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@@ -26,7 +26,13 @@ To construct a specialized knowledge database for emerging contaminants usage cl
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  | **Invitrodb_v4.3 Database** | The core database of US EPA ToxCast, storing a large amount of biological activity data, analysis workflows, and metadata of compounds generated by high-throughput screening (HTS) |
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  ## Quick Start
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  ## System Architecture & Components
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  ### Core Databases Deployment
 
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  | **Invitrodb_v4.3 Database** | The core database of US EPA ToxCast, storing a large amount of biological activity data, analysis workflows, and metadata of compounds generated by high-throughput screening (HTS) |
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  ## Quick Start
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+ 1. Install Navicat on your computer and upload the **invitrodb_v4_3.sql** and **pubchemlite_exposomics_20251226.sql** databases.
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+ 2. Deploy Docker and Dify. Set the Docker engine according to **dockerengine_setting.txt**.
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+ 3. Create a custom tool named **sql_executor_pubchemlite_invitrodb_en** on the Dify platform. The detailed information for the schema tool is stored in **schema_tool.txt**. Note that you need to modify the URL address to your local address.
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+ 4. On the Dify platform, select Import DSL File and upload the **dify_CECs_annotating.yml**.
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+ 5. Before using this agent, you need to run Docker and the **step1_pubchemlite_invitrodb_to_dify_en.py** code. Note that in **step1_pubchemlite_invitrodb_to_dify_en.py**, the DB_CONFIGS needs to be modified to the username and password of your local SQL database.
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+ 6. Once the setup is complete, you can start running.
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+ 7. For batch queries, you can run the mini-program **step2_CECs_annotating_agent_v1.0.py**.
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  ## System Architecture & Components
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  ### Core Databases Deployment