Update app.py

app.py

@@ -169,6 +169,16 @@ def on_select(instruction1, instruction2, instruction3, evt: gr.SelectData):
     selected_plan = [instruction1, instruction2, instruction3][selected_plan-1]
     return selected_plan
 
+#----------------#
+# Grammar metrics
+import textstat
+
+def calculate_metrics(text):
+    flesch_kincaid_grade = textstat.flesch_kincaid_grade(text)
+    flesch_reading_ease = textstat.flesch_reading_ease(text)
+    gunning_fog = textstat.gunning_fog(text)
+    
+    return flesch_kincaid_grade, flesch_reading_ease, gunning_fog
 
 with gr.Blocks(title="RecurrentGPT", css="footer {visibility: hidden}", theme='sudeepshouche/minimalist') as demo:
     gr.Markdown(
@@ -275,7 +285,21 @@ with gr.Blocks(title="RecurrentGPT", css="footer {visibility: hidden}", theme='s
             short_memory, long_memory, written_paras, instruction1, instruction2, instruction3])
         selected_plan.select(on_select, inputs=[
                              instruction1, instruction2, instruction3], outputs=[selected_instruction])
-
+    with gr.Tab("Metrics"):
+        with gr.Row():
+            with gr.Column()
+                flesch_kincaid_grade = gr.Number(label="Flesch-Kincaid Grade Level")
+                flesch_reading_ease = gr.Number(label="Flesch Reading Ease")
+                gunning_fog = gr.Number(label="Gunning Fog Index")
+            
+                calculate_button = gr.Button("Calculate Metrics")
+            
+            def update_metrics(text):
+                grade, ease, fog = calculate_metrics(text)
+                return grade, ease, fog
+            
+            calculate_button.click(fn=update_metrics, inputs=input_text, outputs=[flesch_kincaid_grade, flesch_reading_ease, gunning_fog])
+    
     demo.queue(concurrency_count=1)
 
 if __name__ == "__main__":