Update app.py
Browse files
app.py
CHANGED
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@@ -1,17 +1,22 @@
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import os
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import csv
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import gradio as gr
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from gradio import inputs
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import huggingface_hub
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from datetime import datetime
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DATA_FILENAME = "data.csv"
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DATA_FILE = os.path.join(
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HF_TOKEN = os.environ.get("HF_TOKEN")
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print("hfh", huggingface_hub.__version__)
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@@ -29,10 +34,16 @@ with open(os.path.join(gr.networking.STATIC_TEMPLATE_LIB, "frontend", "index.htm
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f.write(SCRIPT)
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def generate_html() -> str:
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@@ -62,7 +73,13 @@ def store_message(name: str, message: str):
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writer.writerow(
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{"name": name, "message": message, "time": str(datetime.now())}
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)
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commit_url =
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print(commit_url)
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return generate_html()
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@@ -80,7 +97,7 @@ iface = gr.Interface(
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""",
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title="Reading/writing to a HuggingFace dataset repo from Spaces",
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description=f"This is a demo of how to do simple *shared data persistence* in a Gradio Space, backed by a dataset repo.",
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article=f"The dataset repo is [{DATASET_REPO_URL}]({DATASET_REPO_URL})
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)
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iface.launch()
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import os
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import csv
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import gradio as gr
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from gradio import inputs
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import huggingface_hub
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print("hfh", huggingface_hub.__version__)
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from huggingface_hub import hf_hub_download, upload_file
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from datetime import datetime
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DATASET_REPO_ID = "datasets/ccml/dataset1"
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DATASET_REPO_URL = f"https://huggingface.co/{DATASET_REPO_ID}"
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DATA_DIRNAME = "data"
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DATA_FILENAME = "data.csv"
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DATA_FILE = os.path.join(DATA_DIRNAME, DATA_FILENAME)
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HF_TOKEN = os.environ.get("HF_TOKEN")
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print("hfh", huggingface_hub.__version__)
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f.write(SCRIPT)
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try:
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hf_hub_download(
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repo_id=DATASET_REPO_ID,
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filename=DATA_FILENAME,
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cache_dir=DATA_DIRNAME,
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force_filename=DATA_FILENAME
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)
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except:
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# file not found, we'll create it on the fly.
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print("file not found, probably")
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def generate_html() -> str:
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writer.writerow(
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{"name": name, "message": message, "time": str(datetime.now())}
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)
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commit_url = upload_file(
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DATA_FILE,
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path_in_repo=DATA_FILENAME,
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repo_id=DATASET_REPO_ID,
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token=HF_TOKEN,
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)
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print(commit_url)
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return generate_html()
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""",
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title="Reading/writing to a HuggingFace dataset repo from Spaces",
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description=f"This is a demo of how to do simple *shared data persistence* in a Gradio Space, backed by a dataset repo.",
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article=f"The dataset repo is [{DATASET_REPO_URL}]({DATASET_REPO_URL})",
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)
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iface.launch()
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