Update app.py

app.py

@@ -103,21 +103,23 @@ def gpt_predict(inputs, request:gr.Request=gr.State([]), top_p = 1, temperature
     return partial_words
 
 readable_topics_dic = dict()
-readable_topics = []
-input = "With an answer of only few words (less than 5) give me a word or expression that charaterise the best each one of those set of words as if it was the description of a theme: " 
+input = "With an answer of only few words (less than 5) give me an expression that charaterises the best each one of those set of words as if it was the description of a theme: " 
 
 for t in topics.tolist():
     if t != -1:
         selected_data = df[df['topic'] == t]
         keywords = selected_data['keywords'][selected_data.index[0]]
-        print("ky ",keywords)
         input += ", [" + ", ".join(keywords) + "]"
 
 input += " (separate each expression by //)"
 print(input)
 new_topics = "".join(gpt_predict(input)) 
-
-print("nt ", new_topics)
+nt = new_topics.split("//")
+i = 0
+for t in topics.tolist():
+    if t != -1:
+        readable_topics_dic[nt[i]] = t
+print("nt ", readable_topics_dic)