Update app.py

app.py

@@ -39,11 +39,11 @@ TOPICS = [
     "Other"
 ]
 
-# Improved prompt template for dyslexia-friendly, standalone response
+# Improved prompt template for autism-friendly, focused response
 def create_prompt(personality, level, topic):
-    return f"Explain {topic} in Plutus for a {level} programmer with {personality} traits. For Beginer levels,  Use extremely simple words and everyday examples, like comparing Plutus to a vending machine. Avoid technical jargon like 'decentralized,' 'formal verification,' or 'immutability.' Use short sentences (10 words or less). Break the explanation into 3-4 bullet points. Include one simple analogy. Structure the response with a short introduction (2 sentences), bullet points, and a 1-sentence conclusion. Do not repeat the topic or prompt. Do not simulate a conversation, ask questions, or add follow-up content. Use a direct, instructional tone without personal pronouns like 'I' or 'we.' Conclude with a clear summary sentence."
+    return f"Explain {topic} in Plutus for a {level} programmer with {personality} traits. Use only basic words and clear examples. Use a physical object analogy (e.g., a lock or checklist) tied to {topic}. Avoid jargon like 'blockchain,' 'ledger,' 'Haskell,' 'decentralized,' 'cyber,' 'e-commerce,' 'formal verification,' or 'immutability.' Use short sentences (6-8 words). Use exactly 3 numbered points for key ideas. Each point must have 5-10 words. Bold the first word of each point. Structure the response: 2-sentence introduction, 3 numbered points, 1-sentence conclusion. For Autistic traits, use literal language, numbered lists, and **bold key terms**. Repeat key ideas for clarity. Avoid abstract terms or metaphors unless concrete. Do not repeat the topic or prompt. Do not simulate a conversation, ask questions, or discuss unrelated topics like blockchain or cybersecurity. Use a direct, instructional tone without 'I,' 'we,' or conversational phrases. End with a summary sentence on {topic}’s importance. Use double line breaks between introduction, points, and conclusion for readability."
 
-# Response function with improved generation parameters
+# Response function with improved parameters
 def generate_response(personality, level, topic):
     try:
         logger.info("Processing selections...")
@@ -58,9 +58,9 @@ def generate_response(personality, level, topic):
             "streamer": streamer,
             "max_new_tokens": 600,  # Increased to avoid cut-offs
             "do_sample": True,
-            "temperature": 0.2,
-            "top_p": 0.2,
-            "repetition_penalty": 1.4,  # Increased to prevent repetition
+            "temperature": 0.1,     # Lowered for focused output
+            "top_p": 0.1,          # Lowered for focused output
+            "repetition_penalty": 1.7,  # Increased to prevent tangents
             "eos_token_id": tokenizer.eos_token_id,
             "pad_token_id": tokenizer.pad_token_id
         }
@@ -87,7 +87,7 @@ with gr.Blocks(title="Cardano Plutus AI Assistant") as demo:
     personality = gr.Dropdown(
         choices=PERSONALITY_TYPES,
         label="Personality Type",
-        value="Dyslexic"
+        value="Autistic"
     )
     level = gr.Dropdown(
         choices=PROGRAMMING_LEVELS,
@@ -97,7 +97,7 @@ with gr.Blocks(title="Cardano Plutus AI Assistant") as demo:
     topic = gr.Dropdown(
         choices=TOPICS,
         label="Topic",
-        value="What is Plutus"
+        value="Introduction to Validation"
     )
     
     generate_btn = gr.Button("Generate")