fix main cli

examples/main_cli_example.py

@@ -14,7 +14,7 @@ dotenv.load_dotenv()
 
 node_parser = SentenceSplitter(
     chunk_size=256,
-    chunk_overlap=20,
+    chunk_overlap=64,
     separator=" ",
     paragraph_separator="\n\n"
 )
@@ -32,41 +32,40 @@ for doc in documents:
     for node in nodes:
         all_texts.append(node.get_content())
 
-INDEX_DIR = Path("./test_pdf_index_pangu_test")
-INDEX_PATH = str(INDEX_DIR / "pdf_documents.leann")
-
-if not INDEX_DIR.exists():
-    print(f"--- Index directory not found, building new index ---")
-    
-    print(f"\n[PHASE 1] Building Leann index...")
-
-    # Use HNSW backend for better macOS compatibility
-    builder = LeannBuilder(
-        backend_name="hnsw",
-        embedding_model="facebook/contriever",
-        graph_degree=32, 
-        complexity=64,
-        is_compact=True,
-        is_recompute=True,
-        num_threads=1  # Force single-threaded mode
-    )
-
-    print(f"Loaded {len(all_texts)} text chunks from documents.")
-    for chunk_text in all_texts:
-        builder.add_text(chunk_text)
-        
-    builder.build_index(INDEX_PATH)
-    print(f"\nLeann index built at {INDEX_PATH}!")
-else:
-    print(f"--- Using existing index at {INDEX_DIR} ---")
-
 async def main(args):
+    INDEX_DIR = Path(args.index_dir)
+    INDEX_PATH = str(INDEX_DIR / "pdf_documents.leann")
+
+    if not INDEX_DIR.exists():
+        print(f"--- Index directory not found, building new index ---")
+        
+        print(f"\n[PHASE 1] Building Leann index...")
+
+        # Use HNSW backend for better macOS compatibility
+        builder = LeannBuilder(
+            backend_name="hnsw",
+            embedding_model="facebook/contriever",
+            graph_degree=32, 
+            complexity=64,
+            is_compact=True,
+            is_recompute=True,
+            num_threads=1  # Force single-threaded mode
+        )
+
+        print(f"Loaded {len(all_texts)} text chunks from documents.")
+        for chunk_text in all_texts:
+            builder.add_text(chunk_text)
+            
+        builder.build_index(INDEX_PATH)
+        print(f"\nLeann index built at {INDEX_PATH}!")
+    else:
+        print(f"--- Using existing index at {INDEX_DIR} ---")
+
     print(f"\n[PHASE 2] Starting Leann chat session...")
     
+
     llm_config = {
-        "type": args.llm,
-        "model": args.model,
-        "host": args.host
+        "type": "ollama", "model": "Qwen/Qwen3-8B"
     }
 
     chat = LeannChat(index_path=INDEX_PATH, llm_config=llm_config)
@@ -82,8 +81,9 @@ async def main(args):
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="Run Leann Chat with various LLM backends.")
     parser.add_argument("--llm", type=str, default="hf", choices=["simulated", "ollama", "hf", "openai"], help="The LLM backend to use.")
-    parser.add_argument("--model", type=str, default='meta-llama/Llama-3.2-3B-Instruct', help="The model name to use (e.g., 'llama3:8b' for ollama, 'deepseek-ai/deepseek-llm-7b-chat' for hf, 'gpt-4o' for openai).")
+    parser.add_argument("--model", type=str, default='Qwen/Qwen3-0.6B', help="The model name to use (e.g., 'llama3:8b' for ollama, 'deepseek-ai/deepseek-llm-7b-chat' for hf, 'gpt-4o' for openai).")
     parser.add_argument("--host", type=str, default="http://localhost:11434", help="The host for the Ollama API.")
+    parser.add_argument("--index-dir", type=str, default="./test_pdf_index_pangu_test", help="Directory where the Leann index will be stored.")
     args = parser.parse_args()
 
     asyncio.run(main(args))