:poop: avoid imports to anything not a package ...

README.md

@@ -5,7 +5,7 @@ colorFrom: green
 colorTo: red
 sdk: gradio
 sdk_version: 4.37.2
-app_file: app/__main__.py
+app_file: app.py
 pinned: false
 ---
 

app/__main__.py → app.py

@@ -5,7 +5,6 @@ import json
 import html
 import random
 import datetime
-from .klimbr import randomize as klimbrize_string
 
 api_key = os.environ.get('FEATHERLESS_API_KEY')
 client = OpenAI(
@@ -13,11 +12,81 @@ client = OpenAI(
     api_key=api_key
 )
 
+# from https://github.com/av/klmbr/blob/ca2967123d171fc6d91c329c40e5050a86088446/klmbr/main.py
+# I sure which I could import this, but can't figure out how to make HF spaces run this as a module
+# and not a file.
+import random
+
+mods = [
+    "capitalize",
+    "diacritic",
+    'leetspeak',
+    "remove_vowel",
+]
+
+def klimbr_randomize(text, percentage):
+    if not text:
+        return "", {} # Return empty string and empty mapping if input is empty
+
+    if not 0 <= percentage <= 100:
+        raise ValueError("Percentage must be between 0 and 100")
+
+    words = text.split()
+    chars = list(text)
+    num_chars_to_modify = max(1, int(len(chars) * (percentage / 100)))
+    indices_to_modify = random.sample(range(len(chars)), num_chars_to_modify)
+    word_mapping = {}
+
+    for idx in indices_to_modify:
+        modification = random.choice(mods)
+
+        # Find the word that contains the current character
+        current_length = 0
+        for word_idx, word in enumerate(words):
+            if current_length <= idx < current_length + len(word):
+                original_word = word
+                word_start_idx = current_length
+                break
+            current_length += len(word) + 1 # +1 for the space
+        else:
+            # If we're here, we're likely dealing with a space or the last character
+            continue
+
+        if modification == "capitalize":
+            chars[idx] = chars[idx].swapcase()
+        elif modification == "diacritic":
+            if chars[idx].isalpha():
+                diacritics = ["̀", "́", "̂", "̃", "̈", "̄", "̆", "̇", "̊", "̋"]
+                chars[idx] = chars[idx] + random.choice(diacritics)
+        elif modification == "leetspeak":
+            leetspeak_map = {
+                "a": "4", "e": "3", "i": "1", "o": "0", "s": "5",
+                "t": "7", "b": "8", "g": "9", "l": "1",
+            }
+            chars[idx] = leetspeak_map.get(chars[idx].lower(), chars[idx])
+        elif modification == "remove_vowel":
+            if chars[idx].lower() in "aeiou":
+                chars[idx] = ""
+
+        modified_word = "".join(
+            chars[word_start_idx : word_start_idx + len(original_word)]
+        )
+
+        if modified_word != original_word:
+            # Clean up both the modified word and the original word
+            cleaned_modified_word = modified_word.rstrip('.,')
+            cleaned_original_word = original_word.rstrip('.,')
+            word_mapping[cleaned_modified_word] = cleaned_original_word
+
+    modified_text = "".join(chars)
+    return modified_text, word_mapping
+## end of klimbr inclusion
+
 klimbr_cache = {}
 def memoized_klimbr(message, percentage, extra):
     key = (message, percentage, extra)
     if key not in klimbr_cache:
-        klimbr_cache[key] = klimbrize_string(message, percentage)[0]
+        klimbr_cache[key] = klimbr_randomize(message, percentage)[0]
 
     return klimbr_cache[key]
 

app/klimbr.py

@@ -1,66 +0,0 @@
-# from https://github.com/av/klmbr/blob/ca2967123d171fc6d91c329c40e5050a86088446/klmbr/main.py
-import random
-
-mods = [
-    "capitalize",
-    "diacritic",
-    'leetspeak',
-    "remove_vowel",
-]
-
-def randomize(text, percentage):
-    if not text:
-        return "", {} # Return empty string and empty mapping if input is empty
-
-    if not 0 <= percentage <= 100:
-        raise ValueError("Percentage must be between 0 and 100")
-
-    words = text.split()
-    chars = list(text)
-    num_chars_to_modify = max(1, int(len(chars) * (percentage / 100)))
-    indices_to_modify = random.sample(range(len(chars)), num_chars_to_modify)
-    word_mapping = {}
-
-    for idx in indices_to_modify:
-        modification = random.choice(mods)
-
-        # Find the word that contains the current character
-        current_length = 0
-        for word_idx, word in enumerate(words):
-            if current_length <= idx < current_length + len(word):
-                original_word = word
-                word_start_idx = current_length
-                break
-            current_length += len(word) + 1 # +1 for the space
-        else:
-            # If we're here, we're likely dealing with a space or the last character
-            continue
-
-        if modification == "capitalize":
-            chars[idx] = chars[idx].swapcase()
-        elif modification == "diacritic":
-            if chars[idx].isalpha():
-                diacritics = ["̀", "́", "̂", "̃", "̈", "̄", "̆", "̇", "̊", "̋"]
-                chars[idx] = chars[idx] + random.choice(diacritics)
-        elif modification == "leetspeak":
-            leetspeak_map = {
-                "a": "4", "e": "3", "i": "1", "o": "0", "s": "5",
-                "t": "7", "b": "8", "g": "9", "l": "1",
-            }
-            chars[idx] = leetspeak_map.get(chars[idx].lower(), chars[idx])
-        elif modification == "remove_vowel":
-            if chars[idx].lower() in "aeiou":
-                chars[idx] = ""
-
-        modified_word = "".join(
-            chars[word_start_idx : word_start_idx + len(original_word)]
-        )
-
-        if modified_word != original_word:
-            # Clean up both the modified word and the original word
-            cleaned_modified_word = modified_word.rstrip('.,')
-            cleaned_original_word = original_word.rstrip('.,')
-            word_mapping[cleaned_modified_word] = cleaned_original_word
-
-    modified_text = "".join(chars)
-    return modified_text, word_mapping