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# refer to repo https://github.com/gradio-app/gradio/blob/main/demo/chatbot_multimodal/run.ipynb for enhancement
import PIL.Image
import gradio as gr
import base64
import time
import os
import google.generativeai as genai
import requests
import pathlib
txt_model = genai.GenerativeModel('gemini-pro')
vis_model = genai.GenerativeModel('gemini-pro-vision')
txt_prompt_1 = """
请列出图片中的所有食物项目，每个项目应在 Markdown 格式的食物-营养成分表中占据一行，表格包括四列：序号、食物、注意营养成分和推荐摄入量。其中，“主要营养成分”指的是食物中的主要成分，而“推荐摄入量”则是该成分的建议每日或每周摄入量。
** 示例食物-营养成分表
| 序号 | 食物 | 主要营养成分 | 推荐摄入量 |
|-----|--------------|------------------------------------------------------------------------------------------|--------------------------------------|
"""
txt_display_1 = 'content of the letter: '
txt_prompt_selfie = """
以照片中的主体人物与背景做为对象，分别对人物与背景分别做出评语，对人物做出3个评语，对背景也做出3个评语。这些评语必须是轻松诙谐的用词与内容。
** 人物评语
| 序号 | 特征 | 评语
|-----|--------------|-----------------------------------------------------------------------------
** 背景评语
| 序号 | 特征 | 评语
|-----|--------------|-----------------------------------------------------------------------------
"""
txt_display_selfie = '--- '
import os
GOOGLE_API_KEY=os.getenv('GOOGLE_API_KEY')
genai.configure(api_key=GOOGLE_API_KEY)
SMS_URL =os.getenv('SMS_URL')
SMS_TOK =os.getenv('SMS_TOK')
sms_text ="..."
# Image to Base 64 Converter
def image_to_base64(image_path):
with open(image_path, 'rb') as img:
encoded_string = base64.b64encode(img.read())
return encoded_string.decode('utf-8')
# Function that takes User Inputs, generates Response and displays on Chat UI
def selfie_response(img):
if not img:
response = txt_model.generate_content(txt_prompt_selfie)
return response
else:
img = PIL.Image.open(img)
response = vis_model.generate_content([txt_prompt_selfie,img])
return response.text
# Function that takes User Inputs, generates Response and displays on Chat UI
def app1_response(img):
if not img:
response = txt_model.generate_content(txt_prompt_1)
return response
else:
img = PIL.Image.open(img)
response = vis_model.generate_content([txt_prompt_1,img])
return response.text
# SMS service ends in March 2024, to restore service @Sinch Simple Text
def send_SMS(resp_text):
url = SMS_URL
headers = {
"Authorization": SMS_TOK,
"Content-Type": "application/json"
}
data = {
"from": "12085686834",
"to": ["18587331029"],
"body": resp_text
}
response = requests.post(url, json=data, headers=headers)
return response.text
return "....."
# gradio block
with gr.Blocks() as app1:
with gr.Column():
gr.Markdown("## 🥷 点评餐盘 ##")
gr.Markdown("```for xxxxxx ✉ and/or xxx ⌦, include photo here...```")
image_box = gr.Image(label="✂ 对象：餐盘", type="filepath")
btn1 = gr.Button("点评这盘菜 ☑")
out1 = gr.Textbox(label="here are the actionables...")
btn2 = gr.Button("(disabled)发短信 ↗️")
out2 = gr.Textbox(label="(disabled) no message been sent, this is just a mockup confirmation...")
btn1.click(fn=app1_response, inputs=[image_box], outputs=out1)
btn2.click(fn=send_SMS, inputs=out1, outputs=out2)
gr.Markdown("""
# 🥷 Summerize eMail & Make a Plan #
[demo video](https://youtu.be/lJ4jIAEVRNY)
""")
examples=[
os.path.join(os.path.dirname(__file__), "images/missionemail.png"),
],
with gr.Blocks() as app_selfie:
with gr.Column():
gr.Markdown("## ↗️ 点评自拍（请站在海报墙前面拍） ##")
gr.Markdown("```xxxx ⌦, paste screenshot here...```")
image_box = gr.Image(label="✂ 乐意保墙，与LOGO合拍", type="filepath")
btn_selfie1 = gr.Button("生成趣味点评 ☑")
out_selfife1 = gr.Textbox(label="here are the actionables...")
btn_selfie2 = gr.Button("(disabled)发短信 ↗️")
out_selfife2 = gr.Textbox(label="(disabled) no message been sent, this is just a mockup confirmation...")
btn_selfie1.click(fn=selfie_response, inputs=[image_box], outputs=out_selfife1)
btn_selfie2.click(fn=send_SMS, inputs=out_selfife1, outputs=out_selfife2)
gr.Markdown("""
# ↗️ 与logo合拍 #
- screen capture (Win + shift + S)
- use MD editor below
[markdown editor](https://stackedit.io/app#)
""")
examples=[
os.path.join(os.path.dirname(__file__), "images/missionemail.png"),
],
with gr.Blocks() as demo:
gr.Markdown("## 自拍 ↗️ + 餐盘 🥷 ##")
gr.TabbedInterface([app_selfie, app1], ["➀ 点评我的自拍", "➁ 点评我的餐盘"])
demo.queue()
demo.launch() |