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Fixed 1 missing line in getting_started.md #2107

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merged 3 commits into from
Mar 28, 2023
Merged

Fixed 1 missing line in getting_started.md #2107

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a38d0d9
Fixed missing line in getting_started.md
AlexTelon Mar 28, 2023
119ccc4
Missed adding the needed import as well
AlexTelon Mar 28, 2023
f3eaa1c
Removed unused imports
AlexTelon Mar 28, 2023
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7 changes: 4 additions & 3 deletions docs/getting_started/getting_started.md
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Original file line number Diff line number Diff line change
Expand Up @@ -355,13 +355,15 @@ Similar to LLMs, you can make use of templating by using a `MessagePromptTemplat
For convience, there is a `from_template` method exposed on the template. If you were to use this template, this is what it would look like:

```python
from langchain.chat_models import ChatOpenAI
from langchain.prompts.chat import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
AIMessagePromptTemplate,
HumanMessagePromptTemplate,
)

chat = ChatOpenAI(temperature=0)

template="You are a helpful assistant that translates {input_language} to {output_language}."
system_message_prompt = SystemMessagePromptTemplate.from_template(template)
human_template="{text}"
Expand All @@ -380,11 +382,10 @@ The `LLMChain` discussed in the above section can be used with chat models as we

```python
from langchain.chat_models import ChatOpenAI
from langchain import PromptTemplate, LLMChain
from langchain import LLMChain
from langchain.prompts.chat import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
AIMessagePromptTemplate,
HumanMessagePromptTemplate,
)

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