Agent platformasini yig'ish

import streamlit as st
from dotenv import load_dotenv
from openai import OpenAI
 
load_dotenv()
st.title("ChatGPT klonu")
 
client = OpenAI()
 
# Model sozlamasini session state'da saqlaymiz
if "model" not in st.session_state:
    st.session_state["model"] = "gpt-4-turbo"
 
# Xabarlar tarixi
if "messages" not in st.session_state:
    st.session_state["messages"] = []
 
# Mavjud xabarlarni ko'rsatamiz
for message in st.session_state["messages"]:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# Walrus operatori (:=) — kiritilgan matnni bir vaqtda o'zgaruvchiga oladi va tekshiradi
if prompt := st.chat_input("Nima kerak?"):
    # Foydalanuvchi xabarini saqlaymiz va ko'rsatamiz
    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user"):
        st.markdown(prompt)
 
    # Model javobini olamiz
    with st.spinner("Assistant o'ylayapti..."):
        with st.chat_message("assistant"):
            javob = client.chat.completions.create(
                model=st.session_state["model"],
                messages=[
                    {"role": m["role"], "content": m["content"]}
                    for m in st.session_state.messages     # BUTUN tarix
                ],
            )
            matn = javob.choices[0].message.content
            st.markdown(matn)
 
    # Javobni tarixga qo'shamiz
    st.session_state.messages.append({"role": "assistant", "content": matn})

if prompt := st.chat_input("Nima kerak?"):
    st.session_state.messages.append({"role": "user", "content": prompt})
 
    with st.chat_message("assistant"):
        oqim = client.chat.completions.create(
            model=st.session_state["model"],
            messages=[{"role": m["role"], "content": m["content"]}
                      for m in st.session_state.messages],
            stream=True,                              # OQIM yoqildi
        )
        # st.write_stream oqimni avtomatik jonli ko'rsatadi
        matn = st.write_stream(oqim)
 
    st.session_state.messages.append({"role": "assistant", "content": matn})

# python_coder.yaml
name: "Python dasturchisi"
persona: |
  Siz tajribali Python dasturchisiz.
  Toza, PEP 8 uslubidagi kod yozasiz.
  Har funksiyaga docstring qo'shasiz.
goal: "Foydalanuvchi so'roviga ishlaydigan Python kodi yozish"
actions:
  - code_execution
  - file_read