Update app.py

app.py

@@ -141,8 +141,8 @@ def save_data_and_sendmail(article,output):
     except Exception as e:
         return "Error while sending mail" + str(e)
         
-input=gr.Textbox(lines=3, value=input_value, label="Input Text")
-output = gr.Dataframe(row_count = (2, "dynamic"), col_count=(2, "fixed"), headers=["Entities Found","Entity Types"], lable="Here is the result")
+input=gr.Textbox(lines=3, value=input_value, label="Input Text",elem_id="inp_div")
+output = gr.Dataframe(row_count = (2, "dynamic"), col_count=(2, "fixed"), headers=["Entities Found","Entity Types"], lable="Here is the result",elem_id="inp_div")
 # with gr.Blocks(css=".gradio-container {background-color: lightgray}") as demo:
 #     gr.Markdown("<h1 style='text-align: center;'>"+ "Named Entity Recognition Using BERT" + "</h1><br/><br/>")
 #     with gr.Row():
@@ -167,7 +167,7 @@ demo = gr.Interface(
     input,
     output,
     title="Named Entity Recognition Using BERT",
-    css=".gradio-container {background-color: lightgray}",
+    css=".gradio-container {background-color: lightgray}  #inp_div {background-color: #7FB3D5;",
     article="""Feel free to give us your [feedback](https://www.pragnakalp.com/contact/) on this NER demo. For all your Named Entity Recognition related 
             requirements, we are here to help you. Email us your requirement at [[email protected]]("mailto:[email protected]").
             And don't forget to check out more interesting [NLP services](https://www.pragnakalp.com/services/natural-language-processing-services/) we are offering.