add transformer example

app.py

@@ -1,8 +1,30 @@
+# import streamlit as st
+#
+# x = st.slider('Select a value')
+# st.write(x, 'squared is', x * x)
+
+
 import streamlit as st
+from transformers import pipeline
+
+# Load a pre-trained pipeline for text generation
+generator = pipeline('text-generation', model='gpt2')
+
+st.title('Simple Hugging Face Space with Streamlit')
+
+# Text input widget
+input_text = st.text_area('Enter your text here:', '')
+
+if st.button('Generate'):
+    if input_text:
+        # Generate text using the model
+        outputs = generator(input_text, max_length=50, num_return_sequences=1)
+        st.write('Generated Text:')
+        st.write(outputs[0]['generated_text'])
+    else:
+        st.write('Please enter some text to generate.')
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+# if __name__ == '__main__':
+#     st.title('ACR')
 
 
-if __name__ == '__main__':
-    st.title('ACR')