Create aap.py

aap.py

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+import streamlit as st
+from transformers import pipeline
+
+# Create a text generation pipeline
+pipe = pipeline("text-generation", model="ismaelfaro/gpt2-poems.en")
+
+# Define the Streamlit app
+st.title("Text Generation with Hugging Face Transformers")
+
+# Input for user to provide a seed text
+seed_text = st.text_input("Enter a seed text:")
+
+# Button to generate text
+if st.button("Generate Text"):
+    if seed_text:
+        generated_text = pipe(seed_text, max_length=50, do_sample=True)[0]['generated_text']
+        st.write("Generated Text:")
+        st.write(generated_text)
+    else:
+        st.write("Please enter a seed text to generate text.")
+
+# Instructions and information
+st.markdown("This app uses the Hugging Face Transformers library for text generation.")
+st.markdown("Model: ismaelfaro/gpt2-poems.en")
+
+# Provide additional information or options here
+