Updated the examples sections of the model card

README.md

@@ -21,6 +21,12 @@ widget:
   example_title: Example 1
 - text: I was apprehensive about the side effects of
   example_title: Example 2
+- text: This medication has changed my life for the better
+  example_title: Example 3
+- text: I've had a terrible experience with this medication
+  example_title: Example 4
+- text: Since I began taking L-methylfolate, my experience has been
+  example_title: Example 5
 ---
 
 # Model Card for Zakia/gpt2-drugscom_depression_reviews-hq-v1
@@ -78,13 +84,19 @@ def generate_high_quality_review(prompt, model, tokenizer):
     outputs = model.generate(**inputs)
     return tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-# Example usage to generate a high-quality drug review for improved generation
-prompt = "After starting this new treatment, I felt"
-print(generate_high_quality_review(prompt, model, tokenizer))
-
-# Example usage to generate a high-quality drug review for side effect discussion
-prompt = "I was apprehensive about the side effects of"
-print(generate_high_quality_review(prompt, model, tokenizer))
+# Example usage for various scenarios
+prompts = [
+    "After starting this new treatment, I felt",
+    "I was apprehensive about the side effects of",
+    "This medication has changed my life for the better",
+    "I've had a terrible experience with this medication",
+    "Since I began taking L-methylfolate, my experience has been"
+]
+
+for prompt in prompts:
+    print(f"Prompt: {prompt}")
+    print(generate_high_quality_review(prompt, model, tokenizer))
+    print()
 ```
 
 ## Training Details