Deploy Machine Learning Models using Flask

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  • เผยแพร่เมื่อ 22 ธ.ค. 2024

ความคิดเห็น • 90

  • @Jay-oc7mc
    @Jay-oc7mc  3 ปีที่แล้ว +13

    If you're interested in learning how to get this Flask app onto the cloud I made another tutorial about how to deploy this to Heroku. Heroku is a PaaS which means you don't need to look after the underlying hardware which is pretty cool. You just push your code to their platform and now it will be hosted! th-cam.com/video/d1DKT2xk_dM/w-d-xo.html

  • @omrajgure8441
    @omrajgure8441 3 ปีที่แล้ว +9

    bro literally i was struggeling from 3-4 days and i am glad that you helped me out i was getting frustated as everyone here on YT not showing the model deployment from scratch they are only doing one thing and that is just giving brief about flask.
    Thank you soooooo much bro.....you gain a subscriber and you deserve millions of subscriber keep it up and nevere ever give up

  • @chandansarkar1618
    @chandansarkar1618 3 ปีที่แล้ว +13

    Hi, this video was really helpful for beginners. You avoided unnecessary complexities and tried to stick to the main topic. Very useful as a quick reference.

  • @keithkirui7008
    @keithkirui7008 2 ปีที่แล้ว +1

    Installing everything required was a real hassle, with CUDA, cuDNN, tensorflow installation, keras, pillow, Conda, etc, alot is different now too..took a few days .but it worked bro.🔥🔥🔥🔥🔥🔥Shukran

  • @samuelmwendwa4327
    @samuelmwendwa4327 8 หลายเดือนก่อน +1

    immediate sub. you just saved my final year project

  • @abdelmalekdjamaa7691
    @abdelmalekdjamaa7691 3 ปีที่แล้ว +5

    Nice vid ❤.
    I expect your channel to grow rapidly. Just keep the hard work.

  • @narangfamily7668
    @narangfamily7668 ปีที่แล้ว +1

    This is so useful! Thank you so much.

  • @tani.1772
    @tani.1772 7 หลายเดือนก่อน

    you saved my semester thank you

  • @ThuanNguyen-yy7pu
    @ThuanNguyen-yy7pu 3 ปีที่แล้ว

    Thank you so much sir, I'm so confused when deploying the model to the website until I watch your video

  • @ruhailmir
    @ruhailmir 3 หลายเดือนก่อน

    Great tutorial, BTW, you don't need to save the image and load it again. You can get the image bytes directly from the request file, which you can then use to build the image and feed it forward through the model.

  • @darkaxce
    @darkaxce 3 ปีที่แล้ว +2

    Thank you so much!!!! This video really helped me. I spent 3 weeks researching and testing too many codes, but they didn't work!

  • @yaso1034
    @yaso1034 ปีที่แล้ว +2

    Hello! How can I use my own trained Model Instead of just using the Pre-trained Resnet50? Thanks

  • @sudhakarm4573
    @sudhakarm4573 ปีที่แล้ว +1

    great and clear explanantion

  • @sudhakarm4573
    @sudhakarm4573 ปีที่แล้ว +1

    Graph execution error:
    transpose expects a vector of size 3. But input(1) is a vector of size 4

  • @akshitrawat-gv2bh
    @akshitrawat-gv2bh 7 หลายเดือนก่อน

    thankyou so much for making this video really worth watching 🤗🤗

  • @razzazz
    @razzazz 3 ปีที่แล้ว +1

    Thanks man! Very cool tutorial!

  • @adminsemarakanabatic2398
    @adminsemarakanabatic2398 3 ปีที่แล้ว +1

    Thanks man, Very useful Tutorial. Appreciate it !

  • @madhurverma1208
    @madhurverma1208 หลายเดือนก่อน

    How can we do it if our model need to access the webcam?

  • @tokaelsayed923
    @tokaelsayed923 5 หลายเดือนก่อน

    what if i want to load my model? how would be the process in the predict function??

  • @saisuryamuddalapuram6252
    @saisuryamuddalapuram6252 2 ปีที่แล้ว +1

    Can we integrate apache server in xampp and flask

  • @ittech7448
    @ittech7448 5 หลายเดือนก่อน

    I am just facing issue that I trained the model in colab and now I want to make the front end in flask through vs code but I am facing really issues and idea guys

  • @sudhakarm4573
    @sudhakarm4573 ปีที่แล้ว

    how to modify the vector input ..

  • @skewbinge6157
    @skewbinge6157 3 ปีที่แล้ว +1

    this was so helpful and time saving thank you

  • @Robay146
    @Robay146 ปีที่แล้ว

    Thank you so much for this!

  • @muhammadilhamrobani7042
    @muhammadilhamrobani7042 ปีที่แล้ว

    hello, i followed your tutorial but i'm facing a problem, the html doesn't update after prediction, even though my prediction was done successfully, please help me. thanks in advance

  • @MavsFit
    @MavsFit ปีที่แล้ว

    and if I want to show a image?

