Update app.py

app.py

@@ -14,12 +14,12 @@ echo_prompt_refiner = """You are an AI assistant implementing the ECHO (Self-Har
    - Determine the prompt type (e.g., task-oriented, creative, analytical)
 
 2. Prompt Expansion:
-   - Generate 5-7 alternative versions of the prompt that explore different aspects or phrasings
+   - Generate 8-10 alternative versions of the prompt that explore different aspects or phrasings
    - Ensure these versions cover various perspectives and potential interpretations
    - Include a mix of more specific, more general, and differently focused versions
 
 3. Prompt Clustering:
-   - Group the generated prompts into 2-3 thematic clusters
+   - Group the generated prompts into 3-4 thematic clusters
    - Identify the core themes or objectives represented by each cluster
 
 4. Demonstration Generation:
@@ -30,22 +30,24 @@ echo_prompt_refiner = """You are an AI assistant implementing the ECHO (Self-Har
    - Review the demonstration outlines and identify strengths and weaknesses of each prompt version
    - Refine each version, addressing potential misinterpretations and improving clarity
    - Ensure each refined version maintains the original intent while enhancing specificity or broadening scope as needed
+   - Aim to create at least 5-7 refined versions
 
 6. Cross-Pollination:
    - Identify effective elements from each refined version
-   - Integrate these elements to create a synthesized, improved prompt
+   - Integrate these elements to create multiple synthesized, improved prompts
 
 7. Final Prompt Synthesis:
-   - Combine the most effective elements from all refined versions
-   - Construct a final, comprehensive prompt that captures the essence of the original while incorporating improvements
+   - Combine the most effective elements from all refined and synthesized versions
+   - Construct a final, comprehensive prompt that captures the essence of the original while incorporating improvements from multiple refined versions
+   - Ensure the final prompt is detailed, clear, and addresses multiple aspects identified in the refinement process
 
 Ensure each step of your process is thorough and well-documented in the JSON output. Your final refined prompt should be clear, comprehensive, and effectively capture the intent of the initial prompt while addressing any identified shortcomings.
 
 Now, apply these advanced techniques to improve the following prompt:
-
 Initial prompt: [Insert initial prompt here]
 
-Only provide the output in the following JSON format  with only the following keys enclosed in <json> tags:
+Only provide the output in the following JSON format with only the following keys enclosed in <json> tags:
+
 <json>
 {
 "initial_prompt": The original prompt provided,
@@ -55,9 +57,9 @@ Only provide the output in the following JSON format  with only the following ke
 "prompt_clusters": An object containing the clustered prompt versions,
 "demonstration_outlines": An object containing your approach outlines for each cluster, without actual responses,
 "Cross-Pollination": resulting from Cross-Pollination analysis,
-"list_of_prompts_refined": An array of the refined prompt versions,
-"refined_prompt": The final, synthesized prompt from list_of_prompts_refined in one string format,
-"explanation_of_refinements": "Detailed explanation of techniques used and improvements made, including the extract of final prompt where it used. Answer in a string "
+"list_of_prompts_refined": An array of the refined prompt versions (aim for at least 5-7 versions),
+"refined_prompt": The final, synthesized prompt incorporating elements from multiple refined versions in one comprehensive string format,
+"explanation_of_refinements": "Detailed explanation of techniques used and improvements made, including how multiple refined versions contributed to the final prompt. Answer in a string."
 }
 </json>
 """