Prediction feature not responding

[Khadijaz8]

Brother I have configure it's backend and frontend but whenever I try it's prediction feature it always shows failed to fetch prediction please try again later. On terminal it shows error on any on tools of requirements.txt if I solve issues with one tool it shows issues of other tool especially on scikit-learn, numpy. Kindly tell me how to configure it?

[abdul-wahab619]

1. For prediction take a look into this repository resource "https://github.com/abdul-wahab619/Med-Lab.git",

• models after training and getting.pkl files then I attached to my project.

2. Issues happens only when the version of python and the package we need to install is incompatible, so go through according to your needs.

3. And another way is to install all the packages ,like directory where you installed python go there and open the terminal over there then install the requirements.txt

Hope so you will resolve this issue

Thanks for mentioning!...

[Khadijaz8]

I think may be you have done a mistake while writting the requirements.txt file look all of the tools are downloaded except of these tools pip install numpy==1.19.5
pip install grpcio==1.38.0
pip install h5py==2.10.0
pip install joblib==1.0.1
pip install MarkupSafe==2.0.1
pip install scikit-learn==0.21.3
pip install scipy==1.4.1
pip install tensorflow==2.1.0

it shows error that these distributions does not exist. Means I have these tools in updated version but your require versions are not dowloading because it shows that this version does not exist
eg: pip install numpy==1.19.5 --only-binary=:all:
ERROR: Could not find a version that satisfies the requirement numpy==1.19.5 (from versions: 1.21.3, 1.21.4, 1.21.5, 1.21.6, 1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0, 1.23.1, 1.23.2, 1.23.3, 1.23.4, 1.23.5, 1.24.0, 1.24.1, 1.24.2, 1.24.3, 1.24.4, 1.25.0, 1.25.1, 1.25.2, 1.26.0, 1.26.1, 1.26.2, 1.26.3, 1.26.4, 2.0.0, 2.0.1, 2.0.2, 2.1.0rc1, 2.1.0, 2.1.1, 2.1.2)
ERROR: No matching distribution found for numpy==1.19.5

PS D:\AI-MedLab\backend> pip install scikit-learn==0.21.3 --only-binary=:all:
ERROR: Could not find a version that satisfies the requirement scikit-learn==0.21.3 (from versions: 1.0.2, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.2.0rc1, 1.2.0, 1.2.1, 1.2.2, 1.3.0rc1,
ERROR: No matching distribution found for scikit-learn==0.21.3
It would be great if you help to sort out it

[ayeshabarlas]

Same issue occurring on my side as well, if you have solution kindly drop it!

[pascalezeke]

To get the health predict feature to work, i installed Python version 3.9.13, created a virtual environment with that python version in backend folder, installed the requirements.txt then i changed setDescription(response.data.data.dis_des);
setPrecaution(response.data.data.my_precautions);
setMedications(response.data.data.medications);
setWorkout(response.data.data.workout);
setDiets(response.data.data.rec_diet);
setDisease(response.data.data.predicted_disease); in Symptomchk.jsx file to setDescription(response.data.description);
setPrecaution(response.data.precautions);
setMedications(response.data.medications);
setWorkout(response.data.workout_suggestions);
setDiets(response.data.recommended_diet);
setDisease(response.data.predicted_disease); and finally i changed res.json({ data: prediction }); in healthPredict.js to res.json(prediction); Remember to update your python virtual environment path in healthPredict.js too. this is how mine looks like, const PYTHON_VENV_PATH = "C:/Users/pasca/AI-MedLab/backend/medlabsci-env/Scripts/python.exe";........const pythonProcess = spawn(PYTHON_VENV_PATH, [
pythonScriptPathForSymptoms,
"--loads",
symptomsModel,
JSON.stringify({ data }),
]);