diff --git a/main.py b/main.py
index 662ee0f..d592520 100644
--- a/main.py
+++ b/main.py
@@ -19,7 +19,7 @@ def interact(username: str) -> bool:
         return False
     if 'my name' in question.lower():
         question = 'My name is ' + username + '.' + question
-    answer = model.generate_answer(question)
+    answer = model.askme(question)
     print("Answer:", answer)
     speech.say(answer)
     return True
@@ -34,7 +34,7 @@ def talk(username: str) -> bool:
         return False
     if 'my name' in question.lower():
         question = 'My name is ' + username + '.' + question
-    answer = model.generate_answer(question)
+    answer = model.askme(question)
     print("Answer:", answer)
     speech.say(answer)
     return True
diff --git a/model.py b/model.py
index ff85249..7aa67c0 100644
--- a/model.py
+++ b/model.py
@@ -1,22 +1,123 @@
 # import os
 import openai
+from langchain.utilities import WikipediaAPIWrapper
+from langchain import OpenAI
+from langchain import PromptTemplate
+import os 
+from dotenv import find_dotenv, load_dotenv
+from langchain.utilities import PythonREPL
+from langchain.tools import DuckDuckGoSearchRun
+from langchain.agents import Tool
+from langchain.agents import initialize_agent
 
-with open("API_KEY", 'r') as f:
-    openai.api_key = f.read().strip()
+# with open("API_KEY", "r") as f:
+#     openai.api_key = f.read().strip()
 MODEL_ENGINE = "text-davinci-002"
 
+load_dotenv(find_dotenv())
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 
-def generate_answer(question):
-    prompt = (f"Question: {question}\n"
-              "Answer:")
-    completions = openai.Completion.create(
-        engine=MODEL_ENGINE,
-        prompt=prompt,
-        max_tokens=1024,
-        n=1,
-        stop=None,
-        temperature=0.5,
+question = "Who won the fight between Logan Paul and Dillon Danis And How?"
+
+llm = OpenAI(temperature=0.5)
+
+def askme(question):
+
+    def ask_wiki(question):
+        wiki = WikipediaAPIWrapper()
+
+
+        result = wiki.run(question)
+        template = """
+        Please write a concise and to the point summary, make it easy to understand, include all important points from the following text:
+        {result}
+        Write only those points whhich are related to the {question}
+    """
+        prompt = PromptTemplate(input_variables=["result","question"], template=template)
+        summary_prompt = prompt.format(result=result,question=question)
+        summary = llm(summary_prompt)
+
+        return summary
+
+
+    def ask_REPL(question):
+        python_repl = PythonREPL()
+        result = python_repl.run(question)
+        return result
+
+
+    def ask_web(question):
+        search = DuckDuckGoSearchRun()
+        result = search.run(question)
+
+        template = """
+        Please write a concise and to the point summary, easy to understand, include all important points from the following text:
+        {result}
+        Write only those points which are related to the {question}
+        Do NOT write unrelated points
+    """
+        prompt = PromptTemplate(input_variables=["result","question"], template=template)
+        summary_prompt = prompt.format(result=result,question=question)
+        summary = llm(summary_prompt)
+
+        return summary
+
+
+    # print(ask_web(question))
+
+    def ask_openai(question):
+        prompt = f"Question: {question}\n" "Answer:"
+        completions = openai.Completion.create(
+            engine=MODEL_ENGINE,
+            prompt=prompt,
+            max_tokens=1024,
+            n=1,
+            stop=None,
+            temperature=0.5,
+        )
+        message = completions.choices[0].text
+        answer = message.strip().split("\nAnswer:")[-1].strip()
+        return answer
+
+
+    tools = [
+        Tool(
+            name = "wikipedia",
+            func= ask_wiki,
+            description=" Useful when you need factual information about topics, concepts, events and people. on wikipedia"
+        )
+    ]
+
+    repl_tool = Tool(
+        name='Python REPL',
+        func= ask_REPL,
+        description="useful for when you need to use python to answer a question. You should input python code"
+        )
+
+    duckduckgo_tool = Tool(
+        name='Web Search',
+        func= ask_web,
+        description="Useful for when you need to do a search on the internet to find information that another tool can't find, or when you need up-to-date factual information that goes beyond your existing knowledge. be specific with your input."
     )
-    message = completions.choices[0].text
-    answer = message.strip().split("\nAnswer:")[-1].strip()
+
+    openai_tool = Tool(
+        name="openai search",
+        func= ask_openai,
+        description='Useful when you need accurate and insightful answers to complex questions that go beyond factual information.'
+    )
+
+    tools.append(duckduckgo_tool)
+    tools.append(repl_tool)
+    tools.append(openai_tool)
+
+    zero_shot_agent = initialize_agent(
+        agent="zero-shot-react-description",
+        tools=tools,
+        llm=llm,
+        verbose=False,
+        max_iterations=3,
+    )
+
+
+    answer = zero_shot_agent.run(question)
     return answer