Create app.py

app.py

@@ -0,0 +1,15 @@
+import torch
+import streamlit as st
+from transformers import pipeline
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("feature-extraction", model="minchul/cvlface_adaface_ir101_webface12m", trust_remote_code=True)
+
+vis_feat = pipe("https://huggingface.co/datasets/nsvanirudh/test/resolve/main/VIS-frame-1653-used.png")
+print(vis_feat)
+st.write(vis_feat)
+#feature_extractor(text,return_tensors = "pt")[0].numpy().mean(axis=0)
+
+#st.write(x, 'squared is', x * x)