*

app.py

@@ -27,7 +27,7 @@ def classify(input_text_message: str):
 
     logger.info(time.strftime("%Y.%m.%d, %H:%M:%S")+' '+'result '+str(confidences))
 
-    return confidences
+    return confidences, len(words)
 
 labels = ['eastern armenian', 'western armenian', 'grabar (classic) armenian']
 
@@ -55,12 +55,13 @@ with gr.Blocks() as demo:
         with gr.Row():
             text_input = gr.Textbox(lines=2, placeholder="Enter your text here")
             rec_output = gr.Label(label='Labels', num_top_classes=3)
+        txt_output=gr.Textbox(label='Number of words')
 
         text_button = gr.Button("Define dialect group")
         examples_block = gr.Examples(examples=examples,
                                      inputs=[text_input], )
 
         text_button.click(classify, inputs=text_input,
-                          outputs=[rec_output])
+                          outputs=[rec_output,txt_output])
 
 demo.launch(share=False, debug=True)

classifier.ipynb

@@ -38,6 +38,7 @@
     "\n",
     "\n",
     "words=preprocess(text)\n",
+    "print(len(words))\n",
     "desc_lexical=get_lexical_desc(words).reshape((1,-1))\n",
     "desc_morphemic=get_morphemic_desc(words).reshape((1,-1))\n",
     "\n",
@@ -71,7 +72,7 @@
     "\n",
     "    logger.info(time.strftime(\"%Y.%m.%d, %H:%M:%S\")+' '+'result '+str(confidences))\n",
     "    \n",
-    "    return confidences\n",
+    "    return confidences, len(words)\n",
     "\n",
     "labels = ['eastern armenian', 'western armenian', 'grabar (classic) armenian']\n",
     "\n",
@@ -99,13 +100,14 @@
     "        with gr.Row():\n",
     "            text_input = gr.Textbox(lines=2, placeholder=\"Enter your text here\")\n",
     "            rec_output = gr.Label(label='Labels', num_top_classes=3)\n",
+    "        txt_output=gr.Textbox(label='Number of words')\n",
     "        \n",
     "        text_button = gr.Button(\"Define dialect group\")\n",
     "        examples_block = gr.Examples(examples=examples,\n",
     "                                     inputs=[text_input], )\n",
     "\n",
     "        text_button.click(classify, inputs=text_input,\n",
-    "                          outputs=[rec_output])\n",
+    "                          outputs=[rec_output,txt_output])\n",
     "\n",
     "\n",
     "\n",