, capture_output=True)
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cat_config = subprocess.run(["cat", ".oci/config"], text = True, capture_output=True)
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oracle_form.text(cat_public.stdout) ###took me SIX HOURS of debugging to figure out that the st.write command is NOT the right way to output an RSA key :(
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with oracle_form.expander("Open to see the generated OCI config file"):
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oracle_form.text(cat_config.stdout)
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if dataset_submitted:
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hf_dataset = load_and_process_data(dataset_name, dataset_name_2, False, split_name)
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if pd_checkbox:
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hf_dataset = pd.DataFrame.from_dict(hf_dataset)
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st.write(hf_dataset)
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st.write("Dataset Pulled Succesfully!")
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oci_config = oci.config.from_file("~/HF_X_OCI/.oci/config", profile_name = "USER")
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object_storage = object_storage.ObjectStorageClient(oci_config)
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st.write("Object Storage Connected Succesfully")
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namespace = object_storage.get_namespace().data
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compartment_id = oci_config["tenancy"]
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st.write(namespace)
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bucket_name = dataset_name.replace("/", "-")
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try:
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bucket = object_storage.create_bucket(
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namespace,
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oci.object_storage.models.CreateBucketDetails(
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name=bucket_name,
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compartment_id=compartment_id,
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storage_tier='Archive',
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public_access_type='ObjectRead'
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)
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)
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st.write("Bucket Written:")
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st.write(bucket)
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except Exception:
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st.write("Bucket Exists, Writing Dataset to Bucket")
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st.write("Uploading new object if it doesn't already exist {!r}".format(hf_dataset))
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hf_bytes = pickle.dumps(hf_dataset)
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obj = object_storage.put_object(
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namespace,
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bucket_name,
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bucket_name,
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hf_bytes)
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st.write("Object Pushed Succesfully!")
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#if test_connection_button:
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