Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+import pandas as pd
+from sentence_transformers import SentenceTransformer, util
+
+# Load FAQs
+faq_df = pd.read_csv("lic_faq.csv")
+model = SentenceTransformer('all-MiniLM-L6-v2')
+faq_embeddings = model.encode(faq_df['question'].tolist(), convert_to_tensor=True)
+
+def chatbot(query):
+    query_embedding = model.encode(query, convert_to_tensor=True)
+    scores = util.pytorch_cos_sim(query_embedding, faq_embeddings)[0]
+    best_idx = scores.argmax()
+    return faq_df.iloc[best_idx]['answer']
+
+iface = gr.Interface(fn=chatbot, inputs="text", outputs="text",
+                     title="LIC Agent Assistant",
+                     description="Ask about LIC claims, policies, onboarding, etc.")
+iface.launch()