Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+model_id = "deepseek-ai/deepseek-coder-1.3b-base"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def code_agent(prompt):
+    output = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.2)
+    return output[0]["generated_text"]
+
+demo = gr.Interface(fn=code_agent, inputs="text", outputs="text")
+demo.launch()