Update app.py

app.py

@@ -118,31 +118,35 @@ def get_emotion(text):
     return label
 
 def generate_emotion(article):
-    sen_list = article
-    sen_list = sen_list.split('\n')
-    while("" in sen_list):
-        sen_list.remove("")
-    sen_list_temp = sen_list[0:]
-    print(sen_list_temp)
-    results_dict = []
-    results = []
-
-    for sen in sen_list_temp:
-        if(sen.strip()):
-            cur_result = get_emotion(sen)
-
-            results.append(cur_result)
-            results_dict.append(
-                {
-                    'sentence': sen,
-                    'emotion': cur_result
-                }
-            )
-            
-    result = {'Input':sen_list_temp, 'Detected Emotion':results}
-    gc.collect()
-    save_data_and_sendmail(article,results_dict,sen_list, results)
-    return pd.DataFrame(result)
+    table = {'Input':[], 'Detected Emotion':[]}
+    if article.strip()
+        sen_list = article
+        sen_list = sen_list.split('\n')
+        while("" in sen_list):
+            sen_list.remove("")
+        sen_list_temp = sen_list[0:]
+        print(sen_list_temp)
+        results_dict = []
+        results = []
+    
+        for sen in sen_list_temp:
+            if(sen.strip()):
+                cur_result = get_emotion(sen)
+    
+                results.append(cur_result)
+                results_dict.append(
+                    {
+                        'sentence': sen,
+                        'emotion': cur_result
+                    }
+                )
+                
+        table = {'Input':sen_list_temp, 'Detected Emotion':results}
+        gc.collect()
+        save_data_and_sendmail(article,results_dict,sen_list, table)
+        return pd.DataFrame(table)
+    else:
+        raise gr.Error("Please enter text in inputbox!!!!")
     
 """
 Save generated details
@@ -181,7 +185,7 @@ def save_data_and_sendmail(article,results_dict,sen_list,results):
 UI design for demo using gradio app
 """
 inputs = gr.Textbox(value=SENTENCES_VALUE,lines=3, label="Sentences",elem_id="inp_div")
-outputs = [gr.Dataframe(row_count = (3, "dynamic"), col_count=(2, "fixed"), label="Here is the Result", headers=["Input","Detected Emotion"])]
+outputs = [gr.Dataframe(row_count = (3, "dynamic"), col_count=(2, "fixed"), label="Here is the Result", headers=["Input","Detected Emotion"],wrap=True)]
 
 demo = gr.Interface(
     generate_emotion,
@@ -189,10 +193,10 @@ demo = gr.Interface(
     outputs,
     title="Emotion Detection",
     css=".gradio-container {background-color: lightgray} #inp_div {background-color: #FB3D5;}",
-    article="""Provide us your [feedback](https://www.pragnakalp.com/contact/) on this demo and feel free to contact us at
-            [letstalk@pragnakalp.com]("mailto:letstalk@pragnakalp.com") if you want to have your own Emotion Detection system. 
+    article="""<p style='text-align: center;'>Provide us your <a href="https://www.pragnakalp.com/contact/" target="_blank">feedback</a> on this demo and feel free 
+            to contact us at <a href="mailto:letstalk@pragnakalp.com" target="_blank">letstalk@pragnakalp.com</a> if you want to have your own Emotion Detection system. 
             We will be happy to serve you for your requirement. And don't forget to check out more interesting 
-            [NLP services](https://www.pragnakalp.com/services/natural-language-processing-services/) we are offering.
-                        <p style='text-align: center;'>Developed by :[ Pragnakalp Techlabs](https://www.pragnakalp.com)</p>"""
+            <a href="https://www.pragnakalp.com/services/natural-language-processing-services/" target="_blank">NLP services</a> we are offering.</p>
+            <p style='text-align: center;'>Developed by :<a href="https://www.pragnakalp.com" target="_blank">Pragnakalp Techlabs</a></p>"""
 )
 demo.launch()