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	| import langchain | |
| import streamlit as st | |
| # Create a LangChain client | |
| client = langchain.Client() | |
| # Define the function that will generate code for a given prompt | |
| def generate_code(prompt): | |
| """Generates code for a given prompt. | |
| 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:") | |
| # 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) | |
| # Display the generated code | |
| st.code(code) |