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  # Gupshup
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  GupShup: Summarizing Open-Domain Code-Switched Conversations EMNLP 2021
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  Paper: [https://aclanthology.org/2021.emnlp-main.499.pdf](https://aclanthology.org/2021.emnlp-main.499.pdf)
 
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  ### Dataset
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  Please request for the Gupshup data using [this Google form](https://docs.google.com/forms/d/1zvUk7WcldVF3RCoHdWzQPzPprtSJClrnHoIOYbzaJEI/edit?ts=61381ec0).
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  ```
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- ### In Google collaboratory
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- Please create a copy of this [Notebook on Google colab](https://colab.research.google.com/drive/16PI8Fqivzr8ScgQrs05y_kL6Qzqi7BBe#scrollTo=jNjGTzPb5eV_) or upload `gupshup_notebook.ipynb` on google collab and follow the instructions in it.
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- ### Streamlit UI
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- 1. Clone this repo and Create a python virtual environment (https://docs.python.org/3/library/venv.html). Install the required packages using
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- ```
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- git clone https://github.com/midas-research/gupshup.git
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- pip install -r requirements.txt
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- ```
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- 2. use Streamlit UI to make inferences from the choice of your models and tasks. To start the Streamlit Server:
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- ```
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- streamlit run app.py
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- ```
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- ![Image of Streamlit App](https://github.com/midas-research/gupshup/blob/main/images/emnlp-conversation.png)
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  Please create an issue if you are facing any difficulties in replicating the results.
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  # Gupshup
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  GupShup: Summarizing Open-Domain Code-Switched Conversations EMNLP 2021
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  Paper: [https://aclanthology.org/2021.emnlp-main.499.pdf](https://aclanthology.org/2021.emnlp-main.499.pdf)
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+ Github: [https://github.com/midas-research/gupshup](https://github.com/midas-research/gupshup)
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  ### Dataset
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  Please request for the Gupshup data using [this Google form](https://docs.google.com/forms/d/1zvUk7WcldVF3RCoHdWzQPzPprtSJClrnHoIOYbzaJEI/edit?ts=61381ec0).
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  ```
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  Please create an issue if you are facing any difficulties in replicating the results.
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