Update app.py

app.py

@@ -103,12 +103,12 @@ def get_dashboard():
 
     if len(df) == 0:
         ax.text(0.5, 0.5, "No vehicles scanned yet",
-                ha="center", va="center", fontsize=12)
+                ha="center", va="center", fontsize=8)
         ax.axis("off")
         return fig
 
     counts = df["type"].value_counts()
-    counts.plot(kind="bar", ax=ax)
+    counts.plot(kind="line", ax=ax)
 
     ax.set_title("Vehicle Classification Dashboard")
     ax.set_xlabel("Vehicle Type")
@@ -171,7 +171,7 @@ def visualize_prediction(img, output_dict, threshold=0.5, id2label=None):
 
             if plate_type == "EV":
                 amount = BASE_TOLL * 0.9
-                price_text = f"EV | ₹{amount:.0f} (10% off)"
+                price_text = f"EV |Congratulations !! 10% off on the amount "
             else:
                 amount = BASE_TOLL
                 price_text = f"{plate_type} | ₹{amount:.0f}"
@@ -248,16 +248,16 @@ with demo:
         with gr.TabItem('Image URL'):
             with gr.Row():
                 url_input = gr.Textbox(lines=2, label='Enter valid image URL here..')
-                original_image = gr.Image(height=400)
+                original_image = gr.Image(height=200)
                 url_input.change(get_original_image, url_input, original_image)
-                img_output_from_url = gr.Image(height=400)
+                img_output_from_url = gr.Image(height=200)
             dashboard_output_url = gr.Plot()
             url_but = gr.Button('Detect')
 
         with gr.TabItem('Image Upload'):
             with gr.Row():
-                img_input = gr.Image(type='pil', height=400)
-                img_output_from_upload = gr.Image(height=400)
+                img_input = gr.Image(type='pil', height=200)
+                img_output_from_upload = gr.Image(height=200)
             dashboard_output_upload = gr.Plot()
             img_but = gr.Button('Detect')
 
@@ -266,7 +266,7 @@ with demo:
                 web_input = gr.Image(
                     sources=["webcam"],
                     type="pil",
-                    height=400,
+                    height=200,
                     streaming=True
                 )
                 img_output_from_webcam = gr.Image(height=400)