  • @lohithkumaar2876
    @lohithkumaar2876 2 ปีที่แล้ว +1

    @Jay
    Can you please give a tutorial for the same with PyTorch model.

  • @_TheMickey_
    @_TheMickey_ 2 ปีที่แล้ว +4

    I wish the source code was available to download

  • @thnapigok2307
    @thnapigok2307 2 ปีที่แล้ว +1

    Thank youu very much sirr..... Thank youuuuuuuuuu so much.... 🥰🥰😍😍

  • @anamee6534
    @anamee6534 ปีที่แล้ว

    can anyone tell me where is the issue my localhost is not working!! how am I gonna run this code in localhost?

  • @vikingdragon_yt7911
    @vikingdragon_yt7911 ปีที่แล้ว

    Can we permanently do it like i could just add my model once and when the link loads it upload images and predict

  • @AlonAvramson
    @AlonAvramson 3 ปีที่แล้ว +7

    Thank you so much for this tutorial! which IDE (Editor) are you using in this example? looks really cool.

    • @Jay-oc7mc
      @Jay-oc7mc  3 ปีที่แล้ว +8

      Hey, glad you found it helpful! Im using vscode is a pretty good editor and I use it mostly for front end stuff and python

  • @pandoratower375
    @pandoratower375 3 ปีที่แล้ว

    thank you. I find a log time
    good content

  • @leli7
    @leli7 3 ปีที่แล้ว +2

    would be nice if you gave a link to the code

  • @devanshpalliyath8107
    @devanshpalliyath8107 ปีที่แล้ว

    have you used any particular API over here?
    likes rest api?

  • @harishbhalaa3237
    @harishbhalaa3237 ปีที่แล้ว

    After deployment the model takes time to provide answer but your model provides the answer fastly. Efficiency of model or something else ???

  • @afzalpb3025
    @afzalpb3025 2 ปีที่แล้ว

    Hello brother am trained a model using Jupiter notebook and i want to present it the user just like your example APP. How do I call the trained model to the APP. Thank you

  • @aminetanouyat9643
    @aminetanouyat9643 2 ปีที่แล้ว

    Thank you! This is very useful

  • @siddardhamsd
    @siddardhamsd 2 ปีที่แล้ว

    Sir, please help me i am unable to import keras in my vs code i tried tensorflow also but i cant really import it in my app.py.
    also i created a venv file and dowloaded the tensorflow package in it but i cant import it my app.py.It shows Import "keras" could not be resolvedPylance reportMissingImports.

  • @DinanathLad
    @DinanathLad 3 ปีที่แล้ว +1

    Thank for tutoring. I have a question. I have a trained ML model from vertex AI. Can i use that instead of VGG16?

  • @siddardhamsd
    @siddardhamsd 3 ปีที่แล้ว

    How we can download tensorflow in vscode without getting errors and which version is suitable pls reply back. 😭

  • @muhalbarahusainhaqb5737
    @muhalbarahusainhaqb5737 3 ปีที่แล้ว

    save a lot hour in my life. thanks jay

  • @saipavangopisetty5937
    @saipavangopisetty5937 3 ปีที่แล้ว +1

    Hey jay, I need your help. I build a web page using flask, but whiled prediction its not showing result, plezzz help me jay

    • @anishmanandhar1203
      @anishmanandhar1203 3 ปีที่แล้ว

      same here

    • @shivarajhalageri2513
      @shivarajhalageri2513 3 ปีที่แล้ว

      @Saipavan Gopietty can you please guide me on how to build website for deploying ml models.

  • @lakshay_tyagi
    @lakshay_tyagi 3 ปีที่แล้ว

    Hi Jay
    I am working on my college project in which our grp made an ml model, so how can we pass that saved image to our ML model.
    Pls Suggest

  • @nischalgiri4590
    @nischalgiri4590 3 ปีที่แล้ว +1

    kindly please tell me the way that i can display that uploaded image inside index.html

    • @pratikpatil9448
      @pratikpatil9448 9 หลายเดือนก่อน

      Did you figure it out?

  • @mumusoh
    @mumusoh 3 ปีที่แล้ว

    Why keras module error?

  • @ronihossain7428
    @ronihossain7428 11 หลายเดือนก่อน

    Very good video.

  • @atacengiz7101
    @atacengiz7101 2 ปีที่แล้ว +4

    It is a useful tutorial. Short and touches main points. I wonder that can you share Github link for the project?
    Thank Jay!

    • @Jay-oc7mc
      @Jay-oc7mc  ปีที่แล้ว

      Just uploaded the code to Github: github.com/JayMehtaUK/image-classifier

  • @aravindreddy3972
    @aravindreddy3972 3 ปีที่แล้ว

    Great video🔥🔥

  • @Engr.SharoonHoney
    @Engr.SharoonHoney 2 หลายเดือนก่อน

    Very Helpful for students like me, who want keep learning and keep growing 💗,
    Also can you make tutorial on how to train deep learning tensorflow model and then to use it in flask App? If you do so, that would be very very grateful.

