From 8f0cee9af6bbe642110cdb72e7e8236d268be0b5 Mon Sep 17 00:00:00 2001 From: Dahai Peng Date: Wed, 14 Aug 2024 13:17:49 +0800 Subject: [PATCH] add upload file feature --- apps/datascience_assistant/README.md | 18 ++++++++++++------ apps/datascience_assistant/app.py | 16 ++++++++++++++-- .../data_science_assistant_streamlit_1.png | Bin 403836 -> 275867 bytes .../data_science_assistant_streamlit_4.png | Bin 0 -> 454513 bytes 4 files changed, 26 insertions(+), 8 deletions(-) create mode 100644 resources/data_science_assistant_streamlit_4.png diff --git a/apps/datascience_assistant/README.md b/apps/datascience_assistant/README.md index 961ce0d8..dc1f739d 100644 --- a/apps/datascience_assistant/README.md +++ b/apps/datascience_assistant/README.md @@ -6,21 +6,27 @@ Detailed information can be found in the [documentation](../../docs/source/agent ## Quick Start Streamlit is a Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. -To run the DS Assistant in streamlit, you need to install the Streamlit library. You can install it using pip: +To run the DS Assistant in streamlit, you need to install additional libraries. You can install it using pip: ```bash -pip install streamlit streamlit-jupyter +pip install streamlit mistune matplotlib nbconvert ``` -Then, you need to set + Then, you can run the DS Assistant using the following command: ```bash -streamlit run app.py +cd ../../ +streamlit run ./apps/datascience_assistant/app.py ``` After running the command, a new tab will open in your default web browser with the DS Assistant running. -The following are screenshots of the DS Assistant running in the browser: +you can upload your dataset and write your request. ![img_2.png](../../resources/data_science_assistant_streamlit_1.png) -you can view all of the codes and in streamlit + +After submitting your request, DS Assistant will automatically generate a plan for this request. +![img_2.png](../../resources/data_science_assistant_streamlit_4.png) + +After that, DS Assistant will automatically excute every task, you can view all of the codes and details in streamlit ![img_3.png](../../resources/data_science_assistant_streamlit_2.png) + After you have finished using the DS Assistant, you can directly convert the running process to a pdf ![img_5.png](../../resources/data_science_assistant_streamlit_3.png) diff --git a/apps/datascience_assistant/app.py b/apps/datascience_assistant/app.py index e590a1a6..d410c904 100644 --- a/apps/datascience_assistant/app.py +++ b/apps/datascience_assistant/app.py @@ -1,10 +1,14 @@ import os +import sys import streamlit as st from modelscope_agent.agents.data_science_assistant import DataScienceAssistant from modelscope_agent.tools.metagpt_tools.tool_recommend import \ TypeMatchToolRecommender +current_dir = os.path.dirname(os.path.abspath(__file__)) +project_root_path = os.path.abspath(os.path.join(current_dir, '../../')) +sys.path.append(project_root_path) llm_config = { 'model': 'qwen2-72b-instruct', 'model_server': 'dashscope', @@ -17,7 +21,15 @@ st.write( 'This is a data science assistant that can help you with your data science tasks.' ) -st.write('Please input your request below and click the submit button.') -user_request = st.text_input('User Request') +st.write( + 'Please input your request and upload files then click the submit button.') + +files = st.file_uploader( + 'Please upload files that you need. ', accept_multiple_files=True) +last_file_name = '' +user_request = st.text_area('User Request') if st.button('submit'): + for file in files: + with open(file.name, 'wb') as f: + f.write(file.getbuffer()) data_science_assistant.run(user_request=user_request, streamlit=True) diff --git a/resources/data_science_assistant_streamlit_1.png b/resources/data_science_assistant_streamlit_1.png index e98b56c4a02bd4981200471463250566c531d264..7dc423e6d8368b898c21cba54ffb90d7c31dd49a 100644 GIT binary patch literal 275867 zcmb@udt8%Owm;k%ZSm4d(SsB%(2AB;6sjqMgoM-zMx_OBTmq7K!>Cwsgb8bt(@B)h5Ts2vIXzG_ufZaw}kI}@4dO@@4feX#k>!|kBR&UJp+DSrq6wpP85m)!O!adK+Lu6x}5U4UwBq%a<~Rp$HG;I8Xi| z5#ook|D6B2>1>5g2yB#x@y0{4rCnQN1qY!mq2DIsc+b*(WWqO_KDF;6s z^5=hXD%Z}mGv+x}GH_dE_F~HRm(_BgBwvaH#;~}L8oFv6`Ma(t=_zpRwxktmY*c)s z?JCmpJG@xlpGfIaYDKH!u|ji~FTZO_HDKd-AE8H5?;!TU)$;GFA`jZT=Bo>RbXyRw zg_aUxCoROzZ=S2}3Skk-i$c)wYb=rP+B7B2=*Pj@OTNOLZ4NV{LR=T`Gv38}J z*HsAOiuN)>7v 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