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from flask import Flask, request, jsonify, send_from_directory
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
import os
app = Flask(__name__)
# Load model
model_id = "deepseek-ai/DeepSeek-V3-0324"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True, torch_dtype=torch.float16, device_map="auto")
model.to('cpu')
@app.route('/')
def serve_index():
return send_from_directory('.', 'index.html')
@app.route('/generate', methods=['POST'])
def generate():
data = request.get_json()
user_prompt = data['prompt']
enhanced_prompt = (
f"Generate a highly advanced, modern, single-file HTML website or web app with animations. "
f"Use HTML, CSS, and JavaScript only. Return just the code. No explanation. Prompt:\n{user_prompt}\n\n```html\n"
)
inputs = tokenizer(enhanced_prompt, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=1000,
temperature=0.7,
pad_token_id=tokenizer.eos_token_id
)
decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
# Extract HTML code only
if "```html" in decoded:
code = decoded.split("```html")[1].split("```")[0]
else:
code = decoded
return jsonify({"code": code})
if __name__ == '__main__':
app.run(debug=True)
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