File size: 2,957 Bytes
a122c4c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | import gradio as gr
from huggingface_hub import hf_hub_download
from llama_cpp import Llama
import time
import os
# Configuration
MODEL_NAME = "DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf"
MODEL_PATH = MODEL_NAME # Since we placed it in the same directory
# Initialize model (will be loaded on first use)
llm = None
def load_model():
"""Lazy-load the model only when needed."""
global llm
if llm is None:
print(f"⏳ Loading model {MODEL_NAME}... This may take 1-2 minutes on first run.")
start_time = time.time()
# CPU-optimized settings for free tier
llm = Llama(
model_path=MODEL_PATH,
n_ctx=2048, # Context size (smaller = less memory)
n_threads=2, # Use 2 CPU threads
n_gpu_layers=0, # CPU only on free tier
verbose=False
)
load_time = time.time() - start_time
print(f"✅ Model loaded in {load_time:.1f} seconds. Ready for inference.")
return llm
def generate_code(prompt, max_tokens=256, temperature=0.7):
"""Main generation function."""
try:
model = load_model()
# Format prompt for DeepSeek-Coder Instruct models
formatted_prompt = f"### Instruction:\n{prompt}\n\n### Response:\n"
# Generate
output = model(
formatted_prompt,
max_tokens=max_tokens,
temperature=temperature,
top_p=0.95,
echo=False,
stop=["###", "\n\n\n"]
)
return output['choices'][0]['text'].strip()
except Exception as e:
return f"❌ Error: {str(e)}"
# Create Gradio interface
demo = gr.Interface(
fn=generate_code,
inputs=[
gr.Textbox(
label="Code Prompt",
placeholder="Write a Python function to reverse a string...",
lines=4
),
gr.Slider(
minimum=32,
maximum=512,
value=256,
step=32,
label="Max Tokens"
),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.7,
step=0.1,
label="Temperature"
)
],
outputs=gr.Code(
label="Generated Code",
language="python"
),
title="💻 DeepSeek Coder V2 Lite (16B) - o87Dev",
description="**CPU Deployment** - Largest viable model on Hugging Face Spaces free tier. ⚠️ **First request loads model (~1-2 min)**",
examples=[
["Write a Python function to check if a number is prime"],
["Create a React component for a login form"],
["Explain binary search algorithm in Python"]
]
)
# Launch with queue for better handling on free tier
if __name__ == "__main__":
demo.launch(
server_name="0.0.0.0",
server_port=7860,
share=False # Set to True if you want a public link
)
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