removed warning

Author: shahules786

nbs/metric/discrete.ipynb

@@ -91,7 +91,16 @@
      "output_type": "stream",
      "text": [
       "med\n",
-      "The response 'this is my response' is somewhat helpful because it acknowledges receipt or presence of a response but lacks specific information or relevance that would make it more beneficial or informative.\n"
+      "The given input \"this is my response\" is too vague to provide a comprehensive evaluation.\n",
+      "\n",
+      "Positives:\n",
+      "1. Clear Statement: It's a straightforward indication that a response has been provided.\n",
+      "\n",
+      "Negatives:\n",
+      "1. Lack of Context: Without context or additional information, it's impossible to assess the relevance or accuracy of the response.\n",
+      "2. No Specificity: The response doesn't convey any specific information or insight related to a topic or question.\n",
+      "\n",
+      "If this response was intended to be part of a conversation or instruction, more detail would be required to make it highly effective. At present, it serves as a neutral statement without actionable or informative content.\n"
      ]
     }
    ],
@@ -134,16 +143,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "None\n",
-      "Error executing metric new_metric: MetricResult.__init__() got an unexpected keyword argument 'traces'\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/ww/sk5dkfhn673234cmy5w7008r0000gn/T/ipykernel_31199/2702091914.py:15: PydanticDeprecatedSince20: The `dict` method is deprecated; use `model_dump` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.10/migration/\n",
-      "  traces['output'] = response.dict()\n"
+      "low\n",
+      "The prompt 'my response' does not provide sufficient information or context for me to evaluate its helpfulness. An answer needs to be specific and provide insight or information relative to a clear question or context.\n"
      ]
     }
    ],
@@ -162,7 +163,7 @@
     "        traces = {}\n",
     "        traces['input'] = kwargs\n",
     "        response = llm.generate(prompt.format(**kwargs),response_model=response_model)\n",
-    "        traces['output'] = response.dict()\n",
+    "        traces['output'] = response.model_dump()\n",
     "        total = sum(response.output)\n",
     "        if total < 1:\n",
     "            score = 'low'\n",