README.md

metadata

title: Meme vs Real Event Classifier
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false
license: apache-2.0

Meme vs Real Event Tweet Classifier

Streamlit demo for a fine-tuned bert-base-uncased model that classifies a tweet as a meme / low-signal post or a real-world event.

The model weights live in a separate Hugging Face model repo and are loaded at startup via transformers.AutoModelForSequenceClassification.from_pretrained.

Configure the model repo

The app reads the model id from the MODEL_ID environment variable, defaulting to Aryan047/Dynamic-event-detector. To override in the Space UI go to Settings -> Variables and secrets and set MODEL_ID to any other model repo.

Local development

pip install -r requirements.txt
streamlit run app.py

Files

• app.py - Streamlit application (single-tweet tab, batch-CSV tab)
• requirements.txt - runtime dependencies
• upload_model.py - one-shot helper to push artifacts_meme_vs_event/bert_classifier/ to a new Hugging Face model repo. Not used by the Space itself.