Update pages/21_NLP_Transformer_Prompt_1.py

pages/21_NLP_Transformer_Prompt_1.py

@@ -11,6 +11,10 @@ classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
 
 # Streamlit interface
 st.title("Sentiment Analysis with Hugging Face Transformers")
+
+prompt_text = "create a nlp transformer example using pytorch that will run hugging face, put a streamlit interface on it that will take the appropriate inputs and outputs include a matplotlib graph if necessary with the output. The code should be all together to make it easy to cut and paste."
+st.write(f"**Prompt:** {prompt_text}")
+
 st.write("Enter text to analyze its sentiment:")
 
 input_text = st.text_area("Input Text", height=200)