AI: Create/Update app.py

app.py

@@ -0,0 +1,24 @@
+# Gradio Chatbot with Gemma-3-1B-IT
+
+from gradio import Interface, Chatbot
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model_name = 'google/gemma-3-1b-it'
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Chatbot handler
+def respond(message, chat_history):
+    inputs = tokenizer(message, return_tensors='pt')
+    outputs = model.generate(**inputs, max_new_tokens=100)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Create interface
+chatbot = Chatbot()
+iface = Interface(fn=respond, inputs=chatbot, outputs=chatbot)
+
+# Launch app
+if __name__ == '__main__':
+    iface.launch()