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app.py
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@@ -1,8 +1,15 @@
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import gradio as gr
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import torch
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from PIL import Image
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from transformers import MllamaForConditionalGeneration, AutoProcessor
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from peft import PeftModel
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# Load model and processor (do this outside the inference function to avoid reloading)
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base_model_path = "meta-llama/Llama-3.2-11B-Vision-Instruct"
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import os
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import gradio as gr
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import torch
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from PIL import Image
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from transformers import MllamaForConditionalGeneration, AutoProcessor
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from peft import PeftModel
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from huggingface_hub import login
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# Login to Hugging Face
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if "HF_TOKEN" not in os.environ:
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raise ValueError("Please set the HF_TOKEN environment variable with your Hugging Face token")
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login(token=os.environ["HF_TOKEN"])
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# Load model and processor (do this outside the inference function to avoid reloading)
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base_model_path = "meta-llama/Llama-3.2-11B-Vision-Instruct"
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