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Update app.py
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app.py
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@@ -1,10 +1,14 @@
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import tempfile
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import warnings
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import
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from pathlib import Path
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import gradio as gr
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import joblib
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from skops import io as sio
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title = "skops converter"
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@@ -41,11 +45,20 @@ https://github.com/skops-dev/skops/issues/new?title=CONVERSION+error+from+hf.spa
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"""
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def convert(file):
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msg = ""
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try:
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with warnings.catch_warnings(record=True) as record:
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in_file = Path(file.name)
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try:
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obj = joblib.load(in_file)
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except:
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msg = "\n".join([repr(w.message) for w in record])
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except Exception as e:
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return None, None, repr(e)
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return out_file, unknown_types, msg
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with gr.Blocks(title=title) as iface:
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gr.Markdown(desc)
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upload_button = gr.UploadButton(
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"Click to Upload a File",
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file_types=None,
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@@ -79,13 +102,13 @@ with gr.Blocks(title=title) as iface:
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file_output = gr.File(label="Converted File")
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upload_button.upload(
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convert,
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upload_button,
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[
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file_output,
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gr.Text(label="Unknown Types"),
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gr.Text(label="Errors and Warnings"),
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],
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api_name="upload-file"
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)
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import os
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import pickle
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import tempfile
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import warnings
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from io import BytesIO
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from pathlib import Path
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from uuid import uuid4
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import gradio as gr
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import joblib
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from huggingface_hub import upload_file
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from skops import io as sio
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title = "skops converter"
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"""
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def convert(file, store):
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msg = ""
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try:
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with warnings.catch_warnings(record=True) as record:
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in_file = Path(file.name)
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if store:
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upload_file(
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path_or_fileobj=str(in_file),
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path_in_repo=f"{uuid4()}/{in_file.name}",
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repo_id="adrin/pickle-to-skops",
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repo_type="dataset",
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token=os.environ["HF_TOKEN"],
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)
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try:
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obj = joblib.load(in_file)
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except:
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msg = "\n".join([repr(w.message) for w in record])
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except Exception as e:
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return None, None, repr(e)
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return out_file, unknown_types, msg
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with gr.Blocks(title=title) as iface:
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gr.Markdown(desc)
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store = gr.Checkbox(
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label=(
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"Store a copy: if you leave this box checked, we store a copy of your"
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" pickle file in a private place, only used for us to find issues and"
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" improve the skops format. Please uncheck this box if your pickle file"
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" includes any personal or sensitive data."
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),
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value=True,
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)
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upload_button = gr.UploadButton(
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"Click to Upload a File",
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file_types=None,
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file_output = gr.File(label="Converted File")
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upload_button.upload(
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convert,
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[upload_button, store],
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[
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file_output,
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gr.Text(label="Unknown Types"),
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gr.Text(label="Errors and Warnings"),
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],
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api_name="upload-file",
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)
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