update comments

generate-distances.py

@@ -1,11 +1,12 @@
 #!/usr/bin/python3
 
-""" Work in progress
+""" 
 Plan:
    Read in fullword.json for list of words and token
    Read in pre-calculated "proper" embedding for each token from safetensor file
-   Generate a tensor array of distance for each token, to every other token/embedding
-   Save it out
+   Prompt user for a word from the list
+   Generate a tensor array of distance to all the other known words
+   Print out the 20 closest ones
 """
 
 
@@ -97,8 +98,6 @@ def find_closest(targetword):
     print_distances(targetemb)
 
 
-
-print("Input a word now:")
-for line in sys.stdin:
-    input_text = line.rstrip()
+while True:
+    input_text=input("Input a word now:")
     find_closest(input_text)