Update app.py

app.py

@@ -111,20 +111,18 @@ for t in topics.tolist():
         freq = selected_data["scores"][selected_data.index[0]]
         keyword_freq_pairs = zip(keywords, freq)
         most_frequent_keyword = max(keyword_freq_pairs, key=lambda x: x[1])
-        mrk += most_frequent_keyword
+        mrk += most_frequent_keyword[0].capitalize()
         input += ", [" + ", ".join(keywords) + "]"
 
 
 input += "  I want you to give me only one precise word that best describes the theme of this list. If I give you multiple lists, I want you to give me one word with a maj in front for each of those lists, and separate them by // (your answer should contain only one word for each, if I give you 100 lists, You give me 100 words)"
 new_topics = "".join(gpt_predict(input)) 
 nt = new_topics.split("//")
-print(len(nt))
 
 #in case chatgpt overloaded
 i = 0
 if len(nt) < len(topics.tolist()):
     nt = [f"Topic {o+1}: {mrk[o]}" for o in range(len(topics.tolist()))]
-print(nt)
 for t in topics.tolist():
     if t != -1:
         readable_topics_dic[nt[i]] = t
@@ -134,7 +132,6 @@ for t in topics.tolist():
 
 
 def display_topics(topic):
-    print(readable_topics_dic)
     topic = readable_topics_dic[topic]
     # Filter DataFrame based on the selected topic
     selected_data = df[df['topic'] == topic]