Added app.py file

app.py

@@ -0,0 +1,36 @@
+from fastapi import FastAPI, UploadFile, File
+from fastapi.responses import JSONResponse
+from tensorflow.keras.preprocessing import image
+import keras
+import numpy as np
+
+app = FastAPI()
+
+model = keras.models.load_model("Detection_Covid_19.h5")
+
+@app.post("/predict")
+async def predict(file: UploadFile = File(...)):
+    try:
+        # Read the file into bytes
+        img_bytes = await file.read()
+        
+        # Store the image in a temporary path
+        img_path = "./uploaded_images/test.jpg"
+        with open(img_path, "wb") as img:
+            img.write(img_bytes)
+        
+        # Preprocess the image before feeding it to the model
+        img = image.load_img(img_path, target_size=(224, 224))
+        img = image.img_to_array(img)
+        img = np.expand_dims(img, axis=0)
+        img = img / 255.0  # Normalize the pixel values
+
+        pred = model.predict(img)
+        prediction = "1" if pred[0][0] <= 0.5 else "0"
+        
+        return {"prediction": prediction}
+    
+    except Exception as e:
+        return JSONResponse(content={"error": str(e)}, status_code=500)
+
+