mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-27 23:47:46 +00:00
@@ -72,9 +72,9 @@ You can try our demo by running the following command:
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- The `.env.example` file contains the environment variables required for users using the OpenAI API (Please note that `.env.example` is an example file. `.env` is the one that will be finally used.)
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- please refer to [Configuration](docs/build/html/installation.html#azure-openai) for the detailed explanation of the `.env`
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### 🚀 Run the Application
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- Start streamlit web app to show log traces:
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- Start web app to show log traces:
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```sh
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streamlit run rdagent/log/ui/app.py --server.port 8080 -- --log_dir <your log folder>
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rdagent ui --port 80 --log_dir <your log folder>
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```
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The [🎥demo](https://rdagent.azurewebsites.net) is implemented by the following commands:
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@@ -108,7 +108,7 @@ The [🎥demo](https://rdagent.azurewebsites.net) is implemented by the followin
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### 🚀 Monitor the Application
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- You can serve our demo app to monitor the RD loop by running the following command:
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```sh
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streamlit run rdagent/log/ui/app.py --server.port 8080 -- --log_dir <your log folder>
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rdagent ui --port 80 --log_dir <your log folder>
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```
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# Scenarios
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+1
-1
@@ -18,7 +18,7 @@ In `RD-Agent/` folder, run:
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.. code-block:: bash
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streamlit run rdagent/log/ui/app.py --server.port <port> -- --log_dir <log_dir>
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rdagent ui --port <port> --log_dir <log_dir>
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This will start a web app on `http://localhost:<port>`.
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@@ -5,6 +5,9 @@ This will
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- make rdagent a nice entry and
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- autoamtically load dotenv
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"""
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import subprocess
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from importlib.resources import path as rpath
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import fire
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from dotenv import load_dotenv
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@@ -19,6 +22,14 @@ from rdagent.app.qlib_rd_loop.model import main as fin_model
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load_dotenv()
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def ui(port=80, log_dir="./log"):
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"""
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start web app to show the log traces.
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"""
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with rpath("rdagent.log.ui", "app.py") as app_path:
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subprocess.run(["streamlit", "run", app_path, f"--server.port={port}", "--", f"--log_dir={log_dir}"])
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def app():
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fire.Fire(
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{
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@@ -27,5 +38,6 @@ def app():
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"fin_model": fin_model,
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"med_model": med_model,
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"general_model": general_model,
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"ui": ui,
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}
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)
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@@ -2,6 +2,7 @@ import argparse
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import textwrap
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from collections import defaultdict
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from datetime import datetime, timezone
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from importlib.resources import files as rfiles
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from pathlib import Path
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from typing import Callable, Type
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@@ -526,7 +527,8 @@ with st.container():
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with st.container():
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image_c, scen_c = st.columns([3, 3], vertical_alignment="center")
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with image_c:
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st.image("./docs/_static/flow.png")
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img_path = rfiles("rdagent.log.ui").joinpath("flow.png")
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st.image(str(img_path), use_column_width=True)
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with scen_c:
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st.header("Scenario Description📖", divider="violet", anchor="_scenario")
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# TODO: other scenarios
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