diff --git a/g2p/g2p/mandarin.py b/g2p/g2p/mandarin.py
index dbc0e33..c9e044c 100755
--- a/g2p/g2p/mandarin.py
+++ b/g2p/g2p/mandarin.py
@@ -19,7 +19,12 @@
 BLANK_LEVEL = 0
 
 # conv = G2PWConverter(style='pinyin', enable_non_tradional_chinese=True)
-resource_path = r"./g2p"
+
+current_dir = os.path.dirname(os.path.abspath(__file__))
+
+parent_dir = os.path.dirname(current_dir)
+resource_path = os.path.join(parent_dir)
+
 poly_all_class_path = os.path.join(
     resource_path, "sources", "g2p_chinese_model", "polychar.txt"
 )
@@ -182,8 +187,13 @@
 must_not_er_words = {"女儿", "老儿", "男儿", "少儿", "小儿"}
 
 word_pinyin_dict = {}
+
+chinese_lexicon = os.path.join(
+    resource_path, "sources", "chinese_lexicon.txt"
+)
+
 with open(
-    r"./g2p/sources/chinese_lexicon.txt", "r", encoding="utf-8"
+        chinese_lexicon, "r", encoding="utf-8"
 ) as fread:
     txt_list = fread.readlines()
     for txt in txt_list:
@@ -192,8 +202,12 @@
     fread.close()
 
 pinyin_2_bopomofo_dict = {}
+
+pinyin_2_bpmf = os.path.join(
+    resource_path, "sources", "pinyin_2_bpmf.txt"
+)
 with open(
-    r"./g2p/sources/pinyin_2_bpmf.txt", "r", encoding="utf-8"
+   pinyin_2_bpmf, "r", encoding="utf-8"
 ) as fread:
     txt_list = fread.readlines()
     for txt in txt_list:
@@ -211,8 +225,11 @@
 }
 
 bopomofos2pinyin_dict = {}
+bpmf_2_pinyin = os.path.join(
+    resource_path, "sources", "bpmf_2_pinyin.txt"
+)
 with open(
-    r"./g2p/sources/bpmf_2_pinyin.txt", "r", encoding="utf-8"
+        bpmf_2_pinyin, "r", encoding="utf-8"
 ) as fread:
     txt_list = fread.readlines()
     for txt in txt_list:
diff --git a/g2p/g2p_generation.py b/g2p/g2p_generation.py
index 625c093..30f837e 100755
--- a/g2p/g2p_generation.py
+++ b/g2p/g2p_generation.py
@@ -112,9 +112,16 @@ def chn_eng_g2p(text: str):
             all_tokens = all_tokens[:-1]
     return all_phoneme, all_tokens
 
+current_dir = os.path.dirname(os.path.abspath(__file__))
+vocab = os.path.join(
+    current_dir, "g2p", "vocab.json"
+)
 
-text_tokenizer = PhonemeBpeTokenizer()
-with open("./g2p/g2p/vocab.json", "r", encoding='utf-8') as f:
+text_tokenizer = PhonemeBpeTokenizer(vacab_path=vocab)
+
+
+
+with open(vocab, "r", encoding='utf-8') as f:
     json_data = f.read()
 data = json.loads(json_data)
 vocab = data["vocab"]
diff --git a/g2p/utils/g2p.py b/g2p/utils/g2p.py
index 9f23fe1..77e474a 100755
--- a/g2p/utils/g2p.py
+++ b/g2p/utils/g2p.py
@@ -53,8 +53,12 @@
     "ko": phonemizer_ko,
     "de": phonemizer_de,
 }
+current_dir = os.path.dirname(os.path.abspath(__file__))
+mls_en = os.path.join(
+    current_dir, "mls_en.json"
+)
 
-with open("./g2p/utils/mls_en.json", "r", encoding='utf-8') as f:
+with open(mls_en, "r", encoding='utf-8') as f:
     json_data = f.read()
 token = json.loads(json_data)
 
diff --git a/infer/infer_utils.py b/infer/infer_utils.py
index 1db185c..7dee00f 100755
--- a/infer/infer_utils.py
+++ b/infer/infer_utils.py
@@ -26,7 +26,7 @@
 from huggingface_hub import hf_hub_download
 
 from sys import path
-path.append(os.getcwd())
+path.append(os.path.dirname(os.path.dirname(__file__)))
 
 from model import DiT, CFM
 
@@ -215,7 +215,10 @@ def prepare_model(max_frames, device, repo_id="ASLP-lab/DiffRhythm-1_2"):
     dit_ckpt_path = hf_hub_download(
         repo_id=repo_id, filename="cfm_model.pt", cache_dir="./pretrained"
     )
-    dit_config_path = "./config/diffrhythm-1b.json"
+
+    BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+    dit_config_path = os.path.join(BASE_DIR, "config", "diffrhythm-1b.json")
+
     with open(dit_config_path) as f:
         model_config = json.load(f)
     dit_model_cls = DiT
@@ -341,7 +344,11 @@ def parse_lyrics(lyrics: str):
 
 class CNENTokenizer:
     def __init__(self):
-        with open("./g2p/g2p/vocab.json", "r", encoding='utf-8') as file:
+
+        BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+        vocab_path = os.path.join(BASE_DIR, "g2p", "g2p", "vocab.json")
+
+        with open(vocab_path, "r", encoding='utf-8') as file:
             self.phone2id: dict = json.load(file)["vocab"]
         self.id2phone = {v: k for (k, v) in self.phone2id.items()}
         from g2p.g2p_generation import chn_eng_g2p