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import json
import torch
import threading
from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
from gradio import Server
from fastapi.responses import HTMLResponse
import spaces
# ── Model Setup ──────────────────────────────────────────────────────────────
MODEL_ID = "Zyphra/ZAYA1-8B"
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
MODEL_ID,
torch_dtype=torch.bfloat16,
device_map="auto",
trust_remote_code=True,
)
# ── Gradio Server ────────────────────────────────────────────────────────────
app = Server()
# ── Streaming API endpoint (generator yields cumulative text) ────────────────
@app.api()
@spaces.GPU(duration=120)
def generate(
message: str,
history: str = "[]",
system_prompt: str = "You are ZAYA1-8B, a highly capable reasoning assistant built by Zyphra. You excel at detailed long-form reasoning, mathematics, and coding. Think step by step when solving complex problems.",
temperature: float = 1.0,
top_p: float = 0.95,
max_new_tokens: int = 2048,
) -> str:
"""Stream a response from ZAYA1-8B token by token."""
hist = json.loads(history) if isinstance(history, str) else history
messages = []
if system_prompt:
messages.append({"role": "system", "content": system_prompt})
for turn in hist:
messages.append({"role": turn["role"], "content": turn["content"]})
messages.append({"role": "user", "content": message})
input_ids = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_tensors="pt"
).to(model.device)
streamer = TextIteratorStreamer(
tokenizer, skip_prompt=True, skip_special_tokens=True
)
thread = threading.Thread(
target=model.generate,
kwargs=dict(
input_ids=input_ids,
max_new_tokens=max_new_tokens,
temperature=temperature,
top_p=top_p,
top_k=50,
do_sample=True,
streamer=streamer,
),
)
thread.start()
full_text = ""
for new_text in streamer:
full_text += new_text
yield full_text
thread.join()
# ── Serve Frontend ────────────────────────────────────────────────────────────
@app.get("/")
async def homepage():
html_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "index.html")
with open(html_path, "r", encoding="utf-8") as f:
return HTMLResponse(content=f.read())
app.launch(show_error=True)
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