Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct", trust_remote_code=True, device_map="auto")
+
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def generate_website_code(prompt):
+    formatted_prompt = f"<|user|>\n{prompt}\n<|assistant|>\n"
+    result = generator(formatted_prompt, max_new_tokens=1024, do_sample=True, temperature=0.7)
+    code = result[0]['generated_text'].split("<|assistant|>")[-1].strip()
+    return code
+
+demo = gr.Interface(
+    fn=generate_website_code,
+    inputs=gr.Textbox(lines=3, label="Describe your website idea"),
+    outputs=gr.Code(label="Generated HTML/CSS/JS Code"),
+    title="WebX — AI Website Generator",
+    description="Turn your website ideas into code using DeepSeek Coder."
+)
+
+demo.launch()