Update app.py

app.py

@@ -1,38 +1,13 @@
-# This Python 3 environment comes with many helpful analytics libraries installed
-# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
-# For example, here's several helpful packages to load
-
-import numpy as np # linear algebra
-import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
-
-# Input data files are available in the read-only "../input/" directory
-# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory
-
-import os
-for dirname, _, filenames in os.walk('/kaggle/input'):
-    for filename in filenames:
-        print(os.path.join(dirname, filename))
-
-# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using "Save & Run All" 
-# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session
-
-
-RUN pip install -Uqq fastai
 import gradio as gr
-from fastai.vision.all import*
-categories = ('Healthy Cell', 'Leukemia', 'Sickle Cell', 'Thalassemia')
-def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
 
 # Assuming no shape needs to be specified directly in the constructor
 image = gr.Image()
 label = gr.Label()
 examples = [
-    'Leukemia Cells/allbloodsmear.jpg', 
-    'Cells of Sickle/650x450-Sickle-Cell-Trait.jpg',
-    'Cells of Sickle/Sickle Cell Anemia smear 40x.jpg',
-    'Healthy Cells/normalbloodsmear.jpg'
+    '/kaggle/input/leukemia-cells/allbloodsmear.jpg', 
+    '/kaggle/input/cells-of-sickle/650x450-Sickle-Cell-Trait.jpg',
+    '/kaggle/input/cells-of-sickle/Sickle Cell Anemia smear 40x.jpg',
+    '/kaggle/input/healthy-cells/normalbloodsmear.jpg'
 ]
 
 intf = gr.Interface(
@@ -41,10 +16,10 @@ intf = gr.Interface(
     outputs=label, 
     examples=examples, 
     title='Blood Disease Identifier', 
-    description="Please upload your blood smear image that is greater than 200x magnification to diagnose the patient with the following blood diseases: Sickle Cell Disease, Leukemia, or Thalassemia. <br><br>Please note that the results are not 100% accurate and should only be used as a first means of detection. Please contact a medical professional for more information and possible future action. CellXpert are not liable for any misdiagnosis that may occur.", 
+    description="Please upload your blood smear image that is greater than 200x magnification to diagnose the patient with the following blood diseases: Sickle Cell Disease, Leukemia, or Thalassemia. <br><br>Please note that the results are not 100% accurate and should only be used as a first means of detection. Please contact a medical professional for more information and possible future action. HematoTech are not liable for any misdiagnosis that may occur.", 
     allow_flagging=False, 
     article='Sickle cell disease (SCD) is a group of inherited red blood cell disorders. In SCD, the red blood cells become hard and sticky and look like a C-shaped farm tool called a “sickle.” The disease can be managed under proper medical supervision.'
 )
 
 # Launch the interface
-intf.launch(inline=False)
+intf.launch(inline=False)