app.py

from PIL import Image
import io
import streamlit as st
import google.generativeai as genai

safety_settings = [
  {
    "category": "HARM_CATEGORY_HARASSMENT",
    "threshold": "BLOCK_NONE"
  },
  {
    "category": "HARM_CATEGORY_HATE_SPEECH",
    "threshold": "BLOCK_NONE"
  },
  {
    "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
    "threshold": "BLOCK_NONE"
  },
  {
    "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
    "threshold": "BLOCK_NONE"
  },
]

if "authenticated" not in st.session_state:
    st.session_state["authenticated"] = False

if not st.session_state["authenticated"]:
    password = st.text_input("пасскод", type="password")

    if password == st.secrets["real_password"]:
        st.session_state["authenticated"] = True
        st.success("успех")
    elif password:
        st.warning("неудача")
else:
    with st.sidebar:
        st.title("Gemini Pro")

        genai.configure(api_key=st.secrets["api_key"])



        uploaded_image = st.file_uploader(
            label="загрузи изображение",
            label_visibility="visible",
            help="если загружено изображение - можно спрашивать по нему что-то, если нет - будет обычный чат",
            accept_multiple_files=False,
            type=["png", "jpg"],
        )

        if uploaded_image:
            image_bytes = uploaded_image.read()


    def get_response(messages, model="gemini-pro"):
        model = genai.GenerativeModel(model)
        res = model.generate_content(messages, stream=True, safety_settings=safety_settings)
        return res


    if "messages" not in st.session_state:
        st.session_state["messages"] = []
    messages = st.session_state["messages"]

    if messages:
        for item in messages:
            role, parts = item.values()
            if role == "user":
                st.chat_message("user").markdown(parts[0])
            elif role == "model":
                st.chat_message("assistant").markdown(parts[0])

    chat_message = st.chat_input("Спроси что-нибудь!")

    if chat_message:
        st.chat_message("user").markdown(chat_message)
        res_area = st.chat_message("assistant").empty()

        if "image_bytes" in globals():
            vision_message = [chat_message, Image.open(io.BytesIO(image_bytes))]
            res = get_response(vision_message, model="gemini-pro-vision")
        else:
            vision_message = [{"role": "user", "parts": [chat_message]}]
            res = get_response(vision_message)


        res_text = ""
        for chunk in res:
            res_text += chunk.text
            res_area.markdown(res_text)

        messages.append({"role": "model", "parts": [res_text]})