adding code for model inferencing

app.py

@@ -0,0 +1,21 @@
+import streamlit as st
+from setfit import SetFitModel
+
+l6_model = SetFitModel.from_pretrained("nayan06/binary-classifier-conversion-intent-1.1-l6")
+
+st.title("Conversion? Or Not?")
+
+Text = st.text_input("Enter the sentence")
+
+
+@st.cache
+def model_inference(text):
+    prediction = l6_model([text])
+    if prediction == 1:
+        return "Intent-To-Convert"
+    else:
+        return "Others"
+
+
+st.subheader('Classified Intent Is')
+st.write(model_inference(Text))

requirements.txt

@@ -1,3 +1,4 @@
 transformers
 torch
-setfit
+setfit~=0.3.0
+streamlit~=1.13.0