Update app.py

app.py

@@ -273,7 +273,7 @@ def generate_chunked_response(prompt, model, max_tokens=10000, num_calls=3, temp
 
 def duckduckgo_search(query):
     with DDGS() as ddgs:
-        results = ddgs.text(query, max_results=5)
+        results = ddgs.text(query, max_results=10)
     return results
 
 class CitingSources(BaseModel):
@@ -376,7 +376,7 @@ def get_context_for_summary(selected_docs):
     embed = get_embeddings()
     if os.path.exists("faiss_database"):
         database = FAISS.load_local("faiss_database", embed, allow_dangerous_deserialization=True)
-        retriever = database.as_retriever(search_kwargs={"k": 5})  # Retrieve top 5 most relevant chunks
+        retriever = database.as_retriever(search_kwargs={"k": 10})  # Retrieve top 5 most relevant chunks
         
         # Create a generic query that covers common financial summary topics
         generic_query = "financial performance revenue profit assets liabilities cash flow key metrics highlights"