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README.md

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-title: Gradio Tabular
-emoji: 🐨
-colorFrom: purple
-colorTo: gray
-sdk: gradio
-sdk_version: 5.47.2
-app_file: app.py
-pinned: false
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-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# Device Use Before Sleep Predictor
+
+This Gradio Space hosts a machine learning model that predicts whether a student uses their device before sleep based on various factors related to their device usage and sleeping habits.
+
+## How to use
+
+Interact with the input fields to provide information about a student's habits:
+
+*   **phone_hours:** The average number of hours spent on a phone per day (decimal).
+*   **computer_hours:** The average number of hours spent on a computer per day (decimal).
+*   **device_count:** The total number of devices the student owns (integer).
+*   **sleep_quality:** The student's self-reported sleep quality (select from "Poor", "Fair", "Good", "Excellent").
+*   **sleep_time:** The approximate time the student goes to sleep in 24-hour format (integer, e.g., 2200 for 10 PM, 100 for 1 AM).
+*   **sleep_hours:** The average number of hours the student sleeps per night (decimal).
+
+The app will output the predicted outcome ("Uses device before bed" or "Does not use device before bed") and the confidence score for the prediction.
+
+## Examples
+
+Here are a few representative examples you can try:
+
+*   Phone Hours: 2.0, Computer Hours: 3.0, Device Count: 3, Sleep Quality: Good, Sleep Time: 2200, Sleep Hours: 8.0
+*   Phone Hours: 5.0, Computer Hours: 6.0, Device Count: 5, Sleep Quality: Fair, Sleep Time: 100, Sleep Hours: 6.0
+*   Phone Hours: 1.0, Computer Hours: 1.0, Device Count: 1, Sleep Quality: Excellent, Sleep Time: 2300, Sleep Hours: 9.0