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Update README.md

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  1. README.md +5 -8
README.md CHANGED
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  ---
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- title: Test
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- emoji: 🏢
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- colorFrom: gray
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  colorTo: purple
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  sdk: gradio
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  sdk_version: 5.5.0
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  app_file: app.py
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  pinned: false
 
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  ---
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@@ -26,7 +27,6 @@ To develop our model for violence detection, we combined four datasets, amassing
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  ## Structure
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-
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  * **app.py**: The main Python script implements the Gradio, handles video uploads, and processes videos using the violence detection model.
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  * **requirements.txt**: A text file contains all needed libraries.
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  * **pre_3D_model.h5**: h5 file contains the model weights.
@@ -36,7 +36,4 @@ To develop our model for violence detection, we combined four datasets, amassing
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  * **Video Upload**: Users can upload videos in .mp4, .avi, or .mov format.
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  * **Preprocessing**: The video is sampled to 40 frames, resized, and normalized.
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  * **Classification**: The preprocessed video frames are fed into the 3D CNN model to classify the content.
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- * **Results Display**: The result page displays the classification label and the probability of violence.
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-
 
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  ---
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+ title: Video-Violence-Detection
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+ emoji: 🏃
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+ colorFrom: purple
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  colorTo: purple
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  sdk: gradio
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  sdk_version: 5.5.0
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  app_file: app.py
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  pinned: false
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+ short_description: A model for classifing a video to having violence or not
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  ---
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  ## Structure
 
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  * **app.py**: The main Python script implements the Gradio, handles video uploads, and processes videos using the violence detection model.
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  * **requirements.txt**: A text file contains all needed libraries.
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  * **pre_3D_model.h5**: h5 file contains the model weights.
 
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  * **Video Upload**: Users can upload videos in .mp4, .avi, or .mov format.
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  * **Preprocessing**: The video is sampled to 40 frames, resized, and normalized.
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  * **Classification**: The preprocessed video frames are fed into the 3D CNN model to classify the content.
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+ * **Results Display**: The result page displays the classification label and the probability of violence.