Spaces:
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title: Native Chatbot | |
emoji: ⚡ | |
colorFrom: gray | |
colorTo: gray | |
sdk: streamlit | |
sdk_version: 1.37.1 | |
app_file: main.py | |
pinned: true | |
license: apache-2.0 | |
short_description: It helps you write and talk like a native speaker | |
# Native Chatbot | |
<p> | |
This LLM-powered chatbot was created by Langchain. It acts like a native teacher who can guide you to write and talk like a native speaker.<br/> | |
**The supported LLMs:**<br/> | |
- llama-3.1-405b-instruct (meta) | |
- gemma-2-27b-it (google) | |
- mistral-nemo-12b-instruct (nv-mistralai) | |
- nemotron-4-340b-instruct (nvidia) | |
- phi-3-medium-128k-instruct (microsoft) | |
- arctic (snowflake) | |
</p> | |
# Usage | |
1. To use <a href="https://huggingface.co./spaces/amirhoseinsedaghati/Native_Chatbot">the online version on HuggingFace</a>, just select your desired LLM, pass your question into the text area, and click on <b>Generate Answer</b>. | |
<br></br> | |
2. To use it on your local machine, clone the project from <a href="https://github.com/amirho3einsedaghati/Native_Chatbot">this URL GitHub</a> using <pre>git clone [email protected]:amirho3einsedaghati/Native_Chatbot.git</pre> fill in the .env file in the tools directory with the <a href="https://build.nvidia.com/explore/discover">NVIDIA API KEY</a>, then navigate to the Native_Chatbot directory which contains the main.py file and run the Streamlit application using the following command. <pre>streamlit run main.py</pre> | |
# License | |
<a href="https://huggingface.co./spaces/amirhoseinsedaghati/Native_Chatbot/blob/main/LICENSE">Apache-2.0</a> | |
# Appendix: | |
<a href="https://github.com/amirho3einsedaghati/Native_Chatbot">https://github.com/amirho3einsedaghati/Native_Chatbot</a> | |
# Maintainer Contact: | |
<a href="https://linktr.ee/amirhoseinsedaghati">https://linktr.ee/amirhoseinsedaghati</a> |