fastapi post request : getting null instead of numpy array [duplicate]

Question

I am trying to run this code from a directory, C:\users\user1\plant_app\main.py Edit: I am able to start the server, but I can't get the numpy array.

from fastapi import FastAPI, File, UploadFile
import uvicorn
from io import BytesIO
import numpy as np
from PIL import Image


def read_image(data):
    return np.array(Image.open(BytesIO(data)))

app=FastAPI()
@app.get('/check')
async def check():
     return {'message':'hello world'}
@app.post('/predict')
async def predict(file: UploadFile = File(...)):
     image=read_image(await file.read())
     return image


if __name__=='__main__':
    uvicorn.run(app,host='localhost',port=8000)

I am getting this error.

PS C:\Users\user1\plant_app> python -u "c:\Users\user1\plant_app\main.py"
INFO:     Started server process [21740]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://localhost:8000 (Press CTRL+C to quit)
INFO:     127.0.0.1:58115 - "GET / HTTP/1.1" 404 Not Found

What am I doing wrong here?

It looks like your code only defines urls for /check and /predict. There is no / url. — John Gordon
– John Gordon, Commented Jun 25, 2023 at 21:22

Baktybek Baiserkeev · Accepted Answer · 2023-06-25 21:25:12Z

0

@app.get('/')
dуf root():
    return {'message':'FastAPI app'}

you should define / url

answered Jun 25, 2023 at 21:25

Baktybek Baiserkeev

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1 Comment

ihatecoding Over a year ago

That seems to start the server, but when I upload an image using docs I am getting null and {"detail":"Not Found"} with postman @Baktybek Baiserkeev

Kionling · Accepted Answer · 2023-06-25 21:25:39Z

0

@app.get('/')
async def root():
    return {'message': 'test'}

Try adding this because it seems like the GET route to '/' hasn't been declared.

answered Jun 25, 2023 at 21:25

Kionling

1

1 Comment

ihatecoding Over a year ago

That seems to start the server, but when I upload an image using docs I am getting null and {"detail":"Not Found"} with postman @Kionling

vyshnavi-pvr · Accepted Answer · 2023-06-25 21:57:03Z

0

We can access the API from http://localhost:8000/check or http://localhost:8000/predict. Or we can also use SwaggerUI which is integrated with FastAPI to interact with API.

answered Jun 25, 2023 at 21:57

vyshnavi-pvr

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Comments

Ehsan Hamzei · Accepted Answer · 2023-06-25 23:46:14Z

Try this. I think the problem is returning the image. You need to create a response with a type of image (here image/png as my test case was a png file). I wasn't sure of what output you wanted. So, I made three services: one returns the np array, the other returns the shape of the array, and finally the one returns the image itself. Check the following links for more info:

get bytes from upload: How to upload File in FastAPI, then to Amazon S3 and finally process it?
return np array in a service: How can I return a NumPy array using FastAPI?
return an image in a service: How do I return an image in fastAPI?

from fastapi import FastAPI, File, UploadFile
import uvicorn
from io import BytesIO
import numpy as np
from PIL import Image
from fastapi.responses import Response
import json

def read_image(data):
    return np.array(Image.open(BytesIO(data)))

app=FastAPI()

@app.get('/')
async def check():
     return {'message':'hello world'}


@app.post('/array')
async def predict_array(file: UploadFile = File(...)):
     content = await file.read()
     image = read_image(content)
     return json.dumps(image.tolist())


@app.post('/shape')
async def predict_shape(file: UploadFile = File(...)):
     content = await file.read()
     image = read_image(content)
     return {'shape': image.shape}

@app.post('/image')
async def return_image(file: UploadFile = File(...)):
     content = await file.read()
     return Response(content=content, media_type="image/png")

if __name__=='__main__':
    uvicorn.run(app,host='localhost', port=8000)

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