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Build a Generative AI Micro SaaS App with Python and Streamlit DevCourseWeb

Torrent Info
Category Other
Added Thursday 11th January 2024 04:47:20 PM (2 years ago)
Size2.6 GB
Peers9 Peers (7 Seeders and 2 leechers) update
Downloaded1433 times
UploaderFreeCourseWeb  Thank You  (0) Report Torrent 00/0
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Tags English
Seeders7
Leechers2
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Torrent Files (58)
FilenameSize
Get Bonus Downloads Here.url182 bytes
1. Introduction.mp419.6 MB
1.1 Discord hanout.html88 bytes
2. Course Overview.mp442.5 MB
2.1 discord.html88 bytes
3. Advanced Project Showcase Power of Streamlit with AI for a SaaS.mp448.6 MB
4. Introduction to the Course Project Automated Tenant Management Portal.mp484.5 MB
1. Why Streamlit.mp436.4 MB
2. Setting up your development environment.mp471.7 MB
3. Interactivity in Streamlit Widgets, Layout, Session State.mp456.1 MB
3.1 Code.html105 bytes
4. Displaying Data Tables, Charts, and Dynamic Content.mp462.8 MB
4.1 Code.html105 bytes
5. Building a ChatGPT-like clone with Streamlit and OpenAI.mp476.8 MB
1. App showcase, demo and features walkthrough.mp487.7 MB
1.1 CODE.html95 bytes
1.2 Full code.html95 bytes
2. Local code and environment setup.mp425.6 MB
3. Stripe integration.mp436.8 MB
4. MongoDB user database setup.mp459.1 MB
5. Email verification server with FastAPI Part 1.mp4240.2 MB
5.1 Code.html99 bytes
6. Email verification local debug with FastAPI Part 2.mp4111.9 MB
6.1 Code.html99 bytes
7. Deploying to Cloud (Railway.io or Streamlit Cloud).mp448.6 MB
8. Customize your Domain Name!.mp424.5 MB
9. Course Check-in! Midway Point..mp47.6 MB
9.1 Discord hangout.html88 bytes
1. Intro and Preamble to Course Project.mp421.0 MB
1.1 All Code.html97 bytes
10. Deploy to Railway Part 2 (Poppler and Tesseract).mp427.6 MB
2. Technologies involved and AWS S3 setup.mp414.3 MB
3. AWS S3 Secret Keys Setup.mp419.5 MB
4. More technology setup Google Tesseract, Poppler, Conda env.mp461.2 MB
4.1 Poppler download.html134 bytes
4.2 Tesseract Google Download.html106 bytes
5. Explaining Utility FunctionsMethod Part 1.mp461.2 MB
6. Explaining Utility FunctionsMethod (Mongo) Part 2.mp448.9 MB
7. Explaining Utility FunctionsMethod Part 3.mp4100.9 MB
8. Coding the Main Tenant Application Portal.mp493.4 MB
9. Deploy to Railway Part 1 (Review).mp429.5 MB
1. Intro to Management Portal and AI document analysis.mp495.4 MB
1.1 EmbedChain.html101 bytes
1.2 Source Code.html98 bytes
2. Technology setup Conda, AWS S3, Stripe, OpenAI, MongoDB.mp427.6 MB
3. Utility methods and S3 Data Manipulation.mp466.5 MB
4. How to create the EmbedChain Chatbot.mp4105.4 MB
5. Analyzing Tenant Documents with OpenAI API.mp4150.7 MB
6. Map Reduce AI Analysis Summary of Summaries.mp4114.2 MB
7. Chatbot with Tenants using EmbedChain.mp4106.7 MB
1. Introduction to Landing Pages, Painpoint Marketing and Bootstrapping.mp483.0 MB
2. Landing Pages with Carrd.mp464.6 MB
2.1 Carrd Templates.html101 bytes
3. Email Marketing with EmailOctupus.mp424.4 MB
4. Create a Landing Page in 5 seconds with Mixo.io.mp441.7 MB
5. Marketing, Measuring, Bootstrapping.mp492.9 MB
6. Examples Reddit Bootstrapping, Email Campaigns.mp430.7 MB
Bonus Resources.txt386 bytes
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