Upload 9 files

.gitattributes

@@ -0,0 +1 @@
+BrainTumor10Epochs.h5 filter=lfs diff=lfs merge=lfs -text

BrainTumor10Epochs.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:236b657176a4c29999932cfa9a2f34efcb180c937d1e5cef07d959c7f661ca22
+size 2174240

README.md

@@ -0,0 +1,13 @@
+---
+title: Brain Tumor Classification
+emoji: 🏢
+colorFrom: indigo
+colorTo: red
+sdk: gradio
+sdk_version: 3.40.1
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,45 @@
+from PIL import Image
+import cv2
+import numpy as np
+
+import tensorflow as tf
+from keras.models import load_model
+
+import gradio as gr
+
+model =load_model('BrainTumor10Epochs.h5')
+
+def getResult(inp):
+    
+    inp=np.array(inp)
+    input_img = np.expand_dims(inp, axis=0)
+    result=np.max(model.predict(input_img))
+
+    if result==0:
+        return "No Brain Tumor"
+    elif result==1:
+        
+        return "Yes Brain Tumor"
+    
+
+
+examples = [
+    ["example_images/No_1.jpg"],
+    ["example_images/No_2.jpg"],
+    ["example_images/No_3.jpg"],
+    ["example_images/Yes_2.jpg"],
+    ["example_images/Yes_3.jpg"]
+]
+
+
+iface = gr.Interface(
+    fn=getResult, 
+    inputs=gr.Image(shape=(64, 64),label="MRI Image"),
+    outputs=gr.Label(num_top_classes=2,label="Output"),
+    title="Brain Tumor Classification",
+    description="Upload the MRI Image of the Brain and it will tell whether it has a Brain Tumor or not",
+    examples=examples,
+    theme=gr.themes.Default(primary_hue="teal", secondary_hue="cyan"), allow_flagging=False
+)
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

@@ -0,0 +1,6 @@
+opencv-python
+numpy
+Pillow
+tensorflow
+keras
+gradio