Create app.py

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+import joblib  # Replace with torch if using a PyTorch model
+
+# Load the trained model (ensure the model file is in the same directory)
+model = joblib.load('path_to_your_model.pkl')
+
+# Streamlit UI
+st.title("Sentiment Analysis App using GenAI Models")
+
+# Text input from the user
+user_input = st.text_area("Enter text to analyze sentiment:", "")
+
+# Prediction button
+if st.button("Analyze"):
+    if user_input:
+        # Perform prediction
+        prediction = model.predict([user_input])
+        sentiment = "Positive" if prediction[0] == 1 else "Negative"
+        st.write(f"**Predicted Sentiment:** {sentiment}")
+    else:
+        st.warning("Please enter some text to analyze.")
+
+# Optional: Footer
+st.write("---")
+st.caption("Built with Streamlit and GenAI models.")