Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Create a text-generation pipeline using GPT-2
+generator = pipeline('text-generation', model='gpt2')
+
+def generate_text(prompt):
+    # Generate text with a maximum length of 50 tokens
+    generated = generator(prompt, max_length=50, num_return_sequences=1)
+    return generated[0]['generated_text']
+
+# Create a Gradio interface with one text input and one text output
+iface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="Simple LLM with Hugging Face & Gradio",
+    description="Enter a prompt and get text generated by a basic GPT-2 model."
+)
+
+# Launch the interface
+iface.launch()