Update app.py

app.py

@@ -1248,22 +1248,9 @@ def process_examples(file_name):
     file_path = f"example_files/{file_name[0]}"
     file_path = [file_path]
     outputs = variable_outputs(file_path)
-    img = display_trust_score_1()
-  
-    
-    
-    return outputs,img
-    
-def process_examples1(file_name):
-    file_path = f"example_files/{file_name[0]}"
-    file_path = [file_path]
-    outputs = variable_outputs(file_path)
-    img = display_trust_score_2()
-  
-    
-    
-    return outputs,img
 
+    return outputs
+    
 
     
 def process_datasets(file_inputs):
@@ -1624,25 +1611,25 @@ def read_ai_dataset_selection():
 def create_trust_score_1():
     score = 8.5
     max_score = 10
-    fig, ax = plt.subplots(figsize=(2, 2), subplot_kw=dict(aspect="equal"))
+    fig, ax = plt.subplots(figsize=(1, 1), subplot_kw=dict(aspect="equal"))
     values = [score, max_score - score]
-    ax.pie(values, colors=["#4CAF50", "#C0C0C0"], startangle=90, counterclock=False, wedgeprops=dict(width=0.3))
+    ax.pie(values, colors=["#4CAF50", "#C0C0C0"], startangle=90, counterclock=False, wedgeprops=dict(width=0.2))
     
-    plt.text(0, 0, f"{score}/{max_score}", horizontalalignment='center', verticalalignment='center', fontsize=12)
+    plt.text(0, 0, f"{score}/{max_score}", horizontalalignment='center', verticalalignment='center', fontsize=6)
     plt.axis("equal")
-    fig.suptitle('Trust Score 1', fontsize=10)
+    fig.suptitle('Trust Score 1', fontsize=6)
     return fig
 
 def create_trust_score_2():
     score = 7.5
     max_score = 10
-    fig, ax = plt.subplots(figsize=(2, 2), subplot_kw=dict(aspect="equal"))
+    fig, ax = plt.subplots(figsize=(1, 1), subplot_kw=dict(aspect="equal"))
     values = [score, max_score - score]
-    ax.pie(values, colors=["#4CAF50", "#C0C0C0"], startangle=90, counterclock=False, wedgeprops=dict(width=0.3))
+    ax.pie(values, colors=["#4CAF50", "#C0C0C0"], startangle=90, counterclock=False, wedgeprops=dict(width=0.2))
     
-    plt.text(0, 0, f"{score}/{max_score}", horizontalalignment='center', verticalalignment='center', fontsize=12)
+    plt.text(0, 0, f"{score}/{max_score}", horizontalalignment='center', verticalalignment='center', fontsize=6)
     plt.axis("equal")
-    fig.suptitle('Trust Score 2', fontsize=10)
+    fig.suptitle('Trust Score 2', fontsize=6)
     return fig
 
 def plot_to_numpy(fig):
@@ -1782,21 +1769,29 @@ with gr.Blocks() as demo:
 
         ## All widget functions here ##
 
+        vw_customers_btn.click(
+            fn=display_trust_score_1,  
+            inputs=[],
+            outputs=trust_score_output,
+        )
+        
+        vw_prospects_btn.click(
+            fn=display_trust_score_2,  
+            inputs=[],
+            outputs=trust_score_output,
+        )
+        
         vw_customers_btn.click(
             fn=process_examples,
             inputs=[vw_customers_state],
-            outputs=[outputs,trust_score_output],
-            
+            outputs= outputs,
         )
-
-  
+        
         vw_prospects_btn.click(
             fn=process_examples1,
             inputs=[vw_prospects_state],
-            outputs=[outputs,trust_score_output],
+            outputs= outputs,
         )
- 
-
 
         radio.change(fn=update_ai_dataset_selection, inputs=radio, outputs=[])