Add application file

app.py

@@ -0,0 +1,36 @@
+import streamlit as st
+from transformers import pipeline 
+
+
+###################################################
+pipe = pipeline("text-generation", model='all-MiniLM-L6-v2')
+
+    
+def main():
+    try:
+        st.title("Which Resort is best for you?")
+
+        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()}."
+        
+        if st.button('Recommend a Resort'):
+            with st.spinner('Generating recommendation...'):
+                 # Generate text based on the input prompt
+                generated_texts = pipe(input_prompt, max_length=50, num_return_sequences=1)
+                recommendation = generated_texts[0]['generated_text']
+
+                # Displaying the generated recommendation
+                st.subheader("Recommended Resort:")
+                st.write(recommendation)  
+       
+    except Exception as e:
+        st.error(e)
+         
+###################################################
+    if __name__=="main":
+        main()
+        
+