Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "Datangtang/GGUF1B"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="cpu")
+
+def chat_fn(message):
+    inputs = tokenizer(message, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=150)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+demo = gr.Interface(fn=chat_fn, inputs="text", outputs="text", title="My Finetuned LLM Chat")
+
+demo.launch()