Update app.py

app.py

@@ -12,7 +12,6 @@ HF_API_KEY = os.getenv("HF_API_KEY")
 
 # Model endpoints configuration
 MODEL_ENDPOINTS = {
-    "DeepSeek-R1": "https://api-inference.huggingface.co/models/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
     "Qwen2.5-72B-Instruct": "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-72B-Instruct",
     "Llama3.3-70B-Instruct": "https://api-inference.huggingface.co/models/meta-llama/Llama-3.3-70B-Instruct",
     "Qwen2.5-Coder-32B-Instruct": "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-Coder-32B-Instruct",
@@ -27,22 +26,35 @@ def query_model(model_name: str, messages: List[Dict[str, str]]) -> Generator[st
     
     # Model-specific prompt formatting with full history
     model_prompts = {
-        "DeepSeek-R1": (
-            f"<|im_start|>system\nProvide foundational analysis of:\n{conversation}<|im_end|>\n"
-            "<|im_start|>assistant\nFoundational perspective:"
+        "Qwen2.5-Coder-32B-Instruct": (
+            "<system>Technical Expert</system>\n"
+            "<conversation>\n{conversation}</conversation>\n"
+            "<instructions>\n"
+            "1. Provide technical implementation details\n"
+            "2. Identify potential edge cases\n"
+            "3. Suggest code snippets where applicable\n"
+            "Format: <technical>{response}</technical>"
+            "</instructions>\n"
         ),
         "Qwen2.5-72B-Instruct": (
-            f"<|im_start|>system\nCollaborate with other experts. Previous discussion:\n{conversation}<|im_end|>\n"
-            "<|im_start|>assistant\nMy analysis:"
+            "<system>Analytical Expert</system>\n"
+            "<conversation>\n{conversation}</conversation>\n"
+            "<instructions>\n"
+            "1. Analyze technical suggestions\n"
+            "2. Highlight strengths/weaknesses\n" 
+            "3. Propose alternative approaches\n"
+            "Format: <analysis>{response}</analysis>"
+            "</instructions>\n"
         ),
         "Llama3.3-70B-Instruct": (
-            "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n"
-            f"Build upon this discussion:\n{conversation}<|eot_id|>\n"
-            "<|start_header_id|>assistant<|end_header_id|>\nMy contribution:"
-        ),
-        "Qwen2.5-Coder-32B-Instruct": (
-            f"<|im_start|>system\nTechnical discussion context:\n{conversation}<|im_end|>\n"
-            "<|im_start|>assistant\nTechnical perspective:"
+            "<system>Integration Expert</system>\n"
+            "<conversation>\n{conversation}</conversation>\n"
+            "<instructions>\n"
+            "1. Synthesize previous contributions\n"
+            "2. Resolve conflicting suggestions\n"
+            "3. Present final integrated solution\n"
+            "Format: <synthesis>{response}</synthesis>"
+            "</instructions>\n"
         )
     }
 
@@ -87,8 +99,8 @@ def respond(message: str, history: List[List[str]], session_id: str) -> Generato
     })
 
     # Model responses
-    model_names = ["DeepSeek-R1", "Qwen2.5-Coder-32B-Instruct", "Qwen2.5-72B-Instruct", "Llama3.3-70B-Instruct"]
-    model_colors = ["🔴", "🔵", "🟣", "🟡"]
+    model_names = ["Qwen2.5-Coder-32B-Instruct", "Qwen2.5-72B-Instruct", "Llama3.3-70B-Instruct"]
+    model_colors = ["🔵", "🟣", "🟡"]
     responses = {}
 
     # Initialize responses