Update app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# Load model and tokenizer from Hugging Face Hub
+model_id = "deepseek-ai/deepseek-coder-1.3b-base"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32)
+
+def generate_code(prompt):
+    if not prompt.strip():
+        return "⚠ Please enter a valid prompt."
+    
+    inputs = tokenizer(prompt, return_tensors="pt")
+    inputs = {k: v.to(model.device) for k, v in inputs.items()}
+    
+    with torch.no_grad():
+        outputs = model.generate(**inputs, max_new_tokens=200, temperature=0.7)
+    
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Launch Gradio UI
+demo = gr.Interface(fn=generate_code, 
+                    inputs=gr.Textbox(lines=5, label="Enter Prompt"), 
+                    outputs="text", 
+                    title="Code Generator using DeepSeek")
+
+demo.launch()