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import PIL.Image |
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import gradio as gr |
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import base64 |
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import time |
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import os |
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import google.generativeai as genai |
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import requests |
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import pathlib |
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txt_model = genai.GenerativeModel('gemini-pro') |
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vis_model = genai.GenerativeModel('gemini-pro-vision') |
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txt_prompt_1 = """ |
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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。 |
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** 示例食物-营养成分表 |
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| 序号 | 食物 | 主要营养成分 | 推荐摄入量 | |
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|-----|--------------|------------------------------------------------------------------------------------------|--------------------------------------| |
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""" |
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txt_display_1 = 'content of the letter: ' |
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txt_prompt_selfie = """ |
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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。 |
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** 人物评语 |
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| 序号 | 特征 | 评语 |
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|-----|--------------|----------------------------------------------------------------------------- |
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** 背景评语 |
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| 序号 | 特征 | 评语 |
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|-----|--------------|----------------------------------------------------------------------------- |
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""" |
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txt_display_selfie = '--- ' |
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import os |
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GOOGLE_API_KEY=os.getenv('GOOGLE_API_KEY') |
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genai.configure(api_key=GOOGLE_API_KEY) |
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SMS_URL =os.getenv('SMS_URL') |
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SMS_TOK =os.getenv('SMS_TOK') |
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sms_text ="..." |
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def image_to_base64(image_path): |
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with open(image_path, 'rb') as img: |
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encoded_string = base64.b64encode(img.read()) |
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return encoded_string.decode('utf-8') |
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def selfie_response(img): |
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if not img: |
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response = txt_model.generate_content(txt_prompt_selfie) |
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return response |
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else: |
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img = PIL.Image.open(img) |
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response = vis_model.generate_content([txt_prompt_selfie,img]) |
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return response.text |
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def app1_response(img): |
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if not img: |
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response = txt_model.generate_content(txt_prompt_1) |
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return response |
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else: |
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img = PIL.Image.open(img) |
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response = vis_model.generate_content([txt_prompt_1,img]) |
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return response.text |
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def send_SMS(resp_text): |
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url = SMS_URL |
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headers = { |
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"Authorization": SMS_TOK, |
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"Content-Type": "application/json" |
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} |
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data = { |
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"from": "12085686834", |
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"to": ["18587331029"], |
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"body": resp_text |
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} |
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response = requests.post(url, json=data, headers=headers) |
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return response.text |
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return "....." |
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with gr.Blocks() as app1: |
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with gr.Column(): |
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gr.Markdown("## 🥷 点评餐盘 ##") |
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gr.Markdown("```for xxxxxx ✉ and/or xxx ⌦, include photo here...```") |
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image_box = gr.Image(label="✂ 对象:餐盘", type="filepath") |
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btn1 = gr.Button("点评这盘菜 ☑") |
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out1 = gr.Textbox(label="here are the actionables...") |
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btn2 = gr.Button("(disabled)发短信 ↗️") |
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out2 = gr.Textbox(label="(disabled) no message been sent, this is just a mockup confirmation...") |
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btn1.click(fn=app1_response, inputs=[image_box], outputs=out1) |
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btn2.click(fn=send_SMS, inputs=out1, outputs=out2) |
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gr.Markdown(""" |
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# 🥷 Summerize eMail & Make a Plan # |
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[demo video](https://youtu.be/lJ4jIAEVRNY) |
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""") |
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examples=[ |
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os.path.join(os.path.dirname(__file__), "images/missionemail.png"), |
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], |
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with gr.Blocks() as app_selfie: |
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with gr.Column(): |
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gr.Markdown("## ↗️ 点评自拍(请站在海报墙前面拍) ##") |
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gr.Markdown("```xxxx ⌦, paste screenshot here...```") |
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image_box = gr.Image(label="✂ 乐意保墙,与LOGO合拍", type="filepath") |
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btn_selfie1 = gr.Button("生成趣味点评 ☑") |
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out_selfife1 = gr.Textbox(label="here are the actionables...") |
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btn_selfie2 = gr.Button("(disabled)发短信 ↗️") |
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out_selfife2 = gr.Textbox(label="(disabled) no message been sent, this is just a mockup confirmation...") |
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btn_selfie1.click(fn=selfie_response, inputs=[image_box], outputs=out_selfife1) |
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btn_selfie2.click(fn=send_SMS, inputs=out_selfife1, outputs=out_selfife2) |
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gr.Markdown(""" |
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# ↗️ 与logo合拍 # |
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- screen capture (Win + shift + S) |
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- use MD editor below |
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[markdown editor](https://stackedit.io/app#) |
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""") |
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examples=[ |
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os.path.join(os.path.dirname(__file__), "images/missionemail.png"), |
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], |
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with gr.Blocks() as demo: |
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gr.Markdown("## 自拍 ↗️ + 餐盘 🥷 ##") |
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gr.TabbedInterface([app_selfie, app1], ["➀ 点评我的自拍", "➁ 点评我的餐盘"]) |
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demo.queue() |
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demo.launch() |