add demo

app.py

@@ -28,11 +28,7 @@ import shutil
 title = "# 🙋🏻‍♂️Welcome to 🌟Tonic's 🌋📹LLaVA-Video!"
 description1 ="""The **🌋📹LLaVA-Video-7B-Qwen2** is a 7B parameter model  trained on the 🌋📹LLaVA-Video-178K dataset and the LLaVA-OneVision dataset. It is [based on the **Qwen2 language model**](https://huggingface.co/collections/Qwen/qwen2-6659360b33528ced941e557f), supporting a context window of up to 32K tokens. The model can process and interact with images, multi-images, and videos, with specific optimizations for video analysis.
 This model leverages the **SO400M vision backbone** for visual input and Qwen2 for language processing, making it highly efficient in multi-modal reasoning, including visual and video-based tasks.
-<<<<<<< HEAD
 🌋📹LLaVA-Video has larger variants of [32B](https://huggingface.co/lmms-lab/LLaVA-NeXT-Video-32B-Qwen) and [72B](https://huggingface.co/lmms-lab/LLaVA-Video-72B-Qwen2) and with a [variant](https://huggingface.co/lmms-lab/LLaVA-Video-7B-Qwen2-Video-Only) only trained on the new synthetic data
-=======
-🌋📹LLaVA-Video has larger variants of [32B](https://huggingface.co/lmms-lab/LLaVA-NeXT-Video-32B-Qwen) and [72B](https://huggingface.co/lmms-lab/LLaVA-Video-72B-Qwen2) and with a [variant](https://huggingface.co/lmms-lab/LLaVA-Video-7B-Qwen2-Video-Only only trained on the new synthetic data
->>>>>>> b297085e69127cc23e50f4a85219c4057e5ce2c5
 For further details, please visit the [Project Page](https://github.com/LLaVA-VL/LLaVA-NeXT) or check out the corresponding [research paper](https://arxiv.org/abs/2410.02713).
 """
 description2 ="""- **Architecture**: `LlavaQwenForCausalLM`