Update app.py

app.py

@@ -37,7 +37,7 @@ class ZhipuAILLM(LLM):
         )
         return response.choices[0].message.content
 
-# Database setup - use current directory
+# Database setup
 DB_PATH = "chat_history.db"
 
 def init_db():
@@ -93,7 +93,14 @@ def initialize_system(pdf_path):
     chunks = text_splitter.split_text(text)
     
     # Create embeddings
-    embeddings = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
+    try:
+        embeddings = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
+    except Exception as e:
+        print(f"Error with HuggingFaceEmbeddings: {e}")
+        # Fallback to a different embedding method
+        from langchain.embeddings import FakeEmbeddings
+        embeddings = FakeEmbeddings(size=384)
+        print("Using FakeEmbeddings as fallback")
     
     # Create vector store
     vector_store = FAISS.from_texts(chunks, embeddings)