Update README, add final results, add util scripts to query based on user input.

README.md

@@ -4,6 +4,15 @@ Final Dissertation Submission Repository - Future work with created dataset
 ## Dataset link
 [https://huggingface.co/datasets/WillJeynes/LLMsForDisinformationAnalysis-Dataset](https://huggingface.co/datasets/WillJeynes/LLMsForDisinformationAnalysis-Dataset)
 
+## Finetuned Model
+Tinetuning a LLM to better predict possible disinformation claims arising from world event
+
+Kind of the opposite of dataset
+
+Stats available [here](/finemodel/)
+
+Final LoRa version available here: [https://huggingface.co/WillJeynes/LLMsForDisinformationPrediction](https://huggingface.co/WillJeynes/LLMsForDisinformationPrediction)
+
 ## Graph Viz
 A way to visualise the connections between claims and trigger events
 
@@ -11,6 +20,11 @@ Visible here: [https://jillweynes.github.io/LLMsForDisinformationPrediction-Grap
 
 ## Repository Structure
 ```
+├── query_model.py                  # call final finetuned LLM from hugging face
+├── finemodel/
+|   ├── eval*.py                    # Call APIs
+|   ├── lora*.py, full.py           # Train models against dataset
+|   └── q_*.py                      # Expose trained models as API
 ├── graphviz/
 |   ├── frontend/                   # React + Parcel + react-force-graph frontend to visualise results
 |   └── processing/                 # Python scripts to generate clusters and titles