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community-contributions/biomedical-article-summariser/README.md

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+## Biomedical Article Abstract Summariser using Europe PMC + Ollama
+
+This is a simple app that demonstrates an article abstract summariser leveraging Europe PMC’s API and Ollama LLMs to generate concise summaries of biomedical literature.
+
+## 🔍 About Europe PMC (EPMC)
+Europe PMC is a free, open-access database that provides access to millions of life sciences and biomedical articles, research papers, and preprints. It is part of the PubMed Central International (PMCI) network.
+
+## Features
+
+This solution presents 2 methods: 
+1. A simple demo via a jupyter notebook
+2. An interactive demo via gradio, running on your local computer. 
+
+**Core Features:** 
+- Fetch an article’s metadata and abstract via Europe PMC’s API (using a provided PMCID).
+- Preprocess and clean the abstract text unnecessary tags e.g referenc tag or math formula.
+- Summarise abstracts into bullet points + a short paragraph using Ollama models.
+
+
+
+## 📌 How to Use
+
+- Go to [Europe PMC' website](https://europepmc.org/).
+- Use the search bar to find an open-access article by keywords, entity names, journal, or author. E.g Genes, Diseases, nutrition etc
+- Since the app currently only runs on open-access only articles, you'll need to restrict results to `open-access` only articles: add filters like `HAS_FT:Y` or `IN_EPMC:Y` to your search syntax. E.g .`"Genes: HAS_FT:Y"`
+- Select your article of interest and copy its PMCID (e.g., PMC1234567).
+
+- Run the summariser:
+  - via notebook: Paste the `PMCID` as a string in the display_response func, after running all other cells. 
+  - via gradio: 
+    - run the python script via CLI: 
+    ```python
+    python article_summariser-gradio.py
+    ```
+    - Paste the `PMCID` as you've copied it in the `Enter a **EuropePMC Article ID` textbox. 
+    - click on the `Fetch Article Abstract and generate Summary` button. 
+    **N.B**: I've observed that using `llama3.2` runs faster on my pc. You may experience some delays with all other models. Also make sure to already have ollama running via `ollama serve` on your terminal before running the script. 
+