Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the text generation pipeline with the GPT-2 model
+pipe = pipeline("text-generation", model="openai-community/gpt2")
+
+def generate_text(prompt):
+    # Generate text using the pipeline
+    result = pipe(prompt, max_length=100, num_return_sequences=1)
+    return result[0]['generated_text']
+
+# Create Gradio interface
+title = "GPT-2 Text Generation"
+description = "Generate text based on a prompt using the GPT-2 model."
+
+interface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.Textbox(label="Enter your prompt"),
+    outputs=gr.Textbox(label="Generated Text"),
+    title=title,
+    description=description,
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    interface.launch()