Update app.py

app.py

@@ -174,22 +174,12 @@ def create_conversational_rag_chain(retriever):
         verbose=False,
     )
 
-    template = """ You are an assistant for question-answering tasks**
-    **Given the context (format: dictionary) and question, provide a comprehensive answer in natural language that addresses the question directly.**
-
-    **You should not use personal opinions when answering questions; instead you must rely solely upon context**
-
-    The context contains documents with a 'page_content' field and potentially other metadata. Focus on the 'page_content' field for information retrieval.
-
-    When answering, prioritize including all relevant details from the context to support your response. Avoid yes/no answers or simple options (A, B, etc.).
-
-    **In the answer, use only English language. DO NOT ASK more questions by yourself!**
-
-    **Question:** {question}
-    **Context:** {context}
-    Answer:
+    template = """Answer the question based only on the following context:
+    {context}
+    Question: {question}
     """
-    prompt = ChatPromptTemplate.from_template(template, role='ai')
+    prompt = ChatPromptTemplate.from_template(template)
+
 
 
     rag_chain = prompt | llm | StrOutputParser()