Update README.md

README.md

@@ -1,3 +1,23 @@
 ---
 license: other
----
+---pip install transformers torch torchvision
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+import torch
+import torchvision.transforms as transforms
+from torchvision.io import write_video
+model = T5ForConditionalGeneration.from_pretrained("t5-base")
+tokenizer = T5Tokenizer.from_pretrained("t5-base")
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model = model.to(device)
+def generate_video_from_text(text):
+    input_ids = tokenizer.encode(text, return_tensors="pt").to(device)
+    output = model.generate(input_ids)
+    video_frames = output[0].cpu().numpy()
+
+    # Convert frames to a video
+    frames = [torch.tensor(frame, dtype=torch.uint8).permute(1, 2, 0) for frame in video_frames]
+    video = torch.stack(frames)
+    video = video.permute(0, 3, 1, 2)  # (T, C, H, W)
+
+    return video
+