added title and descreption, added predicted diagnosis

app.py

@@ -103,8 +103,11 @@ def Final_Compute_regression_results_Sample(Model, batch_sampler,num_head=2):
 
             # print('Vertical cup to disc ratio:')
             # print(ratios.vcdr)
-            if True:
-                glaucoma = 'not implemented'
+            if ratios.vcdr < 0.6:
+                glaucoma = 'None (Rule of thumb ~0.6 or greater is suspicious)'
+            else:
+                glaucoma = 'There May be a risk of Glaucoma (Rule of thumb ~0.6 or greater is suspicious)'
+
             # print('Galucoma:')
 
 
@@ -137,8 +140,8 @@ def infer(img):
     return ratio, diagnosis, result, cropped
 
 
-title = "Glaucoma detection"
-description = "Using vertical ratio"
+title = "Glaucoma Detection in Retinal Fundus Images"
+description = "The method detects disc and cup in the retinal image, then it computes the Vertical cup to disc ratio"
 
 outputs = [gr.Textbox(label="Vertical cup to disc ratio:"), gr.Textbox(label="predicted diagnosis"), gr.Image(label='labeled image'), gr.Image(label='zoomed in')]
 with gr.Blocks(css='#title {text-align : center;} ') as demo:
@@ -160,8 +163,8 @@ with gr.Blocks(css='#title {text-align : center;} ') as demo:
                 inputs=[prompt], fn=infer, outputs=[outputs], cache_examples=False)
         with gr.Column():
             with gr.Row():
-                text1 = gr.Textbox(label="Vertical cup to disc ratio:")
-                text2 = gr.Textbox(label="predicted diagnosis")
+                text1 = gr.Textbox(label="Vertical Cup to Disc Ratio:")
+                text2 = gr.Textbox(label="Predicted Diagnosis")
             img = gr.Image(label='labeled image')
             zoom = gr.Image(label='zoomed in')