Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+tags:
+- text-classification
+- keras
+- h5-model
+- custom-model
+language:
+- en
+pipeline_tag: text-classification
+---
+
+# 🧠 Text Classification Model
+
+This repository hosts a custom-trained **text classification model** saved in Keras `.h5` format. The model is designed to classify textual inputs into one or more predefined categories.
+
+## 📦 Files Included
+
+- `text_classification_pipeline.h5` — Trained Keras model file.
+- `requirements.txt` — List of Python dependencies (TensorFlow, etc.).
+- `README.md` — This file.
+
+## 🔍 Model Details
+
+- **Framework:** TensorFlow / Keras
+- **File Format:** `.h5`
+- **Task:** Text Classification
+- **Language:** English
+- **Training:** Performed locally on custom dataset
+
+## 🚀 Usage
+
+To load and use the model:
+
+```python
+from tensorflow.keras.models import load_model
+import numpy as np
+
+# Load the model
+model = load_model("text_classification_pipeline.h5")
+
+# Example input (after preprocessing)
+# Replace with your own tokenizer/vectorizer logic
+sample_input = np.array([...])  # shape must match model input
+prediction = model.predict(sample_input)
+
+print(prediction)