Simplify requirements

app.py

@@ -16,7 +16,6 @@ from datetime import datetime
 
 import torch
 from PIL import Image
-import matplotlib.pyplot as plt
 from diffusers import StableDiffusionInpaintPipeline
 from accelerate.utils import set_seed
 
@@ -48,7 +47,7 @@ class Instance:
 
         if torch.cuda.is_available():
             pipe = pipe.to('cuda')
-            
+
         def dummy(images, **kwargs):
             return images, False
         pipe.safety_checker = dummy
@@ -721,8 +720,6 @@ with Blocks(
             cache_examples=False,
         )
 
-    # https://huggingface.co/spaces/gligen/demo
-    # add hyperlink
     thank_desc = """
     Thanks
     <a href="https://huggingface.co/spaces/gligen/demo" target="_blank">GLIGEN demo</a>, for providing bounding box parsing module.

requirements.txt

@@ -2,31 +2,7 @@
 transformers
 diffusers
 accelerate
-opencv-python
-timm
-einops
-datasets
-rouge_score
-omegaconf
-ftfy
-pycocotools
-pycocoevalcap
-albumentations
-pudb
+numpy
 imageio
 imageio-ffmpeg
-clean-fid
-h5py
-pillow
-setuptools
-pytorch-lightning==1.5.9
-tensorboardX==2.4.1
-test-tube>=0.7.5
-streamlit>=0.73.1
-torch-fidelity==0.3.0
-torchmetrics==0.6.0
-kornia==0.6
-chardet
-cchardet
-taming-transformers-rom1504
-git+https://github.com/openai/CLIP.git
+pillow