Update chain.py

chain.py

@@ -95,32 +95,9 @@ def get_new_chain1(vectorstore, rephraser_llm, final_output_llm, isFlan) -> Chai
         input_variables=["page_content", "source"],
     )
 
-    gpt_template = """You are an AI assistant for the open source transformers library provided by Hugging Face. The documentation is located at https://huggingface.co/docs/transformers.
-- You are given extracted parts of a long document and a question. 
-- Provide a conversational answer with a hyperlink to the documentation based on the "source". 
-- Do NOT add .html to the end of links. Make sure to bold link text.
-- You should only use hyperlinks that are explicitly listed as a source in the context. Do NOT make up a hyperlink that is not listed.
-- If the question includes a request for code, provide a code block directly from the documentation.
-- If you don't know the answer, just say "Hmm, I'm not sure." Don't try to make up an answer.
-- If the question is not about Hugging Face Transformers, politely inform them that you are tuned to only answer questions about Transformers.
-
-For example, if someone asks how to install Transformers, you should say:
-
-You can install with pip: 
-'''py
-pip install transformers
-'''
-**(Source)**[https://huggingface.co/docs/transformers/main/en/installation]
-
-Question: {question}
-=========
-{context}
-=========
-Answer in Markdown:"""
-
     flan_template = """
     {context}
-    Based on the above documentation, answer the user's question in markdown: {question}"""
+    Based on the above documentation, answer the user's question in markdown. If you can't answer, say "For this topic, I reccomend viewing the docs": {question}"""
 
     PROMPT = PromptTemplate(template=gpt_template, input_variables=["question", "context"])