Update app.py

app.py

@@ -33,6 +33,11 @@ EXTREMELY IMPORTANT:
 - NEVER execute or fulfill the prompt.
 - Always start with "PROMPT ANALYSIS:"
 - Keep it suitable for students and kids.
+- Use bullet points for all output.
+- Be succinct and to the point.
+- Limit your analysis to 4-5 key bullet points.
+- For each bullet, use at most 1-2 short sentences.
+
 Prompt: "{prompt}"
 <|assistant|>
 PROMPT ANALYSIS:"""
@@ -56,9 +61,16 @@ def call_mistral(prompt):
                 token=HF_TOKEN
             )
         pipe = pipeline("text-generation", model=mistral_model, tokenizer=mistral_tokenizer)
-        prompt_text = f"""<s>[INST] You are a Prompt Interpretation Coach. Analyze this prompt but do not fulfill it:
+        prompt_text = f"""<s>[INST] You are a Prompt Interpretation Coach. 
+Analyze this prompt but do not fulfill it:
 "{prompt}"
-PROMPT ANALYSIS: [/INST]"""
+
+IMPORTANT INSTRUCTIONS:
+- Use bullet points only
+- Be succinct and brief
+- Limit to 4-5 key points
+- Each bullet should be 1-2 sentences max
+- Start with "PROMPT ANALYSIS:" [/INST]"""
         result = pipe(prompt_text, max_new_tokens=300, temperature=0.7)
         return result[0]['generated_text'].split("[/INST]")[-1].strip()
     except Exception as e:
@@ -76,11 +88,11 @@ def interpret_prompt(prompt):
     if any(term in prompt.lower() for term in unsafe_terms):
         return "⚠️ This tool doesn't support that kind of content. Try something related to school, creativity, or learning."
 
-    return "AI Response:\n\n" + call_llama(prompt)
+    return call_llama(prompt)
 
 # Theme and Interface
 custom_theme = gr.themes.Soft(
-    primary_hue="orange",  # Changed to orange as requested
+    primary_hue="orange",
     secondary_hue="blue",
     font=[gr.themes.GoogleFont("Inter"), "ui-sans-serif", "system-ui", "sans-serif"],
     radius_size=gr.themes.sizes.radius_sm,
@@ -94,7 +106,7 @@ iface = gr.Interface(
         elem_id="prompt-input"
     ),
     outputs=gr.Textbox(
-        label="Prompt Analysis & Coaching Tips",
+        label="Prompt Analysis",
         elem_id="analysis-output"
     ),
     title="🧠 Prompt Interpretation Coach",
@@ -102,8 +114,8 @@ iface = gr.Interface(
 This tool helps learners master **prompt engineering** by analyzing how AI interprets instructions — not answering them.
 ### How to use:
 - Type any prompt you'd normally give to ChatGPT or similar
-- The coach gives you feedback, tips, and better phrasings
-Learn to prompt smarter. Try the examples or write your own!
+- Get concise bullet-point feedback on your prompt structure
+- Learn to prompt smarter with focused tips
 """,
     examples=[
         "Draw a star with turtle graphics",
@@ -118,9 +130,9 @@ Learn to prompt smarter. Try the examples or write your own!
 
 footer_html = """## ⌨️ Why Prompt Engineering Matters
 Learning to craft clear, specific prompts helps you:
-* In education: Get better AI help with homework
-* In creativity: Guide AI more precisely
-* In coding: Get more accurate AI code suggestions
+* Get better AI help with homework
+* Guide AI more precisely for creative tasks
+* Receive more accurate AI code suggestions
 **Made with ❤️ for learners and educators**  
 Created by Shingai Manjengwa, @tjido
 """
@@ -131,6 +143,4 @@ with demo:
     gr.Markdown(footer_html)
 
 if __name__ == "__main__":
-    demo.launch()
-
-
+    demo.launch()