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| title: Journal Topic Modelling Agent | |
| emoji: π | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.12.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # π Journal Topic Modelling Agent | |
| A 5-phase agentic pipeline for academic journal topic modelling using Mistral AI. | |
| ## Features | |
| - **Phase 1** β CSV ingestion & parsing | |
| - **Phase 2** β LLM-powered topic extraction, labelling & frequency table | |
| - **Phase 3** β Title vs Abstract topic distribution comparison | |
| - **Phase 4** β PAJAIS taxonomy mapping (identifies NOVEL themes) | |
| - **Phase 5** β Auto-generated 500+ word Section 7 narrative | |
| ## Setup | |
| Add your `MISTRAL_API_KEY` as a **Space Secret** in Settings β Variables and Secrets. | |
| ## Input | |
| Upload a CSV with at least a `title` and/or `abstract` column, or use the built-in 15-paper sample. | |