Update src/backend/chatbot.py

src/backend/chatbot.py

@@ -24,9 +24,10 @@ from llama_index.llms.llama_utils import (
 # model = 'openai'
 model = 'Llama2-7B_CPP'
 
+
 # initialize model 
 if model == 'Llama2-7B_CPP':
-    model_path = "src/models/llama-2-7b-chat.Q4_K_M.gguf"
+    model_path = "/Users/dheym/Library/CloudStorage/OneDrive-Personal/Documents/side_projects/GRDN/src/models/llama-2-7b-chat.Q4_K_M.gguf"
     llm = LlamaCPP(
         # You can pass in the URL to a GGML model to download it automatically
         #model_url=model_url,
@@ -227,6 +228,9 @@ def get_compatibility_matrix_2(plant_list):
 # get plant groupings from LLM
 def get_seed_groupings_from_LLM():
     plant_groupings_evaluated = "no response yet"
+    if st.session_state.demo_lite:
+        # just return "no response yet" for now
+        return plant_groupings_evaluated
     template="You are a helpful assistant that only outputs python lists of lists of lists of plants."
     # make sure output is strictly and only a list of lists for one grouping
     text ='''I am working on a gardening project and need to optimally group a set of plants based on their compatibility. Below is the compatibility matrix for the plants, where each value represents how well two plants grow together (positive values indicate good compatibility, negative values indicate poor compatibility). I also have specific constraints for planting: there are a certain number of plant beds (n_plant_beds), each bed can have a minimum of min_species species and a maximum of max_species species. Given these constraints, please suggest several groupings of these plants into n_plant_beds beds, optimizing for overall compatibility.