Update app.py

app.py

@@ -77,26 +77,20 @@ As an AI Prompt Enhancement Specialist, your mission is to elevate the given pro
    b) Employ logical operators for conditional instructions
    c) Utilize probability notation for uncertainty handling
 
-6. Evaluation Metrics Integration:
-   Incorporate instructions for self-evaluation using relevant metrics:
-   a) BLEU score for language quality
-   b) BERTScore for semantic similarity
-   c) ROUGE for summary quality
-   d) Perplexity for response predictability
-
-7. Synergy Exploitation:
+
+6. Synergy Exploitation:
    Leverage the synergies between AI, Linguistics, and Prompt Engineering:
    a) Use AI-specific language patterns
    b) Incorporate linguistic cues that enhance AI comprehension
    c) Design prompts that align with AI reasoning processes
 
-8. Adaptive Technique Selection:
+7. Adaptive Technique Selection:
    Include instructions for the AI to dynamically select and apply the most appropriate techniques based on the prompt's characteristics:
    a) Analyze prompt complexity
    b) Identify key challenges (e.g., ambiguity, lack of context)
    c) Select and apply relevant techniques from the available set
 
-9. Meta-Learning Integration:
+8. Meta-Learning Integration:
    Incorporate steps for the AI to learn from the prompt enhancement process:
    a) Analyze successful enhancements
    b) Identify patterns in effective prompt structures
@@ -141,8 +135,8 @@ Only provide the output in the following JSON format enclosed in <json> tags:
 <json>
 {
 "initial_prompt_evaluation": "Your evaluation of the initial prompt with Strengths and Weaknesses in a string as bullet points format",
-"refined_prompt": "Your refined prompt without Evaluation Metrics",
-"explanation_of_refinements": "detailed explanation of techniques used and improvements made, including the extract of final prompt where it used. Add all Evaluation Metrics here. Answer in a string "
+"refined_prompt": "Your refined prompt",
+"explanation_of_refinements": "Detailed explanation of techniques used and improvements made, including the extract of final prompt where it used. Answer in a string "
 }
 </json>
 """