create app.py

app.py

@@ -0,0 +1,18 @@
+
+
+import s23_openai_clip
+import gradio as gr
+
+
+_, valid_df = make_train_valid_dfs()
+model, image_embeddings = get_image_embeddings(valid_df, "best.pt")
+
+query_text = "dogs on the grass"
+
+
+def greet(query_text):
+    return inference_CLIP(query_text)
+    
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo.launch("debug")