app

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "AddieFoote0/arithmetic-300M-reference"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+def generate_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=50, temperature=0.7)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(
+    fn=generate_response,
+    inputs=gr.Textbox(label="Enter your prompt"),
+    outputs=gr.Textbox(label="Model Response"),
+    title="Arithmetic Model Demo"
+)
+
+iface.launch()