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import subprocess
import urllib.request
import zipfile
import tarfile
import json
import time
import re
import httpx
import requests
import spaces
from fastapi import Request
from fastapi.responses import StreamingResponse
import gradio as gr
@spaces.GPU
def dummy_gpu_check():
pass
def get_latest_llama_tag():
try:
url = "https://api.github.com/repos/ggml-org/llama.cpp/releases/latest"
req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'})
with urllib.request.urlopen(req) as response:
data = json.loads(response.read().decode())
return data["tag_name"]
except Exception:
return "b4610"
def download_and_extract(tag):
zip_url = f"https://github.com/ggml-org/llama.cpp/releases/download/{tag}/llama-{tag}-bin-ubuntu-x64.zip"
tar_url = f"https://github.com/ggml-org/llama.cpp/releases/download/{tag}/llama-{tag}-bin-ubuntu-x64.tar.gz"
try:
urllib.request.urlretrieve(zip_url, "llama.zip")
with zipfile.ZipFile("llama.zip", 'r') as zip_ref:
zip_ref.extractall(".")
return True
except Exception:
try:
urllib.request.urlretrieve(tar_url, "llama.tar.gz")
with tarfile.open("llama.tar.gz", "r:gz") as tar_ref:
tar_ref.extractall(".")
return True
except Exception:
return False
def find_binary(name):
for root, dirs, files in os.walk("."):
if name in files:
full_path = os.path.join(root, name)
os.chmod(full_path, 0o755)
return full_path
return None
def setup_cloudflared():
cf_path = os.path.abspath("cloudflared")
if not os.path.exists(cf_path):
print("Downloading cloudflared...")
url = "https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64"
try:
urllib.request.urlretrieve(url, cf_path)
os.chmod(cf_path, 0o755)
except Exception as e:
print(f"Failed to download cloudflared: {e}")
return None
return cf_path
def start_tunnel(port):
cf_path = setup_cloudflared()
if not cf_path:
return None, None
cmd = [cf_path, "tunnel", "--url", f"http://127.0.0.1:{port}"]
process = subprocess.Popen(
cmd,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
bufsize=1
)
tunnel_url = None
start_time = time.time()
while time.time() - start_time < 30:
line = process.stdout.readline()
if not line:
break
print(f"[Cloudflared] {line.strip()}")
match = re.search(r"https://[a-zA-Z0-9-]+\.trycloudflare\.com", line)
if match:
tunnel_url = match.group(0)
print(f"Cloudflare Tunnel URL: {tunnel_url}")
break
return process, tunnel_url
client = httpx.AsyncClient(base_url="http://127.0.0.1:8000")
def make_proxy_handler(target_prefix):
async def handler(request: Request, path: str = None):
full_path = target_prefix
if path:
full_path = f"{target_prefix}/{path}"
url = f"http://127.0.0.1:8000/{full_path}"
headers = dict(request.headers)
headers.pop("host", None)
body = await request.body()
req = client.build_request(
method=request.method,
url=url,
headers=headers,
content=body,
params=request.query_params
)
r = await client.send(req, stream=True)
return StreamingResponse(
r.aiter_raw(),
status_code=r.status_code,
headers=dict(r.headers)
)
return handler
def respond(message, history):
messages = []
for h in history:
if isinstance(h, dict):
messages.append({"role": h["role"], "content": h["content"]})
else:
messages.append({"role": "user", "content": h[0]})
messages.append({"role": "assistant", "content": h[1]})
messages.append({"role": "user", "content": message})
payload = {
"messages": messages,
"stream": True,
"temperature": 0.7,
"max_tokens": 10240
}
response = ""
try:
with requests.post("http://127.0.0.1:8000/v1/chat/completions", json=payload, stream=True) as r:
for line in r.iter_lines():
if line:
line_str = line.decode('utf-8').strip()
if line_str.startswith("data: "):
data_str = line_str[6:]
if data_str == "[DONE]":
break
try:
data = json.loads(data_str)
delta = data["choices"][0]["delta"]
if "content" in delta:
response += delta["content"]
yield response
except Exception:
pass
except Exception as e:
yield f"Connection error: {e}"
def main():
tag = get_latest_llama_tag()
binary_path = find_binary("llama-server")
if not binary_path:
if download_and_extract(tag):
binary_path = find_binary("llama-server")
if not binary_path:
raise RuntimeError("llama-server binary not found!")
print("Downloading GGUF files...")
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(
repo_id="unsloth/gemma-4-26B-A4B-it-qat-GGUF",
filename="gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf"
)
draft_path = hf_hub_download(
repo_id="unsloth/gemma-4-26B-A4B-it-qat-GGUF",
filename="mtp-gemma-4-26B-A4B-it.gguf"
)
binary_dir = os.path.dirname(os.path.abspath(binary_path))
env = os.environ.copy()
env["LD_LIBRARY_PATH"] = f"{binary_dir}:{env.get('LD_LIBRARY_PATH', '')}"
cmd = [
binary_path,
"-m", model_path,
"--port", "8000",
"--host", "0.0.0.0",
"-t", "16",
"-tb", "16",
"--spec-draft-model", draft_path,
"--spec-type", "draft-mtp",
"--spec-draft-n-max", "3"
]
print("Launching llama-server on port 8000...")
llama_process = subprocess.Popen(cmd, env=env)
time.sleep(5)
print("Starting Cloudflare tunnel...")
cf_process, tunnel_url = start_tunnel(8000)
with gr.Blocks() as demo:
gr.Markdown("# Gemma 4 26B")
if tunnel_url:
gr.HTML(f"""
<div style="margin-bottom: 15px; display: flex; gap: 10px; align-items: center;">
<a href="{tunnel_url}" target="_blank" style="
display: inline-block;
padding: 10px 20px;
background-color: #2563EB;
color: white;
text-decoration: none;
border-radius: 6px;
font-weight: 600;
font-size: 14px;
transition: background-color 0.2s;
" onmouseover="this.style.backgroundColor='#1D4ED8'" onmouseout="this.style.backgroundColor='#2563EB'">
🗪 Open Full Chat (llama.cpp UI)
</a>
<span style="color: #6B7280; font-size: 12px;">Opens the backend interface in a new window</span>
</div>
""")
gr.ChatInterface(respond)
print("Launching Gradio on port 7860...")
app, _, _ = demo.launch(
server_name="0.0.0.0",
server_port=7860,
prevent_thread_lock=True
)
app.api_route("/v1/{path:path}", methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"])(make_proxy_handler("v1"))
app.api_route("/completion", methods=["POST", "OPTIONS"])(make_proxy_handler("completion"))
app.api_route("/tokenize", methods=["POST", "OPTIONS"])(make_proxy_handler("tokenize"))
app.api_route("/detokenize", methods=["POST", "OPTIONS"])(make_proxy_handler("detokenize"))
app.api_route("/embedding", methods=["POST", "OPTIONS"])(make_proxy_handler("embedding"))
app.api_route("/slots", methods=["GET", "OPTIONS"])(make_proxy_handler("slots"))
app.api_route("/props", methods=["GET", "OPTIONS"])(make_proxy_handler("props"))
app.api_route("/health", methods=["GET", "OPTIONS"])(make_proxy_handler("health"))
print("Proxy endpoints registered. Waiting for processes...")
try:
llama_process.wait()
finally:
if cf_process:
cf_process.terminate()
if __name__ == "__main__":
main() |