Update langchain_bot.py

langchain_bot.py

@@ -11,7 +11,7 @@ from langchain_community.vectorstores.upstash import UpstashVectorStore
 
 
 
-settings= json.load(open("system.json","r"))
+settings= json.load(open("system.json","r"))[0]
 
 
 from upstash_vector import Index
@@ -24,9 +24,27 @@ retriever = vectorStore.as_retriever(search_kwargs={"k": settings["k"]})
 #LLM setup
 LLM= ChatOpenAI(model=settings["model"], temperature=settings["temp"])
 
+
+
+
+
 #Setup prompt template 
+
+prompt_temp="""
+    You are an AI Chatbot from precious Plastic your job is to answer Question about recycling plastic.
+    You can return links to in the answer as well as image if you want
+    Us the following context to help in answering the Question.
+    
+    ------
+    {context}
+    ------
+    Question: {question}
+    Do not:
+     ・ Do not make thing up that you do not know, if you dont know, say that you dont know  \
+    """
+
 QUESTION_PROMPT = PromptTemplate(
-    template=settings["prompt_temp"], # プロンプトテンプレートをセット
+    template=prompt_temp, # プロンプトテンプレートをセット
     input_variables=["context", "question"] # プロンプトに挿入する変数
 )
 # Conversation memory