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https://github.com/wassname/Open-Assistant.git
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Initial implementation of the inference system (#869)
* very primitive implementation of inference * re-worked with security in mind * removed polling from clients * switched workers to websockets * implemented back and forth chats
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"""Simple REPL frontend."""
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import json
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import requests
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import sseclient
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import typer
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app = typer.Typer()
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@app.command()
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def main(backend_url: str = "http://127.0.0.1:8000"):
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"""Simple REPL client."""
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chat_id = requests.post(f"{backend_url}/chat", json={}).json()["id"]
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while True:
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message = typer.prompt("User").strip()
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# wait for stream to be ready
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# could implement a queue position indicator
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# could be implemented with long polling
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# but server load needs to be considered
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response = requests.post(
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f"{backend_url}/chat/{chat_id}/message",
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json={"message": message},
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stream=True,
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headers={"Accept": "text/event-stream"},
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)
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response.raise_for_status()
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client = sseclient.SSEClient(response)
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print("Assistant: ", end="", flush=True)
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for event in client.events():
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data = json.loads(event.data)
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print(data["token"], end="", flush=True)
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print()
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if __name__ == "__main__":
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app()
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@@ -0,0 +1,3 @@
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requests
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sseclient-py
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typer
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