Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = 'deepseek-ai/deepseek-coder-33b-instruct'
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+
+input_ids = tokenizer.encode(input_text, return_tensors="pt")
+
+kwargs = {
+    "max_length": 500,
+    "num_return_sequences": 1,
+    "temperature": 0.7,
+    "top_k": 50
+}
+
+# Generate text
+output_ids = model.generate(input_ids, **kwargs)
+
+# Decode and print the output
+output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+print(output_text)