langchain-compare.md•888 B
---
layout: two-cols-header
---
# Summarize: Langchain vs GenAIScript
::left::
## Python w/ langchain
- Summarize already predefined
```python
from langchain.chains.summarize import load_summarize_chain
# Split the source text
text_splitter = CharacterTextSplitter()
texts = text_splitter.split_text(source_text)
# Create Document objects for the texts (max 3 pages)
docs = [Document(page_content=t) for t in texts[:3]]
# Initialize the OpenAI module, load and run the summarize chain
llm = OpenAI(temperature=0, openai_api_key=openai_api_key)
chain = load_summarize_chain(llm, chain_type="map_reduce")
summary = chain.run(docs)
```
::right::
<v-click>
## GenAIScript
- `def` reads **multiple** file types
- Output is written to file `summarize.md`
- Prompt is the main part of the script
```js
def("FILE", env.files)
$`Write a summary of FILE in summary.md`
```
</v-click>
