Notes and Information

Project requirements:

Important of RPA and AI (4mins) - slides preferred

Present your web application (4mins)

Use RPA to automatically run your app (4mins)

https://cloud.uipath.com/

https://mj-palm-tt.onrender.com/

github front back end for pneumonia: https://github.com/teohteiktoe/pneumonia

Recording

Monday

others

https://us02web.zoom.us/rec/share/qBti3hhlDMMnjtMyF_zExQUGxF1cBZs4q11JdgS252T_qgtzNsS9-bPDyCTm0eew.5RsjVmBfTN9HMYus

Passcode: !=6aS3bH

≈=====

Tuesday

   
35.180.250.207
97905202
ttteoh@ntu.edu.sg
pollev.com/teikteoh614

https://www.linkedin.com/in/teohteiktoe/

image : https://imagegpt-ttt-midjourney.onrender.com/

chat: https://chatgpt-ttt.onrender.com/

kidney: https://kidney-ttt.onrender.com/

https://www.kaggle.com/datasets/nazmul0087/ct-kidney-dataset-normal-cyst-tumor-and-stone

https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia (MUST DOWNLOAD, WILL BE USED IN CLASS)

https://www.kaggle.com/datasets/tourist55/alzheimers-dataset-4-class-of-images

https://www.kaggle.com/datasets/aryashah2k/breast-ultrasound-images-dataset?resource=download

https://www.kaggle.com/datasets/andrewmvd/medical-mnist

pip install replicate

import replicate

import os

os.environ["REPLICATE_API_TOKEN"]="787f515cb0624813736c11e7fefec66473394f02"

inputs = input("Enter : ")

r = replicate.run(

    "stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",

    input={

        "prompt": inputs,

}

)

print(r)

import requests

from PIL import Image

r = Image.open(requests.get(r[0], stream=True).raw)

r

=======================================

pip install openai

from openai import OpenAI

client = OpenAI(api_key="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")

# for cloud remove this and replace by the code below

#import os

#openai_api_key = os.getenv('OPENAI_API_KEY’)

#client = OpenAI(api_key=openai_api_key)

q = input("Please enter your question: ")

r = client.chat.completions.create(

    model="gpt-3.5-turbo",

    messages=[{"role": "user", "content": q}],

)

print(r.choices[0].message.content)

====================