Update README.md

README.md

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 title: Gatekeeper Float16
-emoji: 🚀
+emoji: 🏃
 colorFrom: gray
 colorTo: red
 sdk: gradio
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 license: apache-2.0
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Gatekeeper Model
+
+## What This Model Does
+The Gatekeeper Model is a binary image classifier.
+It takes an image as input and determines whether
+the image contains a cervix or not.
+
+## Model Details
+
+- Architecture: ResNet50
+- Format: TensorFlow Lite Float16
+- Size: 44MB
+- Task: Binary Image Classification
+
+## Class Labels
+
+| Index | Label      | Description                       |
+|-------|------------|-----------------------------------|
+| 0     | Non-Cervix | Image does not contain a cervix   |
+| 1     | Cervix     | Image contains a cervix           |
+
+## How to Use
+
+1. Open the application
+2. Upload an image using the upload box
+3. Click the Run Classification button
+4. View the confidence scores and prediction on the right side
+
+## Disclaimer
+
+This tool is strictly for research purposes only.
+It is not validated for clinical use and should not
+be used to make any medical decisions or diagnoses.