Create app.py

app.py

@@ -0,0 +1,26 @@
+import torch
+import gradio as gr
+from diffusers import DiffusionPipeline
+from diffusers.utils import export_to_video
+
+# Charger le modèle de diffusion
+pipe = DiffusionPipeline.from_pretrained("damo-vilab/text-to-video-ms-1.7b", torch_dtype=torch.float16, variant="fp16")
+pipe = pipe.to("cuda")
+
+# Fonction pour générer la vidéo
+def generate_video(prompt):
+    video_frames = pipe(prompt).frames[0]
+    video_path = export_to_video(video_frames)
+    return video_path
+
+# Interface Gradio
+iface = gr.Interface(
+    fn=generate_video, 
+    inputs=gr.Textbox(label="Enter Prompt", placeholder="e.g., Spiderman is surfing"), 
+    outputs=gr.Video(label="Generated Video"),
+    title="Text-to-Video Generation",
+    description="Generate a video based on a textual prompt."
+)
+
+# Lancer l'interface
+iface.launch()