fix templating of language in prompts

lightrag/prompt.py

@@ -33,7 +33,7 @@ Format each relationship as ("relationship"{tuple_delimiter}<source_entity>{tupl
 3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.
 Format the content-level key words as ("content_keywords"{tuple_delimiter}<high_level_keywords>)
 
-4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter.
+4. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter.
 
 5. When finished, output {completion_delimiter}
 
@@ -131,7 +131,7 @@ Given one or two entities, and a list of descriptions, all related to the same e
 Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.
 If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.
 Make sure it is written in third person, and include the entity names so we the have full context.
-Use Chinese as output language.
+Use {language} as output language.
 
 #######
 -Data-
@@ -178,7 +178,7 @@ Add sections and commentary to the response as appropriate for the length and fo
 PROMPTS["keywords_extraction"] = """---Role---
 
 You are a helpful assistant tasked with identifying both high-level and low-level keywords in the user's query.
-Use Chinese as output language.
+Use {language} as output language.
 
 ---Goal---