Update README.md

README.md

@@ -26,7 +26,7 @@ To use this model, you can load it with TensorFlow and make predictions as shown
 ```python
 import tensorflow as tf
 
-model = tf.keras.models.load_model('my_tf_model')
+model = tf.keras.models.load_model('celsius-to-fahrenheit')
 prediction = model.predict([100.0])
 print(f"Prediction for 100°C in Fahrenheit: {prediction[0][0]}")
 ```
@@ -42,6 +42,8 @@ Metrics
 The model was evaluated based on the Mean Squared Error loss during training.
 ```
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/662ccaab9d047b3700b1d4cd/aPPjPSv_W-OQfpYlnxnwB.png)
+
 ## Datasets
 The model was trained on the [prabinpanta0/celsius-to-fahrenheit](https://huggingface.co/datasets/prabinpanta0/celsius-to-fahrenheit) dataset.