| Name | llama-index-packs-streamlit-chatbot JSON |
| Version |
0.4.0
JSON |
| download |
| home_page | None |
| Summary | llama-index packs streamlit_chatbot integration |
| upload_time | 2024-11-18 01:32:42 |
| maintainer | carolinedlu |
| docs_url | None |
| author | Your Name |
| requires_python | !=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*,>=3.9 |
| license | MIT |
| keywords |
chatbot
snowflake
streamlit
wikipedia
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Steamlit Chatbot Pack
Build a chatbot powered by LlamaIndex that augments an LLM with the contents of Snowflake's Wikipedia page (or your own data).
- Takes user queries via Streamlit's `st.chat_input` and displays both user queries and model responses with `st.chat_message`
- Uses LlamaIndex to load and index data and create a chat engine that will retrieve context from that data to respond to each user query
- UI will stream each answer from the LLM
## CLI Usage
You can download llamapacks directly using `llamaindex-cli`, which comes installed with the `llama-index` python package:
```bash
pip install llama-index
```
```bash
llamaindex-cli download-llamapack StreamlitChatPack --download-dir ./streamlit_chatbot_pack
```
You can then inspect the files at `./streamlit_chatbot_pack` and use them as a template for your own project!
To run the app directly, use in your terminal:
```bash
export OPENAI_API_KEY="sk-..."
streamlit run ./streamlit_chatbot_pack/base.py
```
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