Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import DistilGPT2Tokenizer, DistilGPT2LMHeadModel
+
+# Load model and tokenizer
+tokenizer = DistilGPT2Tokenizer.from_pretrained("distilgpt2")
+model = DistilGPT2LMHeadModel.from_pretrained("distilgpt2")
+
+def generate_response(prompt):
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=50, num_return_sequences=1)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Define Gradio interface
+iface = gr.Interface(
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="DistilGPT-2 Chatbot",
+    description="A chatbot powered by DistilGPT-2."
+)
+
+if __name__ == "__main__":
+    iface.launch()