How To Deploy Machine Learning Models Using FastAPI-Deployment Of ML Models As API’s
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- เผยแพร่เมื่อ 18 พ.ย. 2020
- github :github.com/krishnaik06/FastAPI
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.Sebastian is the creator of FastAPI, an open-source Python web framework for building production-ready APIs quickly and easily: with autocompletion everywhere in your editor, automatic type checks, as little code as possible, automatic API documentation, and several other features.
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I stumbled upon your channel and I think it is one of the best things I have seen recently. Thank you for making things so simple to understand.
Thanks sir for all you do. I hope the next video on this series will be on deploying machine learning model on cloud platform usingfastapi
Excellent tutorial krish. Please continue incremental learning playlist
Very good explanation. Detail oriented and covering all necessary details. Great Video.
This tutorial helped me in right time. Thank you krish sir.
This is so clear. Great example.
Great sir Fast Api is much simple than Flask Frame work
Thank you for the session.
Question: how to work with pydantic when we need to handle exceptions? For example right now you are taking 4 features, but what if any feature is missing in the input?
learned a lot from you waiting for your next video
thank you, I always wanted to learn fastAPI. DREAM COME TRUE. Pls.... make ur nxt video soon, I want to learn how to connect API with front-end
In detailed explanation. Thank you sir.
done with my TensorFlow deep learning model for custom image classification , created fast API to test it in local, now time to deploy it in AWS
How to do that bro
What do you recommend if you also want to incorporate html and css? Python Eel?
Asynchronous server gateway interface
I saved my model in h5 format. Now I want load the model using "model=tf.keras.models.load_model(filepath.h5)" in FastAPI. But I am getting error while running API using conda virtual env. What should I do? @Krish
thanks for guidance..i'll apply your approach
What if I want to pass image in POST? what will be basmodel function then?
Can we use file up to predict if it's a bank note through the api
Thank you Krish for all your tutorials. Please, can someone help me. I made machine learning models in its own environment in anaconda and I want to deploy them using flask but I cant get either pickle or joblib to work in anaconda environment. Does anyone know what I'm doing wrong please?
Sir can you please make Probability for Machine Learning Playlist. I watch your Statistics for Machine Learning and it is very helpful to me but I can't find the playlist for Probability for Machine Learning. So Please Sir can you make playlist for Probability for Machine Learning.
Sir, is it okay to learn fast api even if I don't know django or flask , i only learned ML till now, please suggest,
Thank you krish sir
Sir can you please help us in knowing how to consume this api in other applications??
Krish, will Pickle file format works for Keras CNN's aswell??
Verry nice sir how to depoly cotton disease prediction model using fast api
Hi, i can't to check predict from browser without swagger... Can you help me?
good video just one question what to do when you have large json file with same data how to talk with API when you have a lot of client
how can we store the predicted values in database?can somebody please help with thiz?
Hi Krish. Nice video. One query, you created the model in Jupyter note book. How did you take that to FAST API. Do we need to make a pickle file and then use in in FAST API? Thanks
Yup. First save the model as a pickle file then u can use it in FastAPI by importing pickle
Krisk i have this error : RuntimeError: uvloop does not support Windows at the moment
How can i fix it ?
Thank you for this tutorial
Can we deploy two different models at a time?
Getting this error when giving command:uvicorn app:app --reload in anaconda prompt. Using vscode
Error:
classifier=pickle.load(pickle_in)
ModuleNotFoundError: No module named 'sklearn.svm._classes'
Same here
Have you solved it?
@@anaswahid8520 Pickle is causing error. I used joblib instead.
Save and Load the model with *joblib* :
filename = 'saved_joblib_model.sav'
loaded_model = joblib.load(filename)
Sir please continue uploading fastapi videos.
Very nice subject
Can someone tell me where is he loading the model , is he loading it on the local machine ?
Does it work the same for Mac os
Hey,
How do i use a data member of type datetime in BankNote basemodel class?
I have similar issues, do you have an idea how I can fastapi with type str in bank Chun_Customer model?
When will AI-IOT, Augumanted-Reality,Virtual-Reality iNeuron Community batch eagerly waiting
Hi sir, I have deployed yolov4 using darknet on my local machine. Now I want to deploy it using FastAPI. I just know what is what in FastAPI and just saw this video. Can you please suggest tips so that I can successfully deploy it?
have you get some info? I deploy yolor on Django, but I think the process runs slowly, I want to probe FAST API
very good session .greet like as boos ...
sir please make a video on model deployment by FastApi on jupyter notebook IDE.
What if the pickl file is large?
Really thanks!!
You are great sir
How to deploy this model as html. As u deploy model using flask.
Hi Sir you did great explain but you said at end of video you will continue to upload deploy deep learning model and and return HTML file continuation not posted till please make this playlist remaining video to finish
krish pls make next video in which we are using html as our front end for showing result instead of swagger api. pls make this vedio ASAP as i can then deploy it on cloud and can add link into my resume
This is highly required. PleASE MAKE A VIDEO
Good evening sir , it's not correct time to ask this question but it's important for me
Is SAP is good for career I mean for long term
If yes please give me reply sir
It is important for me
It's not worth it!
very very helpful
Can i create these api' sin vs code?
somehow the prediction part got an Internal Server Error. not sure if anyone else had the same issue.
same for me, I used other models such as SVC and it works.
I don't know what you mean by deploy, but I dont think deploy means running it on localhost.
Gate name? Please explain
Which ide is this which is of black colour?
Spyder
Very nice content but i think you should speak slowly for most easier understanding
Nice thnk you
Thank you
Please how can I go about deploying CSV files with categorical features. When I used the same workflow on my model,I am getting a value error: could not convert "France" to integer. I have done preprocessing with LabelEncoder and OneHotEncoder but still get same error. Please help out!
Asynchronous Server Gateway Interface
Hello,
I have a query, hoping for a reply .
I have aYOLOv3 Model, Deployed using Fast API but the issue I am getting is; when I call the model through API the inferencing detection accuracy decreasing.
for example :
If a image have 5 object of a class.
If I am inferencing without API- I could detect all the Objects.
If I am inferencing using API- I miss 1 or 2 objects
Could you please help with the possible reason and how to overcome.
Thankyou
Rama
Nice !
Krish sir, please make a video of *"Deploying Streamlit on GCloud"* because Github is not supporting files more than 100MB but my model.h5 file is more than 100MB. Please make a tutorial on it... 😐😐😐😐😐
Use GIT LFS for that.
Asynchronous service gateway interface...
when you uploading deployment of deep learning model using this fastapi
Cool
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Asynchronous server gateway interface