Update app.py

app.py

@@ -1,11 +1,12 @@
 from huggingface_hub import InferenceClient
+
 #STEP1FROMSEMANTICSEARCH (import libraries)
 from sentence_transformers import SentenceTransformer
 import torch
 import gradio as gr
 import random
 
-client=InferenceClient("Qwen/Qwen2.5-72B-Instruct")
+client = InferenceClient("Qwen/Qwen2.5-72B-Instruct")
 #deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
 
 # Open the water_cycle.txt file in read mode with UTF-8 encoding - step 2 from semantic search
@@ -46,27 +47,17 @@ def preprocess_text(text):
 cleaned_chunks = preprocess_text(recipes_text) # Complete this line
 
 def respond(message, history):
-    #responses = ["Yes", "No"]
-    #return random.choice(responses)
-
-    messages = [
-        {"role":"system", 
-         "content": "You are a chatbot that is very sweet and kind"
-        }
-    ]
-
+    messages = [{"role":"system", "content": "You are a chatbot that is very sweet and kind"}]
 
     if history:
         messages.extend(history)
 
-    messages.append(
-        {"role":"user",
-        "content": "message"}
-    )
+    messages.append({"role":"user","content": message})
 
-    response = client.chat_completion(messages, max_tokens=100, temperature=1.3, top_p=.2)
+    response = client.chat_completion(messages, max_tokens = 100, temperature = 1.3, top_p = .3)
     #temperature and top_p control randomness
 
+    print(response)
 
     return response['choices'][0]['message']['content'].strip()