Update app.py

app.py

@@ -32,7 +32,6 @@ device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
 # Load text-only model and tokenizer (Pocket Llama)
 model_id = "prithivMLmods/Pocket-Llama2-3.2-3B-Instruct"
-#model_id = "prithivMLmods/Flerovium-2B"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(
     model_id,
@@ -286,12 +285,7 @@ demo = gr.ChatInterface(
         ["Write the code that converts temperatures between Celsius and Fahrenheit in short"],
         [{"text": "Create a short story based on the image.", "files": ["examples/1.jpg"]}],
         ["@JennyNeural Who was Nikola Tesla and what were his contributions?"],
-        [{"text": "@video-infer Describe the video", "files": ["examples/Missing.mp4"]}],
-      #  [{"text": "@video-infer Describe the Ad", "files": ["examples/coca.mp4"]}],
-      #  ["@GuyNeural Explain how rainbows are formed."],
-      # ["@PalomaNeural What is the water cycle?"],
-      #  ["@AlonsoNeural Who was Pablo Picasso and why is he famous?"],
-      #  ["@MadhurNeural What are the key principles of Ayurveda?"]
+        [{"text": "@video-infer Describe the video", "files": ["examples/Missing.mp4"]}]
     ],
     cache_examples=False,
     description="# **Callisto OCR**",