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In this video, we're going to discuss how to create a Stock Trend Prediction Web Application in Python. Here we will use Streamlit, an open-source Python library, that makes it easy to build beautiful custom web apps for Machine Learning and Data Science.
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Welcome to part 3 of the web development with Django and Python tutorial series. In this tutorial, we're goign to be checking out the admin functionality that comes with Django.
Text-based tutorial: https://pythonprogramming.net/....admin-apps-django-tu
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#django #web-development #python
In this video you will learn to create a Langchain App to chat with multiple PDF files using the ChatGPT API and Huggingface Language Models.
Welcome to our comprehensive step-by-step tutorial on building a powerful chatbot that allows you to ask questions about your multiple PDFs using LangChain and ChatGPT API. In this project-based video tutorial, we will guide you through the process of harnessing the capabilities of LangChain, a cutting-edge framework for developing language model-powered applications.
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Powered by ChatGPT, an advanced AI language model, our chatbot implementation enables you to interact with your PDF documents in a whole new way. We will also explore the utilization of Huggingface language models to enhance the chatbot's performance.
Throughout this Python tutorial, you'll learn how to integrate LangChain into your application, leveraging its data-awareness and agentic features, allowing your language model to tap into various data sources and interact with its environment seamlessly.
Key Topics Covered:
- Introduction to LangChain and its principles of data awareness and agency
- Exploring the capabilities of ChatGPT API and its potential for artificial intelligence applications
- Step-by-step walkthrough on setting up the LangChain framework in Python
- Integration of Huggingface language models for enhanced chatbot functionality
- Building a project-based chatbot application that answers questions based on your PDFs
- Optimizing your chatbot for efficient and accurate responses
- Best practices for leveraging open-source GPT models, including GPT-3.5 and GPT-4
- Unlocking the potential of ChatGPT and LangChain to create innovative applications
Whether you're a developer, AI enthusiast, or simply curious about the world of artificial intelligence, this tutorial is perfect for you. Join us on this exciting journey to develop your very own PDF-powered chatbot using LangChain, ChatGPT API, and the power of Python.
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TIMESTAMPS
0:00 Intro
1:31 Setup
3:26 Create GUI
8:50 Add your API Keys
11:46 How this works (Diagram)
16:41 Handle process button
19:43 Extract text from PDFs
24:33 Split text into Chunks
29:26 Embedings
32:30 OpenAI Embeddings
36:24 Instructor Embeddings
40:57 Create ConversationChain
46:18 Make conversation persistent
50:14 HTML templates
55:04 Display Chat History
1:02:05 Free Huggingface LLM
1:06:10 Conclusion
Keywords:
#ChatGPT #streamlit #langchain #OpenAI
This tutorial demonstrates how to build and deploy an android app to your smartphone. The app was programmed with python and the kivy framework. Buildozer, the android debug bridge and the ubuntu subsystem were used to build, deploy and debug the android app. This tutorial works also perfectly fine for Ubuntu.
If anything is unclear, feel free to ask and write a comment.
▬ Links ► ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Code of this tutorial:
https://github.com/denczo/kivy_examples
ADB for Windows:
https://dl.google.com/android/....repository/platform-
▬ Commands ► ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Download project
git clone https://github.com/denczo/kivy_examples
► Install buildozer:
git clone https://github.com/kivy/buildozer.git
cd buildozer
sudo python3 setup.py install
► Required libraries and tools:
sudo apt-get update
sudo apt-get install openjdk-8-jdk
sudo apt-get install unzip
sudo apt install python3 python3-pip ipython3
sudo apt install cython
sudo apt-get install autoconf
sudo apt install build-essential libltdl-dev libffi-dev libssl-dev python-dev
sudo pip3 install --upgrade cython
sudo apt-get install zip
► Build & Deployment
buildozer android debug deploy run logcat
adb -s DEVICE_ID logcat *:S python:D
adb -s DEVICE_ID install name.apk
► Connection to phone
adb devices
cmd:
adb tcpip 5555
wsl2 (ubuntu subsystem):
adb connect YOUR_IP:5555
▬ Chapters ► ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► 0:00 - Intro
► 0:27 - Install Ubuntu Subsystem
► 2:00 - Install Buildozer
► 4:44 - Buildozer Configuration (Buildozer.spec)
► 10:44 - Build .apk with Buildozer
► 13:50 - Connect Android Phone to PC
► 18:25 - Deploy .apk to Android Phone
► 19:27 - Debug App on Android Phone via terminal
► 21:50 - Outro
▬ Programming ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Pycharm Community Edition
► Python 3.8.1
► Kivy 2.0
▬ Editing ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Sony Vegas Pro Edit 14
► OBS
► t.bone SC400
► Cheap Webcam
Welcome to this Streamlit Python tutorial, where we will dive into creating an interactive machine-learning web application using the Streamlit framework! In this comprehensive project-based course, you'll learn how to build a machine-learning dashboard to predict whether a cell cluster is benign or malignant using Python and Streamlit. This tutorial is perfect for beginners, experienced developers, and data scientists looking to learn how to create powerful machine-learning projects that integrate with web applications.
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🚀 What you'll learn in this tutorial:
How to create a Streamlit dashboard
Training a logistic regression model for machine learning
Visualizing data using Plotly
Displaying predictions based on user input
Creating an AI full-stack app using Python
In this video tutorial, we train a logistic regression model using machine learning in Python. We will be using a dataset to predict whether a cell cluster is benign or malignant. Once our model is ready, we will integrate it into a Streamlit application that runs in the web browser. You'll see how easy it is to create an interactive dashboard using Streamlit and Python!
Next, we will visualize our data using Plotly to create informative and interactive charts. These visualizations will help users understand the predictions made by our machine-learning model. We'll then display the predictions based on the user's input, making our dashboard not only visually appealing but also highly functional.
