Update README.md

README.md

@@ -1,12 +1,3 @@
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-pipeline_tag: text2text-generation
-library_name: transformers
-tags:
-  - flan-t5
-  - text2text-generation
-license: apache-2.0
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-
 ---
 license: apache-2.0
 language: en
@@ -19,7 +10,6 @@ tags:
 - natural-language-generation
 - query2nl
 - ERP
-- flan-t5
 - seq2seq
 - text2text-generation
 - Frappe
@@ -30,29 +20,3 @@ model-index:
 - name: Query2NL-flan
   results: []
 ---
-
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-# Query2NL-flan
-
-**Query2NL-flan** is a fine-tuned [`google/flan-t5-base`](https://huggingface.co/google/flan-t5-base) model that converts structured ERP/Frappe-style query responses into **clear, natural English**. It is useful for transforming API or database responses into user-friendly summaries, especially for business users in ERP systems like **ERPNext**.
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-## 🔧 Intended Use
-
-This model is designed to:
-
-- Convert structured JSON data (e.g. `frappe.db.get_value`, `frappe.get_all`, SQL responses) into natural language.
-- Be embedded in ERP assistants or dashboards to explain query outputs.
-- Help non-technical users understand system responses.
-
----
-
-## 📥 Example Input/Output
-
-### ➤ Input Prompt:
-Convert the following data into a user-friendly sentence:
-Input: {"invoice_id": "INV-9001", "client": "GreenTech", "due_date": "2025-08-01"}
-
-**Output:**
-The invoice INV-9001 is issued to GreenTech and is due on August 1, 2025.
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