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import json |
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from datetime import datetime |
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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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from huggingface_hub import CommitScheduler |
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JSON_DATASET_DIR = Path("json_dataset") |
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JSON_DATASET_DIR.mkdir(parents=True, exist_ok=True) |
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JSON_DATASET_PATH = JSON_DATASET_DIR / f"train-{uuid4()}.json" |
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scheduler = CommitScheduler( |
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repo_id="example-space-to-dataset-json", |
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repo_type="dataset", |
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folder_path=JSON_DATASET_DIR, |
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path_in_repo="data", |
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) |
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def greet(name: str) -> str: |
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return "Hello " + name + "!" |
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def save_json(name: str, greetings: str) -> None: |
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with scheduler.lock: |
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with JSON_DATASET_PATH.open("a") as f: |
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json.dump({"name": name, "greetings": greetings, "datetime": datetime.now().isoformat()}, f) |
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f.write("\n") |
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with gr.Blocks() as demo: |
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with gr.Row(): |
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greet_name = gr.Textbox(label="Name") |
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greet_output = gr.Textbox(label="Greetings") |
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greet_btn = gr.Button("Greet") |
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greet_btn.click(fn=greet, inputs=greet_name, outputs=greet_output).success( |
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fn=save_json, |
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inputs=[greet_name, greet_output], |
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outputs=None, |
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) |
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demo.launch() |