Throughout the tutorial, we'll explore various techniques and best practices used by experts like Nicholas Renotte and Patrick Loeber. This Streamlit tutorial is an excellent resource for data science dashboard projects and a great way to learn how to create a machine learning app.
By the end of this course, you will have created an AI full-stack app using Python, Streamlit, and machine learning. You'll be ready to tackle your own machine-learning projects and create amazing data science dashboards!
Don't forget to like, comment, and subscribe to stay updated with more tutorials and projects in machine learning, data science, and web app development!
⏰ Timestamps
0:00 Intro
2:56 Download the data
6:23 Project setup
8:21 Clean the data
14:00 Train the model
21:06 Test the model
26:39 Export the model and scaler
32:33 Create the Streamlit app
38:48 Create the layout
44:18 Add the sidebar inputs
58:52 Create the chart
1:17:22 Scale the values for chart
1:25:30 Display the predictions
1:39:08 Add custom CSS
1:52:00 Deploy your app
🎯 Keywords: Streamlit Python, Streamlit Tutorial, Streamlit Dashboard, Machine Learning Python, Machine Learning App Tutorial, Python App, Machine Learning Projects, Machine Learning Projects for Beginners, Nicholas Renotte, Patrick Loeber, AI App, AI Full-Stack App, Data Science Dashboard, Data Science Dashboard Projects
#python #streamlit #MachineLearning #DataScience
Lecture de l'APOCALYPSE de Jean chapitre 1 ( avec textes ).
Version de la Bible audio utilisée : Louis Segond 1910.
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Que la Parole de Dieu renouvelle ton intelligence et transforme ta vie en Jésus-Christ. ✝︎❤️
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We hope you enjoyed HEARING the KJV Bible read by Alexander Scourby. If you noticed any GLITCHES in this reading, we invite you to try our NEWEST Playlist link below. It’s EXACTLY THE SAME, less the glitches. Just tap the link below, SAVE IT for instant ACCESS, and SHARE it with OTHERS.
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Experience the POWER of TRUTH in the King James Bible in the “HEARING of God’s Word read by Alexander Scourby. Click the Playlist link below to HEAR the Entire KJV Bible with AUDIO and TEXT on YouTube, read by the Greatest Voice Ever Recorded, according to the Chicago Tribune. Save it for instant access anytime and anywhere 24/7, and share it with others.
KJV Bible Verses for your SI (Spiritual Intelligence) an internal Truth Algorithm for the Spirit.
Thy word is a lamp unto my feet and a light unto my path. Psalm 119:105
Faith Cometh by Hearing and hearing by the Word of God. Romans 10:17
Sanctify them through thy truth: thy word is truth. John 17:17
And ye shall know the truth, and the truth shall make you free. John 8:32
God is a Spirit: and they that worship him must worship him in spirit and in truth. John 4:24
Howbeit when he, the Spirit of truth, is come, he will guide you into all truth: John 16:13
Blessed is he that readeth, and they that hear the words of this prophecy, and keep those things which are written therein: for the time is at hand.” Revelation 1:3
Inculcate your Spirit with the above truth Bible verses, as well as your other favorites, and ask God to reveal all TRUTH to you, as promised above.
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Grace be with you, mercy, and peace, from God the Father, and from the Lord Jesus Christ, in truth and love. 2 John 1:3
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Frankenstein's creature finds himself caught in an all-out, centuries-old war between two immortal clans.
Starring: Aaron Eckhart, Bill Nighy & Miranda Otto
Director: Stuart Beattie
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Blood Money is a gritty crime thriller about a global war for power, money, and blood. When a Colombian drug cartel forms a dangerous alliance with the Hong Kong Triad, an unprecedented international operation begins: the smuggling of two tons of cocaine destined for Australia and China. It's a deal that could shift the balance of power in the criminal underworld—and ruin the lives of entire countries.
Colombian drug cartel forms dangerous alliance with Hong Kong Triad! | Action Crime Full Movie
At the head of the operation is a mercenary known in criminal circles as the hottest and most deadly hitman on the planet. A cold-blooded professional who works only for the big score and never leaves witnesses. For him, this is just another contract. For everyone else, it's the beginning of chaos.
Name: Blood Money
Director: Gregory McQualter
Cast: Toby Barron, Alex Castro, Jeronimo Garcia, Nelson Grande
Genres: Action, Thriller
Studio: Ambrosia Pictures
🎬 Welcome to the "Entertainment Residence" channel! 🎬
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When an elite agent’s covert mission is blown wide open, Jason Statham takes the lead as operative Jack Mason, forced to race across global hotzones to stop a mysterious criminal syndicate.
High-octane chases, brutal hand-to-hand fights, and double-crosses fill every minute as Mason uncovers a plot that threatens millions. From neon-lit city streets to secret bunkers, he’ll risk everything to bring justice.
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Have you ever wanted to make your own app but found coding too hard? Well, you're in luck! Watch this video to learn how to do it easily.
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00:00 Intro
00:41 Get the Code from ChatGPT
01:17 Check the Generated Code
01:53 Improve the looks of ChatGPT
03:00 Save Code to the Computer
04:15 upload the app online
05:18 Convert the web app into mobile app
If you've ever dreamed of creating your own app but felt intimidated by the technical challenges, ChatGPT is the perfect partner for you. This revolutionary AI tool can help you build fully functional apps in minutes, even without any coding experience.
With ChatGPT, your app-building journey is easier and more exciting than ever before. Simply describe your app idea to ChatGPT, and it will generate the necessary code for you to bring it to life. You can then customize the app to your liking, test it thoroughly, and deploy it to your target audience.
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