Update app.py

app.py

@@ -335,7 +335,7 @@ def rag_workflow(query):
     prompt = (
         f"The query is: '{query}'. "
         "Based on this query, choose the most appropriate option from the following: "
-        "'python library', 'python cli library', 'command line interface'. "
+        "'kadiAPY library"', 'kadiAPY cli library', 'kadiAPY command line'. "
         "Respond only with one of these options—do not add any additional text or commentary."
     )
     metadata_prediction = llm.predict(prompt)
@@ -349,7 +349,7 @@ def rag_workflow(query):
     doc_context = format_kadi_api_doc_context(kadi_apy_docs)
     code_context = format_kadi_apy_library_context(kadi_apy_library_docs)
 
-
+    
     # Assuming kadi_apy_library_docs is a list of Document objects
 
     print("HERE WE GHOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO")
@@ -360,6 +360,7 @@ def rag_workflow(query):
     print("::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::")
 
 
+
     
     prompt = f"""You are an expert python developer. You are assisting in generating code for users who wants to make use of "kadi-apy", an API library. 
                     "Doc-context:" provides you with information how to use this API library by givnig code examples and code documentation.