Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "HuggingFaceTB/finemath-ablation-finemath-infimath-4plus"
+# device = "cuda" if torch.cuda.is_available() else "cpu"
+device = "cpu"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name).to(device)
+
+
+def generate_text(prompt):
+    inputs = tokenizer.encode(prompt, return_tensors="pt").to(device)
+    outputs = model.generate(inputs, max_length=100, num_return_sequences=1)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+
+interface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="MatheuX",
+    description="MatheuX de LuXe on the FluX"
+)
+
+
+if __name__ == "__main__":
+    interface.launch()