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README.md

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+# 📌 FLAN-T5 Fine-tuned for Suggestion Generation
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on a custom dataset of YouTube comments and suggestions.  
+It generates viewer suggestions or feedback improvements based on an input comment.  
+
 ---
-pipeline_tag: text-generation
----
+
+## ✨ Model Details
+- Base model: google/flan-t5-base  
+- Task: text2text-generation (Seq2Seq)  
+- Dataset: Custom dataset (dataset.json with input and output fields)  
+- Training: 10 epochs, batch size 4, beam search decoding  
+
+---
+
+## 🚀 Usage
+
+You can use this model directly with the 🤗 Transformers pipeline:
+
+```python
+from transformers import pipeline
+
+# Load the fine-tuned model from Hugging Face
+model_id = "username/flan_t5_youtube_full"
+
+generator = pipeline("text2text-generation", model=model_id)
+
+comment = "Audio was clear and easy to understand."
+input_text = "generate suggestion: " + comment
+
+result = generator(input_text, max_length=128, num_beams=4, early_stopping=True)
+
+print("Input Comment:", comment)
+print("Generated Suggestion:", result[0]['generated_text'])