entropy memory views

app.py

@@ -1,10 +1,15 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+
+## TORAH CODES LIBS
 from lib.gematria import calculate_gematria, strip_diacritics
 from lib.temuraeh import temura_conv
 from lib.notarikon import notarikon
 from lib.ziruph import encrypt,decrypt
+from lib.entropy import *
 from torahcodes.resources.func.torah import *
+
+## UTILS
 import math
 import pandas as pd
 import datetime
@@ -17,6 +22,13 @@ def get_time():
 
 plot_end = 2 * math.pi
 
+def entropy_magic(texto_ejemplo):
+
+    text_processor = TextProcessor(texto_ejemplo)
+    spliter_optimo = text_processor.magic_split()
+    return (text_processor.entropy(),text_processor.tokenize(spliter_optimo))
+
+
 
 def get_plot(period=1):
     global plot_end
@@ -267,11 +279,11 @@ with gr.Blocks(title="Sophia, Torah Codes",css=css,js=js) as app:
     with gr.Tab("Entropy"):
             zir_text2 = gr.Textbox(label="Text to analyze",scale=3)
             zir_btn2 = gr.Button("Analyze",scale=1)
-            zir_result2 = gr.Markdown("Paste a text for analysis")
+            zir_result2 = gr.JSON()
             
             zir_btn2.click(
-                ziruph_dec,
-                inputs=[zir_text2,custom_dic2],
+                entropy_magic,
+                inputs=[zir_text2],
                 outputs=zir_result2
             )
     

lib/entropy.py

@@ -120,12 +120,3 @@ class TextProcessor:
         return tokenized_sentence
 
 
-# Example usage:
-texto_ejemplo = sys.argv[1]
-
-text_processor = TextProcessor(texto_ejemplo)
-spliter_optimo = text_processor.magic_split()
-print("Spliter óptimo:", spliter_optimo)
-print(text_processor.entropy())
-print(text_processor.tokenize(spliter_optimo))
-