Fix streamlit app errors

app/app.py

@@ -256,7 +256,7 @@ def main(prompt_success: bool, prompt_diff: int, actual_doc: str):
             help="Use Langchain Criteria based Eval to evaluate on cutsom criteria (this list can be updated based on what we are looking to see from the generated docs). Note this is language mo0del based evaluation and not always a true indication of the quality of the output that is generatged."
         )
 
-        lc_score = eval_using_langchain(prompt, result)
+        lc_score = eval_using_langchain(result, prompt, actual_doc)
         st.markdown(
             f"Logical: {lc_score[0]['score']}",
             help="Checks if the output is logical. Binary integer 0 to 1, where 1 would mean that the output is logical and 0 means it is not",
@@ -288,4 +288,4 @@ def main(prompt_success: bool, prompt_diff: int, actual_doc: str):
     on_submit=store_feedback,
     optional_text_label="Please tell us how we could make this more useful",
     align="flex-start",
-)
+)

app/utils.py

@@ -241,7 +241,7 @@ def indicate_key_presence(env: str) -> str:
     else:
         return ""
 
-def eval_using_langchain(prediction: str, query: str):
+def eval_using_langchain(prediction: str, query: str, actual_doc: str):
 
     evaluation = []
     llm = ChatOpenAI(model="gpt-4", temperature=0)
@@ -256,7 +256,7 @@ def eval_using_langchain(prediction: str, query: str):
 
     # 2
     evaluator = load_evaluator("labeled_criteria", llm=llm, criteria="correctness")
-    eval_result = evaluator.evaluate_strings(prediction=generated_patch, input=prompt, reference=actual_doc)
+    eval_result = evaluator.evaluate_strings(prediction=prediction, input=query, reference=actual_doc)
     evaluation.append(eval_result)
 
     # 3