1. ~~groq + openai~~
2. ~~hf dataset + local dir + csv upload~~
3. generate graphs
4. generate report - tab 1/ tab 2
5. Patent Acceptance Prediction
6. Patentibility check based on Abstract + Claims
7. Abstract + Claim Summarization
8. Abstract-to-Claim and Claim-to-Abstract Generation

Questions:

- What is the trend of patent filings over time?
- What is the distribution of patents categorized as 'ACCEPTED', 'REJECTED', or 'PENDING'?
- What is the average time difference between the filing date and the patent issue date?
- What are the most common CPC labels in the dataset?
- Which examiners have reviewed the most patents?
- How does the acceptance or rejection rate vary across years?
- What is the average length of abstracts for accepted versus rejected patents?
- Which IPC labels are most associated with accepted patents?
- Are there any seasonal trends in the filing of patents?
- What is the distribution of CPC or IPC labels for patents still marked as pending?

Observation:
1. Fails when the size of the dataset is large.
2. Sometimes fails even when the dataset size is small; unreliable!