Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model_name = "gpt2"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Define pipeline for text generation
+generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
+
+# Define Gradio interface
+def generate_text(prompt):
+    result = generator(prompt, max_length=50)[0]
+    generated_text = result['generated_text']
+    return generated_text
+
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", 
+                     title="Text Generation with Hugging Face and Gradio", 
+                     description="Enter prompt to generate text.")
+
+# Launch Gradio interface
+iface.launch()