update

app.py

@@ -1,9 +1,11 @@
 import streamlit as st
 from transformers import pipeline 
+import tensorflow  
+
 
 
 ###################################################
-model_name = "sentence-transformers/all-MiniLM-L6-v2"
+model_name = "declare-lab/flan-alpaca-gpt4-xl"
 pipe = pipeline("text-generation", model=model_name)
 
     
@@ -13,8 +15,8 @@ weathers = ["Sunny", "Rainy", "Snowy"]
 activities = ["Skiing", "Hiking", "Swimming", "Relaxing"]
 weather = st.selectbox("What is the weather like?", weathers)
 activity = st.selectbox("What activity do you prefer?", activities)
-input_prompt = f"The weather is {weather.lower()} and I like {activity.lower()}."
-        
+input_prompt = f"I'm looking for a resort recommendation. The weather should be {weather.lower()}, and I'm interested in activities like {activity.lower()}. What do you suggest?"
+
 if st.button('Recommend a Resort'):
     with st.spinner('Generating recommendation...'):    
      # Generate text based on the input prompt

requirements.txt

@@ -1 +1,3 @@
-transformers
+transformers
+streamlit
+tensorflow