Create app.py

app.py

@@ -0,0 +1,66 @@
+import os
+from langchain import OpenAI 
+from langchain.chat_models import ChatOpenAI
+from langchain.chains.conversation.memory import ConversationBufferWindowMemory
+
+turbo_llm = ChatOpenAI(
+    temperature=0,
+    model_name='gpt-3.5-turbo'
+)
+
+from langchain.tools import DuckDuckGoSearchTool
+from langchain.agents import Tool
+from langchain.tools import BaseTool
+
+search = DuckDuckGoSearchTool()
+# defining a single tool
+tools = [
+    Tool(
+        name = "search",
+        func=search.run,
+        description="useful for when you need to answer questions about current events. You should ask targeted questions"
+    )
+]
+
+def meaning_of_life(input=""):
+    return 'The meaning of life is 42 if rounded but is actually 42.17658'
+life_tool = Tool(
+    name='Meaning of Life',
+    func= meaning_of_life,
+    description="Useful for when you need to answer questions about the meaning of life. input should be MOL "
+)
+
+import random
+def random_num(input=""):
+    return random.randint(0,5)
+#random_num()
+random_tool = Tool(
+    name='Random number',
+    func= random_num,
+    description="Useful for when you need to get a random number. input should be 'random'"
+)
+
+from langchain.agents import initialize_agent
+
+tools = [search, random_tool, life_tool]
+
+# conversational agent memory
+memory = ConversationBufferWindowMemory(
+    memory_key='chat_history',
+    k=3,
+    return_messages=True
+)
+
+# create our agent
+conversational_agent = initialize_agent(
+    agent='chat-conversational-react-description',
+    tools=tools,
+    llm=turbo_llm,
+    verbose=True,
+    max_iterations=3,
+    early_stopping_method='generate',
+    memory=memory
+)
+
+ai_res=conversational_agent("What time is it in Beijing China?")
+print(ai_res)