changed default splitting to false

app.py

@@ -29,7 +29,8 @@ with st.sidebar:
     st.write(f"Injected documents: \n\n {'\n'.join('\n'+file for file in files)}")
     model = st.selectbox("Model name", ["gpt-3.5-turbo"], disabled=True)
     temperature = st.number_input("Temperature", value=0.0, min_value=0.0, step=0.2, max_value=1.0, placeholder=0.0)
-    if st.toggle("Splitting", value=True):
+    k = st.number_input("Number of documents to include", value=1, min_value=1, step=1, placeholder=1)
+    if st.toggle("Splitting", value=False):
         chunk_size = st.number_input("Chunk size", value=750, step=250, placeholder=750) # Defines the chunks in amount of tokens in which the files are split. Also defines the amount of tokens that are feeded into the context. 
         chunk_overlap = st.number_input("Chunk overlap", value=0, step=10, placeholder=0)
         text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)
@@ -53,7 +54,7 @@ Answer:
 """ # Source: hub.pull("rlm/rag-prompt")
 
 # (1) Retriever
-retriever = vectorstore.as_retriever()
+retriever = vectorstore.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": 0.3, "k": k})
 
 # (2) Prompt
 prompt = ChatPromptTemplate.from_template(prompt_template)
@@ -100,7 +101,7 @@ c = st.container()
 c.write("Beispielfragen")
 col1, col2, col3 = c.columns(3)
 col1.button("Mehr zu 'Lernen'", on_click=click_button, args=["Was macht die Säule 'Lernen' aus?"])
-col1.button("Wie funktioniert die App?", on_click=click_button, args=["Wie funktioniert die Volker-App?"])
+col1.button("Was macht die Volker-App?", on_click=click_button, args=["Was macht die Volker-App?"])
 col2.button("Mehr zu 'Tracken'", on_click=click_button, args=["Was macht die Säule 'Tracken' aus?"])
 col2.button("Welche Krankenkassen erstatten die App?", on_click=click_button, args=["Welche Krankenkassen erstatten die App?"])
 col3.button("Mehr zu 'Handeln'", on_click=click_button, args=["Was macht die Säule 'Handeln' aus?"])