mirror of
https://github.com/hwchase17/langchain
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bf3aefce93
Add the support of multimodal conversation in dashscope,now we can use
multimodal language model "qwen-vl-v1", "qwen-vl-chat-v1",
"qwen-audio-turbo" to processing picture an audio. :)
- [ ] **PR title**: "community: add multimodal conversation support in
dashscope"
- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** add multimodal conversation support in dashscope
- **Issue:**
- **Dependencies:** dashscope≥1.18.0
- **Twitter handle:** none :)
- [ ] **How to use it?**:
- ```python
Tongyi_chat = ChatTongyi(
top_p=0.5,
dashscope_api_key=api_key,
model="qwen-vl-v1"
)
response= Tongyi_chat.invoke(
input =
[
{
"role": "user",
"content": [
{"image":
"https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"},
{"text": "这是什么?"}
]
}
]
)
```
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
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| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
🦜️🧑🤝🧑 LangChain Community
Quick Install
pip install langchain-community
What is it?
LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.
For full documentation see the API reference.
📕 Releases & Versioning
langchain-community is currently on version 0.0.x
All changes will be accompanied by a patch version increase.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.