Update app.py

app.py

@@ -1,9 +1,12 @@
 import os
 import gradio as gr
 # from langchain.chat_models import ChatOpenAI
-from langchain_community.chat_models import ChatOpenAI
-from langchain import PromptTemplate
-from langchain.chains import LLMChain
+# from langchain_community.chat_models import ChatOpenAI
+from langchain_openai import ChatOpenAI
+# from langchain import PromptTemplate
+from langchain_core.prompts import PromptTemplate
+# from langchain.chains import LLMChain
+from langchain_core.runnables import RunnableSequence
 from langchain.memory import ConversationBufferMemory
 
 OPENAI_API_KEY=os.getenv('OPENAI_API_KEY')
@@ -80,18 +83,15 @@ prompt = PromptTemplate(
 
 memory = ConversationBufferMemory(memory_key="chat_history")
 
-llm_chain = LLMChain(
-    llm=ChatOpenAI(temperature='0.5', model_name="gpt-3.5-turbo"),
-    prompt=prompt,
-    verbose=True,
-    memory=memory,
-)
+llm = ChatOpenAI(temperature=0.5, model_name="gpt-3.5-turbo")
+
+llm_chain = RunnableSequence(prompt | llm | memory)
 
 def get_text_response(user_message,history):
-    response = llm_chain.predict(user_message = user_message)
+    response = llm_chain.run(user_message = user_message)
     return response
 
-theme =gr.themes.Default(primary_hue='#F57722')
+theme =gr.themes.Default(primary_hue='purple')
 demo = gr.ChatInterface(get_text_response,clear_btn=None,retry_btn=None,stop_btn=None,undo_btn=None,theme=theme,
                         chatbot= gr.Chatbot(bubble_full_width=False,label='Kum bot',show_label=True,height=350,show_share_button=False,
                                             avatar_images=('https://res.cloudinary.com/dtbarluca/image/upload/v1692694826/user_1177568_mmmdi6.png','https://res.cloudinary.com/dtbarluca/image/upload/v1690875247/hlogo.ico_nqdhd6.png')),examples=["Where did you learn this techonologies?","What are your interests?","Which places do you like to visit?","Your greatest Achievements?","how can connect to you through linkedin?"])