Update app.py

app.py

@@ -31,22 +31,6 @@ VALID_ZEROSHOT_VIDEOCLASSIFICATION_MODELS = [
 processor = AutoProcessor.from_pretrained(DEFAULT_MODEL)
 model = AutoModel.from_pretrained(DEFAULT_MODEL)
 
-examples = [
-    [
-        "https://www.youtu.be/l1dBM8ZECao",
-        "sleeping dog,cat fight club,birds of prey",
-    ],
-    [
-        "https://youtu.be/VMj-3S1tku0",
-        "programming course,eating spaghetti,playing football",
-    ],
-    [
-        "https://youtu.be/BRw7rvLdGzU",
-        "game of thrones,the lord of the rings,vikings",
-    ],
-]
-
-
 def select_model(model_name):
     global processor, model
     processor = AutoProcessor.from_pretrained(model_name)
@@ -93,15 +77,7 @@ def predict(youtube_url_or_file_path, labels_text):
 app = gr.Blocks()
 with app:
     gr.Markdown(
-        "# **<p align='center'>Zero-shot Video Classification with 🤗 Transformers</p>**"
-    )
-    gr.Markdown(
-        """
-        <p style='text-align: center'>
-        Follow me for more! 
-        <br> <a href='https://twitter.com/fcakyon' target='_blank'>twitter</a> | <a href='https://github.com/fcakyon' target='_blank'>github</a> | <a href='https://www.linkedin.com/in/fcakyon/' target='_blank'>linkedin</a> | <a href='https://fcakyon.medium.com/' target='_blank'>medium</a>
-        </p>
-        """
+        "# **<p align='center'> PROTOG - VIOLENCE DETECTION MODULE</p>**"
     )
 
     with gr.Row():
@@ -158,11 +134,5 @@ with app:
         inputs=[video_file, local_video_labels_text],
         outputs=[predictions, video_gif],
     )
-    gr.Markdown(
-        """
-        \n Demo created by: <a href=\"https://github.com/fcakyon\">fcakyon</a>.
-        <br> Based on this <a href=\"https://huggingface.co/docs/transformers/main/model_doc/xclip">HuggingFace model</a>.
-        """
-    )
 
 app.launch()