Update app.py

app.py

@@ -13,11 +13,11 @@ from transformers import AutoTokenizer, AutoModelWithLMHead
 
 ## connection with HF datasets
 HF_TOKEN = os.environ.get("HF_TOKEN")
-DATASET_NAME = "emotion_detection"
+DATASET_NAME = "emotion_detection_dataset"
 DATASET_REPO_URL = f"https://huggingface.co/datasets/pragnakalp/{DATASET_NAME}"
 DATA_FILENAME = "emotion_detection_logs.csv"
 DATA_FILE = os.path.join("emotion_detection_logs", DATA_FILENAME)
-DATASET_REPO_ID = "pragnakalp/emotion_detection"
+DATASET_REPO_ID = "pragnakalp/emotion_detection_dataset"
 print("is none?", HF_TOKEN is None)
 try:
     hf_hub_download(
@@ -148,7 +148,7 @@ 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=10, label="Sentences",elem_id="inp_div")
+inputs = gr.Textbox(value=SENTENCES_VALUE,lines=3, label="Sentences",elem_id="inp_div")
 outputs = [gr.Dataframe(row_count = (2, "dynamic"), col_count=(2, "fixed"), label="Here is the Result", headers=["Input","Detected Emotion"])]
 
 demo = gr.Interface(
@@ -157,6 +157,11 @@ demo = gr.Interface(
     outputs,
     title="Emotion Detection",
     description="Feel free to give your feedback", 
-    css=".gradio-container {background-color: lightgray} #inp_div {background-color: #FB3D5;}"
+    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. 
+            We will be happy to serve you for your Emotion Detection 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>"""
 )
 demo.launch()