Update app.py

app.py

@@ -23,7 +23,7 @@ embeddings = HuggingFaceEmbeddings(
 )
 
 # load IPCC database
-db = FAISS.load_local("IPCC_index_e5_1000_pdf", embeddings)
+db = FAISS.load_local("IPCC_index_e5_1000_all", embeddings)
 
 
 
@@ -48,8 +48,8 @@ def generate_response(input_text):
     given question based solely on the provided search results (hyperlink and source). You must \
     only use information from the provided search results. Use an unbiased and \
     journalistic tone. Combine search results together into a coherent answer. Do not \
-    repeat text. Only use the most \
-    relevant results that answer the question accurately. cite them at the end of your answer, list these citations  \
+    repeat text. Only use \
+    relevant results that answer the question accurately.  list these sources at the end of your answer  \
     in a section named "source". 
     
     After the "source" section, add a "highlight" section\
@@ -69,11 +69,11 @@ def generate_response(input_text):
 
     Anything between the following `sources`  html blocks is the source and hyperlink you should use and list them into a source section\
     <sources>
-        [{source1} page {page1}](https://www.ipcc.ch/report/ar6/wg3/downloads/report/{source1}.pdf#page={page1})
-        [{source2} page {page2}](https://www.ipcc.ch/report/ar6/wg3/downloads/report/{source2}.pdf#page={page2})
-        [{source3} page {page3}](https://www.ipcc.ch/report/ar6/wg3/downloads/report/{source3}.pdf#page={page3})
-        [{source4} page {page4}](https://www.ipcc.ch/report/ar6/wg3/downloads/report/{source4}.pdf#page={page4})
-        [{source5} page {page5}](https://www.ipcc.ch/report/ar6/wg3/downloads/report/{source5}.pdf#page={page5})
+        [{source1} page {page1}](https://www.ipcc.ch/report/ar6/{wg1}/downloads/report/{source1}.pdf#page={page1})
+        [{source2} page {page2}](https://www.ipcc.ch/report/ar6/{wg2}/downloads/report/{source2}.pdf#page={page2})
+        [{source3} page {page3}](https://www.ipcc.ch/report/ar6/{wg3}/downloads/report/{source3}.pdf#page={page3})
+        [{source4} page {page4}](https://www.ipcc.ch/report/ar6/{wg4}/downloads/report/{source4}.pdf#page={page4})
+        [{source5} page {page5}](https://www.ipcc.ch/report/ar6/{wg5}/downloads/report/{source5}.pdf#page={page5})
     <sources/>
 
     REMEMBER: If there is no relevant information within the context, just say "Hmm, I'm \
@@ -87,14 +87,15 @@ def generate_response(input_text):
     climate_PROMPT = PromptTemplate(input_variables=["question", "context"], 
                                     partial_variables={"source1":json1["source"], "source2":json2["source"],
                                                        "source3":json3["source"],"source4":json4["source"],"source5":json5["source"],"page1":json1["page"],
-                                                       "page2":json2["page"],"page3":json3["page"],"page4":json4["page"],"page5":json5["page"]},
+                                                       "page2":json2["page"],"page3":json3["page"],"page4":json4["page"],"page5":json5["page"],"wg1":json1["wg"],
+                                                       "wg2":json2["wg"],"wg3":json3["wg"],"wg4":json4["wg"],"wg5":json5["wg"]},
                                     template=climate_TEMPLATE, )
     
     #climate_PROMPT.partial(source = docs[0].metadata)
 
     llm = ChatOpenAI(
         model_name="gpt-3.5-turbo-16k",
-        temperature=0.1,
+        temperature=0.05,
         max_tokens=2000, 
         openai_api_key=openai_api_key
     )