Update app.py

app.py

@@ -16,7 +16,7 @@ MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
 
 DESCRIPTION = """\
 # ✨Storytell AI🧑🏽‍💻
-Welcome to the **Storytell AI** space, crafted with care by Ranam & George. Dive into the world of educational storytelling with our [Storytell](https://huggingface.co/ranamhamoud/storytell) model. This iteration of the Llama 2 model with 7 billion parameters is fine-tuned to generate educational stories that engage and educate. Enjoy a journey of discovery and creativity—your storytelling lesson begins here!
+Welcome to the **Storytell AI** space, crafted with care by Ranam & George. Dive into the world of educational storytelling with our [Storytell](https://huggingface.co/ranamhamoud/storytell) model. This iteration of the Llama 2 model with 7 billion parameters is fine-tuned to generate educational stories that engage and educate. Enjoy a journey of discovery and creativity—your storytelling lesson begins here! You can prompt this model to explain any computer science concept. **Please check the examples below**. 
 """
 
 
@@ -51,16 +51,16 @@ class Story(Document):
     story_id = SequenceField(primary_key=True)
     
 def make_prompt(entry):
-    return f"TELL A STORY,RELATE TO COMPUTER SCIENCE,INCLUDE ONE TECHNICAL MCQ, ONE TECHNICAL OPEN ENDED AND ONE FILL IN THE BLANK, DON'T USE THE FOLLOWING WORDS: VIBRANT, MAYA, TOWN, MAGIC. MAKE IT REALISTIC AND AROUND 800 WORDS: {entry} "
+    return f"TELL A STORY,RELATE TO COMPUTER SCIENCE,INCLUDE ASSESMENTS. MAKE IT REALISTIC AND AROUND 800 WORDS: {entry} "
     
 @spaces.GPU
 def generate(
     message: str,
     chat_history: list[tuple[str, str]],
     max_new_tokens: int = 1024,
-    temperature: float = 0.6, 
-    top_p: float = 0.9,  
-    top_k: int = 40,  
+    temperature: float = 0.1, 
+    top_p: float = 0.6,  
+    top_k: int = 20,  
     repetition_penalty: float = 1.0,
 ) -> Iterator[str]:
     conversation = []
@@ -108,7 +108,8 @@ chat_interface = gr.ChatInterface(
     stop_btn=None,
     examples=[
         ["Can you explain briefly to me what is the Python programming language?"],
-         ["Could you please provide an explanation about the concept of recursion?"]
+         ["Could you please provide an explanation about the concept of recursion?"],
+        ["Could you explain what a URL is?"]
     ],
 )