Update app.py

app.py

@@ -36,7 +36,7 @@ def get_text_chunks(text):
 
 # Function to create vectorstore from the text chunks
 def get_vectorstore(text_chunks):
-    embeddings = HuggingFaceEmbeddings(model_name="hkunlp/instructor-base")  # Using lightweight instructor model
+    embeddings = HuggingFaceEmbeddings(model_name="hkunlp/instructor-xl")  # Using lightweight instructor model
     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
     return vectorstore
 
@@ -49,7 +49,7 @@ def get_conversation_chain(vectorstore):
         model="google/flan-t5-base",  # Smaller model for low-end systems
         tokenizer="google/flan-t5-base",
         max_new_tokens=512,  # Increase the maximum token output
-        temperature=0.3,# Control creativity
+        temperature=0.7,# Control creativity
         #do_sample=True,
         top_p=0.9,  # Nucleus sampling
         top_k=50,