00:00Hi friends, are you bored of manually researching YouTube topics or paying for expensive tools every month?
00:05So, in this video, I will teach you all about how to make a YouTube research tool.
00:09and its own automated script generator using Python, StreamWit, and Gemini API for free.
00:15You don't need to be good at coding, just copy and paste, and this tool can be used directly on your laptop.
00:20you guys.
00:21Come on, let's just make it!
00:30The first step, let's take the key, friends.
00:33Go to istudio.google.com, click the lock icon in the bottom left corner, then create a new project to get the Gemini API.
00:40the key.
00:41After that, you can save it in notepad first.
00:44And then, you go to console.cloud.google.com, search for YouTube data API V3, then enable it.
00:51Remember, friends, when creating new API key credentials, make sure you have selected the public data option.
00:57yes.
00:57The goal is that in the future you will no longer need to go through this complicated login process.
01:05So, before assembling this application, there is one mandatory requirement, friends.
01:09Your laptop must have the Python programming language installed.
01:13Hey, why don't you just use the regular HTML format?
01:16Because this application requires Python to run the logic behind the scenes.
01:21Such as calling YouTube API key, processing pandas data, and sending requests to its Gemini API.
01:26If you haven't installed it yet, just wait.
01:28The tutorial for installing Python is really easy, and there are loads of them on YouTube.
01:32And you can follow that first, okay?
01:34If it's done, let's just create a new folder on the desktop.
01:37And you can name it YTResearch App.
01:42OK, for the next step, open the folder.
01:46Click on this address bar, and type CMD, then press Enter.
01:50Well, in this black window, we will first install the free library.
01:54Type commands like this, pip install, streamlit, google jenai, google API, python, client, pandas.
02:01Then press Enter.
02:03Don't worry, friends, all of these libraries are graphical and lightweight.
02:06So, even a low-spec laptop will run it smoothly.
02:11Now it's time for us to assemble.
02:13Open notepad, and paste all the code that I have provided in the description.
02:17This code uses the latest Gemini 3.6 Flash model, which is stable and of course fast, friends.
02:23So that it will be practical later and you won't have to type it over and over again.
02:26So, enter your API key value into the value parameter in this sidebar structure.
02:32And after that, click Save As.
02:34Change the file type to O-Files, and name it app.py.
02:37After that, open CMD again.
02:39Then type streamlit run app.py, and Enter.
02:43Boom! Your browser will automatically open.
02:46Once we enter the top, this piku immediately takes the top 15 videos and submits them to Gemini.
02:51And you will immediately get a market opportunity analysis, 3 title options that have the potential for high CTR,
02:57and of course, the video script framework is between 5 and 8 minutes long.
03:01So the question is, is it safe for monetization?
03:04It's very safe, friends.
03:05Tulim uses Google's official API and only takes public data.
03:09So there are no activities that are scrapping or illegal.
03:13The main key is to use this AI as an assistant only.
03:16You still have to work on this script again.
03:19Use your own style of language.
03:20And also make sure that you record or fill in the voice creatively.
03:25So that the educational value is clear, and can pass YouTube monetization.
03:28Lastly, be careful.
03:30Don't put or show your API key carelessly when recording the screen.
03:35All the complete codes are in the description.
03:37If you like AI experiments like this,
03:40Don't forget to like, share, and of course subscribe to this channel.
03:43Please write in the comments column if there is an error.
03:45I will try to help answer later.
03:47See you in the next video.
Komentar