真没招了

app.py

@@ -15,7 +15,7 @@ MODEL_CONFIGS = {
         "filename": "llama-3.2-1b-instruct.Q4_K_M.gguf"
     },
     "3B Model (Datangtang/GGUF3B)": {
-        "repo_id": "Datangtang/GGGF3B",
+        "repo_id": "Datangtang/GGUF3B",
         "filename": "llama-3.2-3b-instruct.Q4_K_M.gguf"
     }
 }
@@ -73,12 +73,28 @@ def chat(message, history, model_choice):
     # System prompt
     conversation = "System: You are a helpful assistant.\n"
 
-    # Add last 3 messages
-    for human, assistant in history[-3:]:
-        conversation += f"User: {human}\nAssistant: {assistant}\n"
-
+    # Convert ChatInterface history (list of dicts) into text prompt
+    for msg in history[-3:]:
+        # ChatInterface format: {"role": "...", "content": "..."}
+        if isinstance(msg, dict):
+            role = msg.get("role")
+            content = msg.get("content", "")
+            if role == "user":
+                conversation += f"User: {content}\n"
+            elif role == "assistant":
+                conversation += f"Assistant: {content}\n"
+
+        # Safety: old tuple format
+        elif isinstance(msg, list) or isinstance(msg, tuple):
+            human, assistant = msg
+            conversation += f"User: {human}\n"
+            if assistant:
+                conversation += f"Assistant: {assistant}\n"
+
+    # Add current message
     conversation += f"User: {message}\nAssistant:"
 
+    # Generate model response
     response = llm(
         conversation,
         max_tokens=128,
@@ -92,7 +108,6 @@ def chat(message, history, model_choice):
 
     return response["choices"][0]["text"].strip()
 
-
 # ----------------------------------------
 # Gradio UI
 # ----------------------------------------