Update app.py

app.py

@@ -1,4 +1,6 @@
 import streamlit as st
+import torch
+from transformers import pipeline
 
 
 with st.sidebar: 
@@ -13,7 +15,30 @@ if choice == "Home/about":
     
 if choice == "Meal Suggester": 
     st.title("Time to Eat")
-    st.write("Feeling Hungry? Let get you some nice meal to silence that grumbling. In a healthy way ofcourse")
+    st.write("Feeling Hungry? Let get you some nice meal to silence that grumbling. In a healthy way ofcourse")# Install transformers from source - only needed for versions <= v4.34
+    # pip install git+https://github.com/huggingface/transformers.git
+    # pip install accelerate
+    
+    pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", torch_dtype=torch.bfloat16, device_map="auto")
+    
+    # We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
+    messages = [
+        {
+            "role": "system",
+            "content": "You are a friendly chatbot who always responds in the style of a pirate",
+        },
+        {"role": "user", "content": "How many helicopters can a human eat in one sitting?"},
+    ]
+    prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+    print(outputs[0]["generated_text"])
+    # <|system|>
+    # You are a friendly chatbot who always responds in the style of a pirate.</s>
+    # <|user|>
+    # How many helicopters can a human eat in one sitting?</s>
+    # <|assistant|>
+    # Ah, me hearty matey! But yer question be a puzzler! A human cannot eat a helicopter in one sitting, as helicopters are not edible. They be made of metal, plastic, and other materials, not food!
+
 
 if choice == "Accomodation available":
     st.title("Ready to Move in?")