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Browse files- .gitignore +1 -0
- README.md +2 -2
- app.py +85 -0
.gitignore
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rename.sh
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README.md
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---
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title: Data Converter
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colorFrom: indigo
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colorTo: pink
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sdk: gradio
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sdk_version: 4.
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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title: Data Converter
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emoji: 🔢
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colorFrom: indigo
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colorTo: pink
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sdk: gradio
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sdk_version: 4.36.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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app.py
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import gradio as gr
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import pandas as pd
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from utils import *
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def infer(input_file: str):
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clean_cache()
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try:
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data_list = eval(f'encoder_{MODE["from"]}')(input_file)
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output_file = eval(f'decoder_{MODE["to"]}')(data_list)
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return output_file, pd.DataFrame(data_list)
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except Exception as e:
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return None, pd.DataFrame([{"请上传标准的数据文件": f"{e}"}])
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if __name__ == "__main__":
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with gr.Blocks() as demo:
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for item in TAB_CONFIG:
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types = item.split(" ⇆ ")
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with gr.Tab(item) as tab:
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with gr.Row():
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with gr.Column():
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option = gr.Dropdown(
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choices=[
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f"{types[0]} → {types[1]}",
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f"{types[0]} ← {types[1]}",
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],
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label="模式 Mode",
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value=f"{types[0]} → {types[1]}",
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)
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input_file = gr.components.File(
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type="filepath",
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label="上传原数据 Upload input file",
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file_types=[f".{types[0]}", f".{types[1]}"],
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)
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convert_btn = gr.Button("转换 Convert")
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with gr.Column():
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output_file = gr.components.File(
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type="filepath", label="下载转换数据 Download output file"
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)
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data_viewer = gr.Dataframe(label="数据预览 Data viewer")
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option.change(change_mode, inputs=option)
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tab.select(change_mode, inputs=option)
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convert_btn.click(
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infer, inputs=input_file, outputs=[output_file, data_viewer]
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)
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gr.Markdown(
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"""
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## 支持的 JSON 格式 (Supported JSON format)
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```
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[
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{
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"key1": "val11",
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"key2": "val12",
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...
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},
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{
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"key1": "val21",
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"key2": "val22",
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...
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},
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...
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]
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```
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## 支持的 JSON Lines 格式 (Supported jsonl format)
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```
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{"key1": "val11", "key2": "val12", ...}
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{"key1": "val21", "key2": "val22", ...}
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...
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```
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## 支持的 CSV 格式 (Supported CSV format)
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```
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key1, key2, ...
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val11, val12, ...
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val21, val22, ...
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...
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```
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"""
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)
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demo.launch()
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