Update app.py

app.py

@@ -27,18 +27,6 @@ dataset2 = fs.get_feature_group(name="daily_document_info").read()
 df2 = dataset2
 topics = df['topic'].unique()
 
-conversation_history = []
-
-def add_user_input(user_input):
-    conversation_history.append({"role": "user", "content": user_input})
-
-
-# Example usage:
-add_user_input("[season, gordon, doncic, points, nba, nuggets, rebounds, kuminga, game, raptors]")
-add_user_input("Give me a precise word for each item in the list.")
-add_user_input("NBA was ok.")
-add_user_input("With no brackets.")
-
 def gpt_predict(inputs, request:gr.Request=gr.State([]), top_p = 1, temperature = 1, chat_counter = 0,history =[]):
     payload = {
         "model": MODEL,
@@ -120,7 +108,7 @@ def gpt_predict(inputs, request:gr.Request=gr.State([]), top_p = 1, temperature
     return partial_words
 
 readable_topics_dic = dict()
-input = "For each on those list (delimited by '[' and ']') give me a precise word that charaterises the best his theme :" 
+input = "I have lists of multiple words : " 
 
 for t in topics.tolist():
     if t != -1:
@@ -129,8 +117,7 @@ for t in topics.tolist():
         input += ", [" + ", ".join(keywords) + "]"
         break
 
-input += "  (the answer should be one word by list separated by // with MAJ letter in front. If there are n lists, I want n words)"
-print(input)
+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 for each of those lists, and separate them by // (your answer should contain only one word for each)
 new_topics = "".join(gpt_predict(input)) 
 print("ok:", new_topics)
 nt = new_topics.split("//")