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--- |
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title: Bgpt |
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emoji: 📉 |
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colorFrom: yellow |
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colorTo: green |
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sdk: streamlit |
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sdk_version: 1.19.0 |
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app_file: app.py |
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pinned: false |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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# Hosted Link: |
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https://bibekbot.streamlit.app/ |
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courses? --response later on |
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## Setup: |
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Clone the repo |
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```console |
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git clone [email protected]:bibekyess/Personal-Chatbot.git |
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cd Personal-Chatbot |
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``` |
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### Create an environment using pipenv |
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Install pipenv if not installed. [Pipenv is required to install streamlit in macOS] |
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```console |
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pip3 install pipenv |
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``` |
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Creates a new Pipenv environment using python-3.9 and activates it |
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```console |
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pipenv --python 3.9 |
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pipenv shell |
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``` |
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Installs streamlit in the recently created environment |
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```console |
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pipenv install streamlit==1.11.1 |
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``` |
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Installs the dependencies mentioned in requirements.txt file |
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```console |
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pip install -r requirements.txt |
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``` |
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Runs the b_bot app |
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```console |
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streamlit run b_bot.py |
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``` |
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# For training: |
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```console |
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python train.py |
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``` |
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This saves the checkpoint in 'data.pth' file. Then run the b_bot app |
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```console |
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streamlit run b_bot.py |
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``` |
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Reference: |
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I referred to https://github.com/patrickloeber/pytorch-chatbot for simple implementation of contextual chatbot with interactions from terminals. |
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I referred to https://github.com/AI-Yash/st-chat for the beautiful chatbot interface. |
