Update app.py

app.py

@@ -4,17 +4,26 @@ import gradio as gr
 client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
 
 # Function to format the input into a suitable prompt for generating strict and engaging learning content
+# def format_prompt(topic, description, difficulty):
+#     prompt = (
+#         f"You are an expert educator. Generate highly engaging and educational learning content "
+#         f"strictly on the topic '{topic}', with the following description: '{description}'. "
+#         f"The content should be suitable for a '{difficulty}' difficulty level, and it should be presented in a way that helps readers clearly understand the key points. "
+#         f"Please provide the content in paragraph form, ensuring it is both informative and interesting for the learner."
+#     )
+#     return prompt
 def format_prompt(topic, description, difficulty):
     prompt = (
-        f"You are an expert educator. Generate highly engaging and educational learning content "
-        f"strictly on the topic '{topic}', with the following description: '{description}'. "
-        f"The content should be suitable for a '{difficulty}' difficulty level, and it should be presented in a way that helps readers clearly understand the key points. "
-        f"Please provide the content in paragraph form, ensuring it is both informative and interesting for the learner."
+        f"You are an expert educator. Generate highly engaging, educational, and structured content on the topic '{topic}'. "
+        f"Use the following description as context: '{description}'. "
+        f"The content should be suitable for a '{difficulty}' difficulty level and should present key points clearly and logically. "
+        f"Ensure the writing is informative, easy to follow, and captivating for the learner. "
+        f"Structure the content in well-organized paragraphs to enhance readability and understanding."
     )
     return prompt
 
 # The function to generate learning content based on the inputs
-def generate_learning_content(topic, description, difficulty, temperature=0.9, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0):
+def generate_learning_content(topic, description, difficulty, temperature=0.9, max_new_tokens=1500, top_p=0.95, repetition_penalty=1.2):
     temperature = max(float(temperature), 1e-2)  # Ensure minimum temperature
     top_p = float(top_p)