Create LLM.py

LLM.py

@@ -0,0 +1,13 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("IlyaGusev/saiga_gemma2_10b")
+model = AutoModelForCausalLM.from_pretrained("IlyaGusev/saiga_gemma2_10b")
+
+def generate_text(prompt):
+    input_ids = tokenizer.encode(prompt, return_tensors="pt")
+    output = model.generate(input_ids, max_length=50)
+    return tokenizer.decode(output[0], skip_special_tokens=True)
+
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+iface.launch()