added file download
Browse files
app.py
CHANGED
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@@ -7,7 +7,16 @@ import os
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# Load your private Hugging Face dataset
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DATASET_NAME = "andito/technical_interview_internship_2025"
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TOKEN = os.environ.get("HF_TOKEN")
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dataset = load_dataset(DATASET_NAME, split="train")
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# Function to log download data to the HF Dataset
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def log_to_hf_dataset(username):
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@@ -27,14 +36,14 @@ def log_to_hf_dataset(username):
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updated_dataset.push_to_hub(DATASET_NAME, token=TOKEN)
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# Provide file for download
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return "Thank you! Your download is ready.",
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# Gradio interface
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with gr.Blocks() as demo:
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username = gr.Textbox(label="Enter your username", placeholder="Your Hugging Face username")
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download_button = gr.Button("Download Exercise")
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output = gr.Text()
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file = gr.File()
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download_button.click(log_to_hf_dataset, inputs=[username], outputs=[output, file])
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# Load your private Hugging Face dataset
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DATASET_NAME = "andito/technical_interview_internship_2025"
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TOKEN = os.environ.get("HF_TOKEN")
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EXERCISE_URL = os.environ.get("EXERCISE")
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dataset = load_dataset(DATASET_NAME, split="train")
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LOCAL_FILE_PATH = "exercise.pdf"
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# Function to fetch the exercise file if not already downloaded
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def fetch_exercise_file():
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if not os.path.exists(LOCAL_FILE_PATH):
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response = requests.get(EXERCISE_URL)
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with open(LOCAL_FILE_PATH, "wb") as f:
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f.write(response.content)
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# Function to log download data to the HF Dataset
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def log_to_hf_dataset(username):
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updated_dataset.push_to_hub(DATASET_NAME, token=TOKEN)
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# Provide file for download
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return "Thank you! Your download is ready.", LOCAL_FILE_PATH # Replace with your file path
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# Gradio interface
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with gr.Blocks() as demo:
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username = gr.Textbox(label="Enter your username", placeholder="Your Hugging Face username")
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download_button = gr.Button("Download Exercise")
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output = gr.Text()
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file = gr.File(label="Download your exercise file")
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download_button.click(log_to_hf_dataset, inputs=[username], outputs=[output, file])
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