Update app.py

app.py

@@ -12,6 +12,13 @@ MODEL = "gpt-3.5-turbo"
 API_URL = "https://api.openai.com/v1/chat/completions"
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 
+user_inputs = [
+    "[season, gordon, doncic, points, nba, nuggets, rebounds, kuminga, game, raptors]",
+    "Give me a precise word for each item in the list.",
+    "NBA was ok.",
+    "With no brackets."
+]
+
 project = hopsworks.login(project="ServerlessIntroIris")
 fs = project.get_feature_store()
 dataset1 = fs.get_feature_group(name="daily_topic_info").read()
@@ -20,6 +27,20 @@ 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})
+    response = get_model_response(conversation_history)
+    conversation_history.append({"role": "assistant", "content": response})
+
+
+# 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,
@@ -50,9 +71,7 @@ def gpt_predict(inputs, request:gr.Request=gr.State([]), top_p = 1, temperature
             message["content"] = data
             messages.append(message)
         
-        message = {}
-        message["role"] = "user" 
-        message["content"] = inputs
+        message = conversation_history
         messages.append(message)
         payload = {
             "model": MODEL,