Create app.py

app.py

@@ -0,0 +1,19 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+import gradio as gr
+
+model_id = "deepseek-ai/deepseek-coder-1.3b-base"  # change to your choice
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="auto",
+    torch_dtype="auto"
+)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(prompt):
+    result = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.2)
+    return result[0]['generated_text']
+
+iface = gr.Interface(fn=chat, inputs="text", outputs="text")
+iface.launch()