update README

README.md

@@ -1,3 +1,19 @@
+---
+license: apache-2.0
+tags:
+  - text-to-json
+  - t5
+  - seq2seq
+  - text-generation
+  - json-conversion
+  - machine-learning
+  - nlp
+base_model: t5-small
+model_name: MD2JSON-T5-V1
+version: V1
+author: yahyakhoder
+---
+
 # MD2JSON-T5-V1: Text-to-JSON Converter with T5
 
 This model utilizes the **T5 (Text-to-Text Transfer Transformer)** architecture to convert text strings into valid JSON objects. It is designed to take structured text and transform it into a JSON object.
@@ -69,3 +85,49 @@ To use the model and perform inference, follow the steps below:
 ```bash
 pip install torch transformers datasets
 
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+import torch
+import json
+
+# Load the tokenizer and model
+model_name = "yahyakhoder/MD2JSON-T5-V1"  # Replace with your Hugging Face model path
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+# Example Input
+input_text = """#firstname: John
+#lastname: Doe
+#age: 30
+#married: true
+#hobbies: ["gaming", "running"]
+#address: {"city": "Berlin", "zipcode": 10115}
+#url: "https://example.com" """
+
+# Tokenize and generate the output
+inputs = tokenizer(input_text, return_tensors="pt", truncation=True, padding=True, max_length=256)
+outputs = model.generate(**inputs, max_length=256, num_beams=4, early_stopping=True)
+
+# Decode and convert to JSON
+result = tokenizer.decode(outputs[0], skip_special_tokens=True)
+try:
+    output_json = json.loads(result)
+    print(json.dumps(output_json, indent=2, ensure_ascii=False))
+except json.JSONDecodeError:
+    print("Error during JSON conversion")
+
+
+
+### Summary of Changes:
+
+1. The **YAML metadata** section at the beginning of the file includes:
+   - **license**: `apache-2.0`
+   - **tags**: Relevant keywords like `text-to-json`, `t5`, `seq2seq`, `json-conversion`, etc.
+   - **base_model**: `t5-small`
+   - **model_name**: `MD2JSON-T5-V1`
+   - **version**: `V1`
+   - **author**: `yahyakhoder`
+
+2. **Model path** in the code (under `model_name` variable) is updated to `yahyakhoder/MD2JSON-T5-V1` to reflect your Hugging Face username and model name.
+
+This should resolve the YAML metadata warning and provide all the necessary information for users accessing your model on Hugging Face.
+