Update app.py

app.py

@@ -1,6 +1,23 @@
 import gradio as gr
+import faiss
+import pickle
+from sentence_transformers import SentenceTransformer
+import numpy as np
 from huggingface_hub import InferenceClient
 
+index = faiss.read_index("alzheimers_index.faiss")
+
+with open("chunks.pkl", "rb") as f:
+    chunks = pickle.load(f)
+
+model = SentenceTransformer("all-MiniLM-L6-v2")
+
+def retrieve_rag_context(query, k=3):
+    """Return top-k relevant chunks for a query."""
+    query_embedding = model.encode([query])
+    distances, indices = index.search(np.array(query_embedding), k)
+    results = "\n\n---\n\n".join([chunks[i]["text"] for i in indices[0]])
+    return results
 
 def respond(
     message,
@@ -11,15 +28,18 @@ def respond(
     top_p,
     hf_token: gr.OAuthToken,
 ):
-    """
-    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-    """
+   """Respond using GPT-OSS-20B with RAG context"""
     client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
 
-    messages = [{"role": "system", "content": system_message}]
+    # Retrieve RAG context
+    rag_context = retrieve_rag_context(message)
+    
+    # Combine system message with RAG context
+    full_system_message = f"{system_message}\n\nRelevant info from knowledge base:\n{rag_context}"
 
+    # Prepare messages
+    messages = [{"role": "system", "content": full_system_message}]
     messages.extend(history)
-
     messages.append({"role": "user", "content": message})
 
     response = ""
@@ -47,16 +67,10 @@ chatbot = gr.ChatInterface(
     respond,
     type="messages",
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(value="You are a helpful AI assistant for Alzheimer's patients and caregivers.", label="System message"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
     ],
 )