Spaces:
Paused
Paused
| import flask | |
| import base64 | |
| import tempfile | |
| import traceback | |
| import os | |
| from flask import Flask, Response, stream_with_context | |
| from inference import OmniInference | |
| from gemma3n_inference import Gemma3nInference | |
| class OmniChatServer(object): | |
| def __init__(self, ip='0.0.0.0', port=60808, run_app=True, | |
| ckpt_dir='./checkpoint', device='cuda:0', use_gemma3n=True) -> None: | |
| server = Flask(__name__) | |
| # CORS(server, resources=r"/*") | |
| # server.config["JSON_AS_ASCII"] = False | |
| self.use_gemma3n = use_gemma3n | |
| if self.use_gemma3n: | |
| print("Initializing Gemma 3n backend...") | |
| try: | |
| self.client = Gemma3nInference(device) | |
| except Exception as e: | |
| print(f"Failed to load Gemma 3n, falling back to original model: {e}") | |
| self.use_gemma3n = False | |
| self.client = OmniInference(ckpt_dir, device) | |
| else: | |
| print("Initializing original Omni backend...") | |
| self.client = OmniInference(ckpt_dir, device) | |
| self.client.warm_up() | |
| server.route("/chat", methods=["POST"])(self.chat) | |
| if run_app: | |
| server.run(host=ip, port=port, threaded=False) | |
| else: | |
| self.server = server | |
| def chat(self) -> Response: | |
| req_data = flask.request.get_json() | |
| try: | |
| data_buf = req_data["audio"].encode("utf-8") | |
| stream_stride = req_data.get("stream_stride", 4) | |
| max_tokens = req_data.get("max_tokens", 2048) | |
| if self.use_gemma3n: | |
| # Use Gemma 3n inference | |
| audio_response = self.client.process_audio_stream(data_buf) | |
| def generate_chunks(): | |
| # Stream the audio response in chunks | |
| chunk_size = 4096 | |
| for i in range(0, len(audio_response), chunk_size): | |
| yield audio_response[i:i + chunk_size] | |
| return Response(stream_with_context(generate_chunks()), mimetype="audio/wav") | |
| else: | |
| # Use original inference | |
| data_buf = base64.b64decode(data_buf) | |
| with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f: | |
| f.write(data_buf) | |
| audio_generator = self.client.run_AT_batch_stream(f.name, stream_stride, max_tokens) | |
| return Response(stream_with_context(audio_generator), mimetype="audio/wav") | |
| except Exception as e: | |
| print(traceback.format_exc()) | |
| # CUDA_VISIBLE_DEVICES=1 gunicorn -w 2 -b 0.0.0.0:60808 'server:create_app()' | |
| def create_app(): | |
| server = OmniChatServer(run_app=False) | |
| return server.server | |
| def serve(ip='0.0.0.0', port=60808, device='cuda:0', use_gemma3n=True): | |
| OmniChatServer(ip, port=port, run_app=True, device=device, use_gemma3n=use_gemma3n) | |
| if __name__ == "__main__": | |
| import fire | |
| fire.Fire(serve) | |