Update app.py

app.py

@@ -8,20 +8,13 @@ from PIL import Image
 from transformers import AutoProcessor, AutoTokenizer,LlavaForConditionalGeneration
 from transformers import TextIteratorStreamer
 import spaces
-
+import gradio as gr
 app = Flask(__name__)
 
-PLACEHOLDER = """
-<div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;">
-   <img src="https://cdn-uploads.huggingface.co/production/uploads/64ccdc322e592905f922a06e/DDIW0kbWmdOQWwy4XMhwX.png" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55;  "> 
-   <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">LLaVA-Llama-3-8B</h1>
-   <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Llava-Llama-3-8b is a LLaVA model fine-tuned from Meta-Llama-3-8B-Instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner</p>
-</div>
-"""
+
 
 model_id = "xtuner/llava-llama-3-8b-v1_1-transformers"
 processor = AutoProcessor.from_pretrained(model_id)
-tokenizer = AutoTokenizer.from_pretrained(model_id, legacy=False)
 
 model = LlavaForConditionalGeneration.from_pretrained(
     model_id,