Upload app.py

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from unsloth import FastLanguageModel
+import torch
+
+model, tokenizer = FastLanguageModel.from_pretrained("yourusername/lora_model", load_in_4bit=True)
+FastLanguageModel.for_inference(model)
+
+def chat(input_text):
+    messages = [{"role": "user", "content": input_text}]
+    inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda")
+    outputs = model.generate(inputs, max_new_tokens=128, temperature=1.0)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(fn=chat, inputs="text", outputs="text").launch()