使用 Lyzr SDK 构建 NLP WBOY

import streamlit as st

from lyzr_automata.ai_models.openai import openaimodel

from lyzr_automata import agent, task

from lyzr_automata.pipelines.linear_sync_pIPeline import linearsyncpipeline

from pil import image

from lyzr_automata.tasks.task_literals import inputtype, outputtype

import os

os.environ["openai_api_key"] = st.secrets["apikey"]

st.title("nl2php??‍?")

st.markdown("welcome to nl2php! this app effortlessly transfORMs your natural language instructions into functional php code. whether you're a beginner or an experienced developer, convert your ideas into ready-to-use code in seconds.")

input = st.text_input("please enter in natural language:", placeholder="type here")

open_ai_text_completion_model = openaimodel(

    api_key=st.secrets["apikey"],

    parameters={

        "model": "gpt-4-turbo-preview",

        "temperature": 0.2,

        "max_tokens": 1500,

    },

)

def generation(input):

    generator_agent = agent(

        role="expert php developer",

        prompt_persona="your task is to translate the natural language input from the user into accurate php code.")

    prompt = """

[prompts here]

"""

    generator_agent_task = task(

        name="generation",

        model=open_ai_text_completion_model,

        agent=generator_agent,

        instructions=prompt,

        default_input=input,

        output_type=outputtype.text,

        input_type=inputtype.text,

    ).execute()

    return generator_agent_task

if st.button("Convert!"):

    solution = generation(input)

    st.markdown(solution)