Update app.py

app.py

@@ -1,3 +1,22 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.load("models/pavan01729/llama2_gpt_ai_dataset_plus").launch()
+# Use a smaller, publicly available model
+model_name = "gpt2"  # You can change this to another suitable model
+
+# Create a text generation pipeline
+generator = pipeline('text-generation', model=model_name)
+
+def generate_text(prompt):
+    result = generator(prompt, max_length=100, num_return_sequences=1)
+    return result[0]['generated_text']
+
+iface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="Text Generation with GPT-2",
+    description="Enter a prompt to generate text using GPT-2."
+)
+
+iface.launch()