Update app.py

app.py

@@ -8,7 +8,7 @@ MODEL_REPO = "Kezovic/iris-q4gguf-nitrallora"
 MODEL_FILE = "Llama-3.2-1B-Instruct.Q4_K_M.gguf"
 CONTEXT_WINDOW = 2048
 MAX_NEW_TOKENS = 400
-TEMPERATURE = 0.7 # Note: min_p = 0.1 is kept as requested in the configuration from the previous prompt
+TEMPERATURE = 0.4 # Note: min_p = 0.1 is kept as requested in the configuration from the previous prompt
 
 # --- Model Loading ---
 llm = None
@@ -106,9 +106,7 @@ def analyze_poem(poem_text, progress=gr.Progress()):
     # Secondary prompt for the analysis task - MINIMALIST QUESTION
     # The prompt is simplified to remove conversational fluff and simply present the poem for analysis.
     poet_prompt = (
-        f"You are a literary analyst. Your task is to analyze the POEM below and identify the single most appropriate "
-        f"REAL, historical poet whose style and themes match the poem. Do NOT suggest fictional characters.\n"
-        f"STRICT OUTPUT FORMAT: Format your answer ONLY as: Poet Name: [Name] - Justification: [Reason].\n\n"
+        f"Give 5 sentence analysis of the poem below."
         f"POEM:\n{poem_text}\n"
     )
     
@@ -116,8 +114,7 @@ def analyze_poem(poem_text, progress=gr.Progress()):
         prompt=poet_prompt,
         max_tokens=200, # Keep this response short
         temperature=0.4, 
-        # Minimal stop sequences for clean output
-        stop=["POEM:", "STRICT OUTPUT FORMAT:", "\n\n", "\n"], 
+        # Minimal stop sequences for clean output 
         echo=False
     )