Update app.py

app.py

@@ -1,21 +1,42 @@
-from langchain.agents import load_tools
-from langchain.agents import initialize_agent
-from langchain.agents import AgentType
-from langchain import OpenAI
+import langchain
+import streamlit as st
 
-llm = OpenAI(temperature=0.0)
-tools = load_tools(["llm-math"], llm=llm)
+# Create a LangChain client
+client = langchain.Client()
 
-agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
+# Define the function that will generate code for a given prompt
+def generate_code(prompt):
+  """Generates code for a given prompt.
 
-import streamlit as st
+  Args:
+    prompt: The prompt to generate code for.
+
+  Returns:
+    The generated code.
+  """
+
+  # Create a request object
+  request = langchain.GenerateCodeRequest(
+      prompt=prompt,
+      language="python",
+      num_tokens=100)
+
+  # Send the request to the LangChain API
+  response = client.generate_code(request)
+
+  # Return the generated code
+  return response.code
+
+# Create a Streamlit app
+st.title("LangChain Code Specialist")
+
+# Create a text input field for the user to enter a prompt
+prompt = st.text_input("Enter a prompt:")
 
-def main():
-    st.title("LangChain Code Specialist")
-    user_input = st.text_input("Enter your code request:")
-    if user_input:
-        response = agent.run(user_input)
-        st.write(response)
+# Create a button for the user to click to generate code
+if st.button("Generate Code"):
+  # Generate code for the given prompt
+  code = generate_code(prompt)
 
-if __name__ == "__main__":
-    main()
+  # Display the generated code
+  st.code(code)