Update README.md

README.md

@@ -1,46 +1,8 @@
-
-## Requirements 
-### Installation
-Follow these steps to set up a conda environment and ensure all necessary packages are installed:
-
-```bash
-conda create -n dota python=3.7
-conda activate dota
-
-# The results are produced with PyTorch 1.12.1 and CUDA 11.3
-conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
-
-pip install -r requirements.txt
-```
-
-### Dataset
-To set up all required datasets, kindly refer to the guidance in [DATASETS.md](docs/DATASETS.md), which incorporates steps for two benchmarks.
-
-## Run dota
-### Configs
-The configuration for DOTA hyperparameters in `configs/dataset.yaml` can be tailored within the provided file to meet the needs of various datasets. 
-
-### Running
-
-Below are instructions for running DOTA on both Out-of-Distribution (OOD) and Cross-Domain benchmarks using various backbone architectures. Follow the steps suited to your specific needs:"
-
-#### OOD Benchmark
-* **ResNet50**: Run DOTA on the OOD Benchmark using the ResNet50 model:
-```
-bash ./scripts/run_ood_benchmark_rn50.sh 
-```
-* **ViT/B-16**: Run DOTA on the OOD Benchmark using the ViT/B-16 model.
-```
-bash ./scripts/run_ood_benchmark_vit.sh 
-```
-
-#### Cross-Domain Benchmark
-* **ResNet50**: Run DOTA on the Cross-Domain Benchmark using the ResNet50 model:
-```
-bash ./scripts/run_cd_benchmark_rn50.sh 
-```
-* **ViT/B-16**: Run DOTA on the Cross-Domain Benchmark using the ViT/B-16 model.
-```
-bash ./scripts/run_cd_benchmark_vit.sh 
-```
-
+title: DOTA CLIP Classifier
+emoji: 🚀
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: "4.19.2"
+app_file: app.py
+pinned: false