Create app.py

app.py

@@ -0,0 +1,26 @@
+import streamlit as st
+from transformers import pipeline
+
+# Step 1: Load the Hugging Face model
+@st.cache_resource
+def load_model():
+    return pipeline("text-generation", model="gpt2")  # Replace 'gpt2' with another model if needed
+
+generator = load_model()
+
+# Step 2: Design the Streamlit layout
+st.title("Hugging Face Text Generator")
+st.write("Generate creative text using GPT-2!")
+
+# Get user input
+user_input = st.text_area("Enter a prompt for text generation:", "Once upon a time")
+
+# Generate text when the button is clicked
+if st.button("Generate Text"):
+    with st.spinner("Generating..."):
+        results = generator(user_input, max_length=50, num_return_sequences=1)
+        generated_text = results[0]["generated_text"]
+        st.subheader("Generated Text:")
+        st.write(generated_text)
+
+st.write("Powered by Streamlit and Hugging Face 🤗")