AI 라이브러리 활용 특강 streamlit openai

https://docs.streamlit.io/library/api-reference

Streamlit Docs

 

---

 

pip install streamlit openai

 

WARNING: Failed to write executable - trying to use .deleteme logic
ERROR: Could not install packages due to an OSError: [WinError 2] 지정된 파일을 찾을 수 없습니다:
'C:\\Python311\\Scripts\\watchmedo.exe' ->
'C:\\Python311\\Scripts\\watchmedo.exe.deleteme'

>>> 가상환경 재진입

 

 

 

 

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow-intel 2.12.0 requires numpy<1.24,>=1.22, but you have numpy 1.24.3 which is incompatible.

>>> tensorflow-intel 패키지가 numpy 버전 1.24보다 작고 1.22 이상을 요구하지만,
현재 설치된 numpy 버전은 1.24.3이라서 호환되지 않는다는 것

>>> pip install --upgrade tensorflow-intel
tensorflow-intel 패키지 업그레이드

>>> pip install numpy==1.23
numpy 패키지를 특정 버전으로 다운그레이드

 

---

 

import streamlit as st

st.title("ChatGPT Plus DALL-E")

with st.form("form"):
    user_input = st.text_input("Prompt")
    submit = st.form_submit_button("Submit")

if submit:
    st.write(user_input)

 

streamlit run app.py
> Email 입력

 

 

openai

 

import streamlit as st
import openai

openai.api_key = "" # key

st.title("ChatGPT Plus DALL-E")

with st.form("form"):
    user_input = st.text_input("Prompt")
    submit = st.form_submit_button("Submit")

if submit:
    st.write(user_input)

    gpt_prompt = []

    # 시스템 메세지
    gpt_prompt.append({
        "role": "system",
        "content": "Imagine the detail appearance of the input. Response shortly."
    })

    # 사용자의 입력
    gpt_prompt.append({
        "role": "user",
        "content": user_input
    })

    prompt = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=gpt_prompt)
    
    st.markdown(prompt)

 

 

json 형태의 output이 나오는데 "content" 부분만 가져오기

 

st.markdown(prompt["choices"][0]["message"]["content"])

 

 

prompt = st.markdown(prompt["choices"][0]["message"]["content"])
st.caption(prompt)

 

 

DALL-E

 

import streamlit as st
import openai

openai.api_key = "" # key

st.title("ChatGPT Plus DALL-E")

with st.form("form"):
    user_input = st.text_input("Prompt")
    submit = st.form_submit_button("Submit")

if submit:
    st.write(user_input)

    # ChatGPT
    gpt_prompt = []
	
    # 시스템 메세지
    gpt_prompt.append({
        "role": "system",
        "content": "Imagine the detail appearance of the input. Response shortly."
    })

	# 사용자의 입력
    gpt_prompt.append({
        "role": "user",
        "content": user_input
    })

    prompt = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=gpt_prompt)

    prompt = prompt["choices"][0]["message"]["content"]
    st.caption(prompt)

    # DALL-E
    result = openai.Image.create(
        prompt=prompt,
        size="1024x1024"
    )

    st.image(result["data"][0]["url"])

 

 

????????????? 영어로 입력하기

 

with st.spinner("Wating for ChatGPT..."):
    prompt = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=gpt_prompt)

 

 

# DALL-E
with st.spinner("Wating for DALL-E..."):
    result = openai.Image.create(
        prompt=prompt,
        size="1024x1024"
)

 

 

 

---

 

완성 코드

 

import streamlit as st
import openai

openai.api_key = "" # key

st.title("ChatGPT Plus DALL-E")

with st.form("form"):
    user_input = st.text_input("Prompt")
    submit = st.form_submit_button("Submit")

if submit:
    st.write(user_input)

    # ChatGPT
    gpt_prompt = []

    # 시스템 메세지
    gpt_prompt.append({
        "role": "system",
        "content": "Imagine the detail appearance of the input. Response shortly."
    })

    # 사용자의 입력
    gpt_prompt.append({
        "role": "user",
        "content": user_input
    })

    with st.spinner("Wating for ChatGPT..."):
        prompt = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=gpt_prompt)

    prompt = prompt["choices"][0]["message"]["content"]
    st.caption(prompt)

    # DALL-E
    with st.spinner("Wating for DALL-E..."):
        result = openai.Image.create(
            prompt=prompt,
            size="1024x1024"
    )

    st.image(result["data"][0]["url"])