update app.py

app.py

@@ -27,7 +27,8 @@ def indiQuesGrade(question, answer, role, exp):
     {{experience}}
 
     Now, generate the grading measures according to the above question, role and experience values.
-    Do not output the measures yet.
+    The grading measures must be generated as a array elements with names as the grading rubrics. They are placed between two square brackets, separated by commas.
+    Do not output the grading measures yet.
     {{~/user}}
     {{#assistant~}}
     {{gen 'grading_measures' temperature=0.7 max_tokens=150}}
@@ -41,12 +42,18 @@ def indiQuesGrade(question, answer, role, exp):
     Output the evaluation in a JSON Format with the grading measure as key and a dictionary of score and reason as value.
     The score key contains a numerical measure depicting the answer against grading measure and the reason key contains text information
     about why the answer was such given such numerical grade in the evaluation measure.
+
+    Add the key of overall score to the output JSON with a dictionary as it's value. The dictionary must have two keys, score, depecting the numerical measure
+    as a overall evaluations score, graded against a score of 5 and the other key as reason, showing a Justification Statement.
+
+    The output response must only contain a JSON File of evaluation. Do not output any additional information other than it.
     {{~/user}}
     {{#assistant~}}
-    {{gen 'evaluation' temperature=0.5 max_token=1500}}
+    {{gen 'evaluation' temperature=0.5 max_tokens=1500}}
     {{~/assistant}}
     ''', llm = evaluatorModel)
-    return evaluationSys['evaluation'], evaluationSys['grading_measures']
+    output = evaluationSys(question=question, role = role, experience = exp, answer = answer)
+    return output['evaluation'], output['grading_measures']
 k=gr.Interface(
     fn=indiQuesGrade,
     inputs=['text','text','text','text'],