企业成品网站模板,网站开发从整体上,初学网站开发需要书籍,前端网站大全如何利用streamlit 將 gemini pro vision 進行圖片內容介紹
1.安裝pip install google-generativeai
2.至 gemini pro 取 api key
3.撰寫如下文章:(方法一) import json import requests import base64 import streamlit as st
讀取圖片檔案#xff0c;並轉換成 Base64 編…如何利用streamlit 將 gemini pro vision 進行圖片內容介紹
1.安裝pip install google-generativeai
2.至 gemini pro 取 api key
3.撰寫如下文章:(方法一) import json import requests import base64 import streamlit as st
讀取圖片檔案並轉換成 Base64 編碼的字串
with open(“ss.jpg”, “rb”) as image_file: image_base64_string base64.b64encode(image_file.read()).decode(‘utf-8’) # print(image_base64_string)
url f’https://generativelanguage.googleapis.com/v1/models/gemini-pro-vision:generateContent?key{“XXXXXSlt0IWdyIHs71gQYGmDq5keWHYpw”}’ headers {‘Content-Type’: ‘application/json’} data { “contents”: [ { “parts”: [ {“text”: “詳細說明你在這張圖片中看到什麼”}, { “inline_data”: { “mime_type”: “image/jpeg”, “data”: image_base64_string } } ] }, ] } response requests.post(url, headersheaders, jsondata) st.write(response.json()[“candidates”][0][“content”][“parts”][0][“text”]) st.write(response.json()) 3.撰寫如下文章:(方法二)
import streamlit as st
import google.generativeai as genai
import google.ai.generativelanguage as glm
from PIL import ImageAPI_KEY AIzaSyA7dRRSlt0xxxxxw 自己改
genai.configure(api_keyAPI_KEY)st.set_page_config(page_titleGenerate Blog, page_icon,layoutcentered,initial_sidebar_statecollapsed)st.header(輸入一個影像將進行影像解說)uploaded_file st.file_uploader(選擇影像, accept_multiple_filesFalse, type[jpg, png])if uploaded_file is not None:image Image.open(uploaded_file)c1,c2st.columns([1,1])c1.image(image, captionUploaded Image, use_column_widthTrue, width150)bytes_data uploaded_file.getvalue()generate st.button(針對圖片進行說明!)if generate:model genai.GenerativeModel(gemini-pro-vision)response model.generate_content(glm.Content(parts [glm.Part(text詳細說明你在這張圖片中看到什麼),glm.Part(inline_dataglm.Blob(mime_typeimage/jpeg,databytes_data)),],),streamTrue)response.resolve()c2.write(response.text)在这里插入图片描述
