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app.py

@@ -1,12 +1,12 @@
 import os
 import gradio as gr
-from langchain_community.chat_models import ChatOpenAI
+from langchain.chat_models import ChatOpenAI
 from langchain import LLMChain, PromptTemplate
 from langchain.memory import ConversationBufferMemory
 
 OPENAI_API_KEY=os.getenv('OPENAI_API_KEY')
 
-template = """Meet Riya, your youthful and witty personal assistant! At 21 years old, she's full of energy and always eager to help. Riya's goal is to assist you with any questions or problems you might have. Her enthusiasm shines through in every response, making interactions with her enjoyable and engaging.
+template = """You are a helpful assistant to answer all user queries.
 {chat_history}
 User: {user_message}
 Chatbot:"""
@@ -18,7 +18,7 @@ prompt = PromptTemplate(
 memory = ConversationBufferMemory(memory_key="chat_history")
 
 llm_chain = LLMChain(
-    llm=ChatOpenAI(temperature='1', model_name="gpt-3.5-turbo"),
+    llm=ChatOpenAI(temperature='0.5', model_name="gpt-3.5-turbo"),
     prompt=prompt,
     verbose=True,
     memory=memory,
@@ -31,4 +31,4 @@ def get_text_response(user_message,history):
 demo = gr.ChatInterface(get_text_response)
 
 if __name__ == "__main__":
-    demo.launch() #To  create a public link, set `share=True` in `launch()`. To enable errors and logs, set `debug=True` in `launch()`.
+    demo.launch() #To create a public link, set `share=True` in `launch()`. To enable errors and logs, set `debug=True` in `launch()`.