| import uvicorn |
| from fastapi import FastAPI, File, UploadFile |
| from starlette.responses import RedirectResponse |
|
|
| from application.components import predict, read_imagefile |
| from application.schema import Symptom |
| from application.components.prediction import symptom_check |
|
|
| app_desc = """<h2>Use this 🦠 API by uploading any image with `predict/image`</h2> |
| <h4> 🦠 Brain Tumor Prediction API - it is just for research learning</h4> |
| <br>by Olusegun Odewole - AIOT lab""" |
|
|
| app = FastAPI(title=' 🦠 Brain Tumor Prediction API', description=app_desc) |
|
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|
|
| @app.get("/", include_in_schema=False) |
| async def index(): |
| return RedirectResponse(url="/docs") |
|
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|
|
| @app.post("/predict/image") |
| async def predict_api(file: UploadFile = File(...)): |
| extension = file.filename.split(".")[-1] in ("jpg", "jpeg", "png") |
| if not extension: |
| return "Image must be jpg or png format!" |
| image = read_imagefile(await file.read()) |
| prediction = predict(image) |
|
|
| return prediction |
|
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|
|
| if __name__ == "__main__": |
| uvicorn.run(app, debug=True) |
|
|
