Update app.py

app.py

@@ -2,16 +2,17 @@ import gradio as gr
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
-# Model name
-model_name = "deepseek-ai/deepseek-coder-1.3b-base"
+# Model
+model_name = "deepseek-ai/deepseek-coder-1.3b-instruct"
 
 # Load tokenizer
 tokenizer = AutoTokenizer.from_pretrained(model_name)
+tokenizer.pad_token = tokenizer.eos_token
 
-# Load model (optimized for CPU)
+# Load model (CPU optimized)
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
-    torch_dtype=torch.float32,     # CPU friendly
+    torch_dtype=torch.float32,
     low_cpu_mem_usage=True
 )
 
@@ -23,31 +24,51 @@ def generate_code(prompt):
     if not prompt.strip():
         return "Please enter a prompt."
 
-    inputs = tokenizer(prompt, return_tensors="pt")
+    formatted_prompt = f"""You are a professional programmer.
+Write clean, complete, and correct code.
+
+Instruction:
+{prompt}
+
+Response:
+"""
+
+    inputs = tokenizer(
+        formatted_prompt,
+        return_tensors="pt",
+        truncation=True,
+        max_length=512
+    )
 
     with torch.no_grad():
         outputs = model.generate(
             **inputs,
-            max_new_tokens=100,     # lower = faster
-            temperature=0.5,
+            max_new_tokens=120,
+            temperature=0.2,
+            top_p=0.9,
             do_sample=True,
-            top_p=0.9
+            repetition_penalty=1.2,
+            eos_token_id=tokenizer.eos_token_id,
+            pad_token_id=tokenizer.eos_token_id
         )
 
-    result = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    output_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    # Clean output
+    result = output_text.replace(formatted_prompt, "").strip()
+
     return result
 
-# Gradio UI
+# UI
 iface = gr.Interface(
     fn=generate_code,
     inputs=gr.Textbox(
         lines=5,
-        placeholder="Write a coding prompt here..."
+        placeholder="Example: Create a login page using HTML and CSS"
     ),
-    outputs=gr.Textbox(lines=10),
-    title="DeepSeek Coder 1.3B (CPU Optimized)",
-    description="Generate code using DeepSeek Coder running on Hugging Face Spaces (CPU mode)."
+    outputs=gr.Textbox(lines=12),
+    title="DeepSeek Coder AI (Optimized)",
+    description="Code generator running on Hugging Face Spaces (CPU optimized)."
 )
 
-# Launch app
 iface.launch()