mirror of
https://github.com/hwchase17/langchain
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68 lines
1.8 KiB
Markdown
68 lines
1.8 KiB
Markdown
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# plate-chain
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This template enables parsing of data from laboratory plates.
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In the context of biochemistry or molecular biology, laboratory plates are commonly used tools to hold samples in a grid-like format.
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This can parse the resulting data into standardized (e.g., JSON) format for further processing.
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## Environment Setup
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Set the `OPENAI_API_KEY` environment variable to access the OpenAI models.
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## Usage
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To utilize plate-chain, you must have the LangChain CLI installed:
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```shell
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pip install -U langchain-cli
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```
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Creating a new LangChain project and installing plate-chain as the only package can be done with:
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```shell
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langchain app new my-app --package plate-chain
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```
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If you wish to add this to an existing project, simply run:
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```shell
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langchain app add plate-chain
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```
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Then add the following code to your `server.py` file:
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```python
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from plate_chain import chain as plate_chain
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add_routes(app, plate_chain, path="/plate-chain")
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```
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(Optional) For configuring LangSmith, which helps trace, monitor and debug LangChain applications, use the following code:
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```shell
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export LANGCHAIN_TRACING_V2=true
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export LANGCHAIN_API_KEY=<your-api-key>
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export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
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```
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If you're in this directory, you can start a LangServe instance directly by:
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```shell
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langchain serve
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```
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This starts the FastAPI app with a server running locally at
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[http://localhost:8000](http://localhost:8000)
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All templates can be viewed at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs)
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Access the playground at [http://127.0.0.1:8000/plate-chain/playground](http://127.0.0.1:8000/plate-chain/playground)
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You can access the template from code with:
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```python
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from langserve.client import RemoteRunnable
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runnable = RemoteRunnable("http://localhost:8000/plate-chain")
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``` |