Update main.py

main.py

@@ -34,14 +34,6 @@ index.add(vectors)
 # Load the model for later use in embeddings
 model = sentence_transformers.SentenceTransformer("allenai-specter")
 
-# Choose random search placeholder
-placeholder = random.choice([
-    "design for additive manufacturing",
-    "best practices for agent based modeling"
-    "arctic environmental science",
-    "analysis of student teamwork"
-])
-
 # Define the search function
 def search(query: str, k: int):
     query = numpy.expand_dims(model.encode(query), axis=0)
@@ -80,7 +72,15 @@ def search(query: str, k: int):
 with gradio.Blocks() as demo:
     with gradio.Group():
         query = gradio.Textbox(
-            placeholder=placeholder, show_label=False, lines=1, max_lines=1
+            placeholder = random.choice([
+                "design for additive manufacturing",
+                "best practices for agent based modeling"
+                "arctic environmental science",
+                "analysis of student teamwork"
+            ]), 
+            show_label=False, 
+            lines=1, 
+            max_lines=1
         )
         with gradio.Accordion("Settings", open=False):
             k = gradio.Number(10.0, label="Number of results", precision=0)