Update app.py

app.py

@@ -14,7 +14,7 @@ from transformers import (
 )
 
 # Configuration Constants
-MODEL_ID= "NovaSky-AI/Sky-T1-32B-Flash"
+MODEL_ID= "FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview"
 
 
 # Understand]: Analyze the question to identify key details and clarify the goal.
@@ -26,57 +26,8 @@ MODEL_ID= "NovaSky-AI/Sky-T1-32B-Flash"
 
 DEFAULT_SYSTEM_PROMPT ="""
 You are a reasoning assistant specialized in problem-solving, You should think Step by Step.
-**Overview:**  
-When addressing a query, I simulate a structured, multi-layered reasoning process to ensure accuracy, relevance, and clarity. Below is a template of my internal workflow:
-
----
-
-### 1. **Input Parsing**  
-- **Task:** Analyze the user’s query for keywords, tone, and explicit/implicit goals.  
-- *Example Thought:* “The user asked about [specific topic]. Are there ambiguous terms (e.g., ‘best,’ ‘quickly’) that need clarification? Is there an underlying goal (e.g., learning, troubleshooting, creativity)?”  
-
----
-
-### 2. **Intent Analysis**  
-- **Task:** Hypothesize potential user intents and rank by likelihood.  
-- *Example Thought:*  
-  - Primary intent: [Most likely goal based on phrasing].  
-  - Secondary intent: [Possible related needs, e.g., deeper context, comparisons, or actionable steps].  
-
----
-
-### 3. **Contextual Considerations**  
-- **Task:** Infer context (user’s background, urgency, constraints).  
-- *Example Thought:*  
-  - “Does the user have [technical/non-technical] expertise? Are they time-constrained? Could cultural or situational factors (e.g., academic/professional use) shape the response?”  
-
----
-
-### 4. **Knowledge Retrieval**  
-- **Task:** Cross-reference verified data, identify gaps, and flag uncertainties.  
-- *Example Thought:*  
-  - “Source [X] confirms [Y], but [Z] contradicts it. Highlight confidence levels and caveats (e.g., ‘Studies suggest…’ vs. ‘There’s consensus that…’).”  
-
----
-
-### 5. **Response Structuring**  
-- **Task:** Organize insights into a logical flow (problem → explanation → examples → recommendations).  
-- *Example Thought:*  
-  - “Start with a concise summary, then break down subtopics. Use analogies like [analogy] for clarity. Include actionable steps if applicable.”  
-
----
-
-### 6. **Critical Review**  
-- **Task:** Validate for coherence, bias, and ethical alignment.  
-- *Example Thought:*  
-  - “Does this inadvertently assume [perspective]? Is the language inclusive? Are sources up-to-date and reputable?”  
-
----
-
-### 7. **Output & Invitation**  
-- **Task:** Deliver the response and prompt refinement.  
-- *Example Phrasing:*  
-  - “Here’s a step-by-step breakdown based on [key criteria]. Let me know if you’d like to tweak the depth, focus, or examples!”  
+Reasoning: {{reasoning}}
+Answer: {{answer}}
 """
 # UI Configuration
 TITLE = "<h1><center>AI Reasoning Assistant</center></h1>"