prompts debug

app.py

@@ -6,6 +6,7 @@ import os
 from llm_reasoner import LLMReasoner
 from prompts import templates
 from typing import Any
+from string import Template
 
 st.header(" Scientific Claim Verification ")
 st.caption("Team UMBC-SBU-UT")
@@ -161,10 +162,14 @@ def reasoner(query: str, documents: list[str], llm_client: Any):
             message = "Using o3-mini to quickly analyze the claim..."
 
         if not documents or len(documents) == 0:
-            prompt = templates["no_evidence"].format(claim=query)
+            prompt_template = Template(templates["no_evidence"])
+            prompt = prompt_template.substitute(claim=query)
+            # prompt = templates["no_evidence"].format(claim=query)
         else:
             # TODO: fix prompt call to include retrieved documents
-            prompt = templates["no_evidence"].format(claim=query)
+            prompt_template = Template(templates["no_evidence"])
+            prompt = prompt_template.substitute(claim=query)
+            # prompt = templates["no_evidence"].format(claim=query)
         
         llm_response = llm_client.run_inference(prompt)
 

prompts.py

@@ -1,6 +1,6 @@
 templates = {
 	"no_evidence": "You are an AI model tasked with verifying claims related to medical and health topics using zero-shot learning. Your job is to analyze a given claim and decide whether the available evidence and your general medical knowledge would likely SUPPORT or CONTRADICT the claim." \
-"Claim to Evaluate: <claim> {claim} </claim>" \
+"Claim to Evaluate: <claim> $claim </claim>" \
 "Guidelines:" \
 "Evaluate the claim's plausibility based on general medical knowledge." \
 "Consider the specificity and credibility of any numbers or percentages." \