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Update app.py
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app.py
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@@ -62,25 +62,22 @@ from datetime import datetime
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import pathlib as Path
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from requests import get
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import urllib.request
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#dataset = load_dataset('Seetha/visual_files')
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# print("is none?", HF_TOKEN is None)
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# print("hfh", huggingface_hub.__version__)
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def main():
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@@ -501,6 +498,20 @@ def main():
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# f.seek(0)
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st.write(str(json_data))
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json.dump(json_data, f)
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#f.truncate()
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df_final1.to_csv('predictions.csv')
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import pathlib as Path
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from requests import get
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import urllib.request
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import gradio as gr
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from gradio import inputs, outputs
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DATASET_REPO_URL = "https://huggingface.co/datasets/Seetha/visual_files"
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DATA_FILENAME = "level2.json"
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DATA_FILE = os.path.join("level2", DATA_FILENAME)
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HF_TOKEN = os.environ.get("HF_TOKEN")
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st.write("is none?", HF_TOKEN is None)
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st.write("hfh", huggingface_hub.__version__)
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repo = Repository(
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local_dir="level2", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
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)
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def main():
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# f.seek(0)
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st.write(str(json_data))
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json.dump(json_data, f)
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def store_message():
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with open(DATA_FILE, "w") as f:
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json.dump(json_data, f)
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commit_url = repo.push_to_hub()
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st.write(commit_url)
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#return generate_html()
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iface = gr.Interface(
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store_message()
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)
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iface.launch()
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#f.truncate()
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df_final1.to_csv('predictions.csv')
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