Update app.py

app.py

@@ -1,29 +1,29 @@
-# app.py
-
-import streamlit as st
-from your_pipeline_module import AdversarialAttackPipeline, RAGPipeline
-
-# Instantiate RAG and pipeline
-rag = RAGPipeline()
-pipeline = AdversarialAttackPipeline(answer_generator=rag.generate_answer)
-
-# Streamlit UI
-st.set_page_config(page_title="⚔️ Adversarial Attack Viewer", layout="wide")
-st.title("⚔️ Adversarial Attack Viewer")
-st.markdown("Compare original and perturbed inputs/outputs without metrics. Focus on behavior change.")
-
-# Inputs
-query = st.text_input("Enter Original Query")
-perturb_method = st.selectbox("Perturbation Method", ["synonym", "delete", "contextual"])
-k = st.slider("Top-K Retrieved Chunks", min_value=1, max_value=5, value=3)
-
-# Run attack
-if st.button("Run Attack"):
-    with st.spinner("Running adversarial pipeline..."):
-        result = pipeline.run(query=query, top_k=k, perturb_method=perturb_method)
-
-        st.text_area("🔵 Original Query", result['normal_query'], height=100)
-        st.text_area("🟠 Perturbed Query", result['perturbed_query'], height=100)
-        st.text_area("🟢 Normal Response", result['normal_response'], height=150)
-        st.text_area("🟡 Perturbed Response", result['perturbed_response'], height=150)
-        st.text_area("🔴 Adversarial Response (Perturbed Normal Response)", result['adversarial_response'], height=150)
+# app.py
+
+import streamlit as st
+from rag_pipeline3 import AdversarialAttackPipeline, RAGPipeline
+
+# Instantiate RAG and pipeline
+rag = RAGPipeline()
+pipeline = AdversarialAttackPipeline(answer_generator=rag.generate_answer)
+
+# Streamlit UI
+st.set_page_config(page_title="⚔️ Adversarial Attack Viewer", layout="wide")
+st.title("⚔️ Adversarial Attack Viewer")
+st.markdown("Compare original and perturbed inputs/outputs without metrics. Focus on behavior change.")
+
+# Inputs
+query = st.text_input("Enter Original Query")
+perturb_method = st.selectbox("Perturbation Method", ["synonym", "delete", "contextual"])
+k = st.slider("Top-K Retrieved Chunks", min_value=1, max_value=5, value=3)
+
+# Run attack
+if st.button("Run Attack"):
+    with st.spinner("Running adversarial pipeline..."):
+        result = pipeline.run(query=query, top_k=k, perturb_method=perturb_method)
+
+        st.text_area("🔵 Original Query", result['normal_query'], height=100)
+        st.text_area("🟠 Perturbed Query", result['perturbed_query'], height=100)
+        st.text_area("🟢 Normal Response", result['normal_response'], height=150)
+        st.text_area("🟡 Perturbed Response", result['perturbed_response'], height=150)
+        st.text_area("🔴 Adversarial Response (Perturbed Normal Response)", result['adversarial_response'], height=150)