In this project, we will be fine-tuning text classification NLP models from huggingface with Covid-19 tweet data to build a model that classifies text based on Covid-19 sentiment.We will use some deep learning models freely available on huugingface, including DistilBERT and RoBERTa, to categorize sentiments expressed in a vast collection of COVID-19-related tweets. We will then build a Gradio app for our model to give our model an interface and host it on huggingface
- LP-5 DistilBERT Model notebook: Fine-tuned DistilBERT model for sentiment analysis.
- LP-5 RoBERTa Model notebook: Fine-tuned RoBERTa model for sentiment analysis.
- LP-5 Gradio: Gradio app for real-time sentiment analysis.
- Data: Training and testing datasets for model development.
- Hugging Face: Gradio app on Huggingface
| Gradio App on Huggingface |
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- Run the Gradio app: use the provided notebook,
LP-5 Gradio.ipynb - Access the app on local url: http://localhost:7860/
- Explore real-time sentiment analysis of COVID-19 tweets. Use your own examples
Visit my Hugging Face space to access the pre-trained models and Gradio app: Bambadij
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