Update app1.py

app1.py

@@ -158,7 +158,7 @@ if query:
         st.write("Extracted Context (page_content):", context)
         st.write("Number of Extracted Contexts:", len(context))
         
-        relevancy_prompt = """You are an expert judge tasked with evaluating whather the  EACH OF THE CONTEXT provided in the CONTEXT LIST is self sufficient to answer the QUERY asked.
+        relevancy_prompt = """You are an expert judge tasked with evaluating whether the  EACH OF THE CONTEXT provided in the CONTEXT LIST is self sufficient to answer the QUERY asked.
         Analyze the provided QUERY AND  CONTEXT to determine if each Ccontent in the CONTEXT LIST contains Relevant information to answer the QUERY.
         
         Guidelines:
@@ -200,4 +200,45 @@ if query:
         
         context_relevancy_checker_prompt = PromptTemplate(input_variables=["retriever_query","context"],template=relevancy_prompt)
 
+        relevant_prompt = PromptTemplate(
+            input_variables=["relevancy_response"],
+            template="""
+            Your main task is to analyze the json structure as a part of the Relevancy Response.
+            Review the Relevancy Response and do the following:-
+            (1) Look at the Json Structure content
+            (2) Analyze the 'score' key in the Json Structure content.
+            (3) pick the value of 'content' key against those 'score' key value which has 0.
+            
+            Relevancy Response:
+            {relevancy_response}
+            
+            Provide your verdict in JSON format  with a single key 'content number' and no preamble or explanation:
+            [{{"content":<content number>}}]
+            """
+        )
+        
+        context_prompt = PromptTemplate(
+            input_variables=["context_number"],
+            template="""
+            You main task is to analyze the json structure as a part of the Context Number Response and the list of Contexts provided in the 'Content List' and perform the following steps:-
+            (1) Look at the output from the Relevant Context Picker Agent.
+            (2) Analyze the 'content' key in the Json Structure format({{"content":<<content_number>>}}).
+            (3) Retrieve the value of 'content' key and pick up the context corresponding to that element from the Content List provided.
+            (4) Pass the retrieved context for each corresponing element number referred in the 'Context Number Response'
+            
+            Context Number Response:
+            {context_number}
+            
+            Content List:
+            {context}
+            
+            Provide your verdict in JSON format  with a two key 'relevant_content' and 'context_number' no preamble or explanation:
+            [{{"context_number":<content1>,"relevant_content":<content corresponing to that element 1 in the Content List>}},
+            {{"context_number":<content4>,"relevant_content":<content corresponing to that element 4 in the Content List>}},
+            ...
+            ]
+            """
+        )
+
+