  • @somanihuduvey1173
    @somanihuduvey1173 2 ปีที่แล้ว

    Really helpful thanks sir

  • @ropashamu5780
    @ropashamu5780 2 ปีที่แล้ว +1

    Thanks Jay. Would you mind sharing the source code?

  • @alaeddinebensalah7019
    @alaeddinebensalah7019 2 ปีที่แล้ว +1

    can you give us the code file

    • @Jay-oc7mc
      @Jay-oc7mc  ปีที่แล้ว

      Just uploaded a copy of the code to github :) github.com/JayMehtaUK/image-classifier

  • @soufiane_elbk
    @soufiane_elbk ปีที่แล้ว

    Nice it's works with me

  • @kushoza43d24
    @kushoza43d24 10 หลายเดือนก่อน

    Thanks Helpful!!!

  • @code9419
    @code9419 2 ปีที่แล้ว

    Is it free to deploy ml Model pls reply

  • @gurjeet333
    @gurjeet333 3 ปีที่แล้ว

    hi, can you provide a link to the code

  • @samuelk9722
    @samuelk9722 3 ปีที่แล้ว +3

    thank you bro
    finally i got the solution for my problem.
    could u make a vid on deployment of (Detectron) Object detector model using Flask,
    which can give a video inference.

    • @Jay-oc7mc
      @Jay-oc7mc  3 ปีที่แล้ว

      Hey, I'm glad you found this useful! I have more videos planned in the future so I'll add this to my list :)

  • @pccomputer-on3un
    @pccomputer-on3un 2 ปีที่แล้ว

    Could you share the code please?

    • @Jay-oc7mc
      @Jay-oc7mc  ปีที่แล้ว

      Code can be found on Github now: github.com/JayMehtaUK/image-classifier

  • @bartomiejmierzwa763
    @bartomiejmierzwa763 2 ปีที่แล้ว

    Good content!

  • @aayushbhasin569
    @aayushbhasin569 3 ปีที่แล้ว +1

    hey! jay i watched ur video and actually loved it..i have trained my own model i am trying to deploy in the way u told me but when i choose the file in the web page and click on predict image it doesnt return anything and the web page reloads and the same page appears to choose file again.

  • @mahmudhasan3093
    @mahmudhasan3093 2 ปีที่แล้ว

    thank you sooo much

  • @Jay-oc7mc
    @Jay-oc7mc  ปีที่แล้ว

    Link to the codebase can be found here now: github.com/JayMehtaUK/image-classifier

  • @mohammedzain9876
    @mohammedzain9876 2 ปีที่แล้ว

    code?

    • @Jay-oc7mc
      @Jay-oc7mc  ปีที่แล้ว

      github.com/JayMehtaUK/image-classifier

  • @eyobmekonnen5474
    @eyobmekonnen5474 2 ปีที่แล้ว

    thanks for all but please give me the code

  • @pascals5408
    @pascals5408 2 ปีที่แล้ว

    Thank you

  • @flaskapp9885
    @flaskapp9885 3 ปีที่แล้ว +1

    subscribed :) make more ml production level videos

    • @Jay-oc7mc
      @Jay-oc7mc  3 ปีที่แล้ว

      Thanks! Will be making more videos soon :) Some normal software engineering videos and some ML ones are planned

    • @flaskapp9885
      @flaskapp9885 3 ปีที่แล้ว

      @@Jay-oc7mc okay bro

  • @superfreiheit1
    @superfreiheit1 2 หลายเดือนก่อน

    I still do not understand why we need flask

    • @nikhilsastry6631
      @nikhilsastry6631 2 หลายเดือนก่อน +1

      When you create something ... It should be easily accessible right? ... Flask creates a website that anyone can visit using (html,css,js etc) but flask uses python as backed ( with this any complex operation like ML model & prediction will be stored in some variables & send these variables to html which display the actual prediction of ML model you created)

    • @nikhilsastry6631
      @nikhilsastry6631 2 หลายเดือนก่อน +1

      For example, if there is no Web technology like flask or django or something ... There will be no chatgpt that you can access today from your phone ... It's like creating a Amusement park & only using for yourself

    • @nikhilsastry6631
      @nikhilsastry6631 2 หลายเดือนก่อน +1

      Data ingestion -> big data analysis -> ML & DL (nlp/cv) -> website -> devops -> cloud
      This is the pipeline
      So everything here happens on gpu & nothing is visible to normal person only developers know what happens ... So creating a website helps anyone to access the product that we are building

  • @birgirkarl
    @birgirkarl ปีที่แล้ว +1

    Python deployment should come with a Rage Warning

  • @krishshah3974
    @krishshah3974 2 ปีที่แล้ว

    gib code lol

  • @salahuddinabushaar7060
    @salahuddinabushaar7060 3 ปีที่แล้ว

    fake , where is the deployment ?

  • @woefaker665
    @woefaker665 2 ปีที่แล้ว

    for img_to_array and load_img use those imports instead
    from keras.utils.image_utils import img_to_array
    from keras.utils.image_utils import load_img
    and install pillow :
    pip install Pillow

  • @oprix
    @oprix 2 ปีที่แล้ว

    Sir want to connect with you. Can you provide LinkedIn id