Update app.py

app.py

@@ -114,7 +114,7 @@ g = gr.Interface(
     fn=evaluate,
     inputs=[
         gr.components.Textbox(
-            lines=2, label="Instruction", placeholder="classify text as one of these six different emotions: anger, fear, joy, love, sadness, or surprise"
+            lines=2, label="Instruction", placeholder="Classify the text as one of these six different emotions: anger, fear, joy, love, sadness, or surprise.Response in lower-case and one word only."
         ),
         gr.components.Textbox(lines=2, label="Input", placeholder="I am crying"),
         gr.components.Slider(minimum=0, maximum=1, value=0.1, label="Temperature"),
@@ -134,7 +134,7 @@ g = gr.Interface(
     title="Fine-tuned version of Vicuna Model",
     description="This model is a fine-tuned version of the Vicuna model for sentiment analysis. https://github.com/hennypurwadi/Vicuna_finetune_sentiment_analysis \
     Base model is https://huggingface.co/TheBloke/vicuna-7B-1.1-HF \
-    It is fine-tuned and trained on a dataset to classify text as one of these six different emotions: anger, fear, joy, love, sadness, or surprise. \
+    It is fine-tuned and trained on a dataset to Classify the text as one of these six different emotions: anger, fear, joy, love, sadness, or surprise.Response in lower-case and one word only. \
     The model was trained and tested on a labeled dataset from Kaggle (https://www.kaggle.com/datasets/praveengovi/emotions-dataset-for-nlp)",
 )