Update app.py

app.py

@@ -1,5 +1,7 @@
-from huggingface_hub import InferenceClient 
-
+from huggingface_hub import InferenceClient
+# Step 1 from the Semantic Search
+from sentence_transformers import SentenceTransformer
+import torch
 import gradio as gr
 import random
 
@@ -7,6 +9,18 @@ import random
 # Making requests to the model to generate responses:
 client = InferenceClient('Qwen/Qwen2.5-72B-Instruct') 
 
+# Step 2 from the semantic search
+# Open the water_cycle.txt file in read mode with UTF-8 encoding
+with open("water_cycle.txt", "r", encoding="utf-8") as file:
+  # Read the entire contents of the file and store it in a variable
+  water_cycle_text = file.read()
+
+# Print the text below
+print(water_cycle_text)
+
+
+
+
 
 def respond(message, history):
     #responses = ["Yes", "No"]