requirements

app.py

@@ -46,12 +46,12 @@ new_directory = os.path.join(current_directory, folder_name)
 
 pkl_path = './pkl/texts.pkl'
 text_image_pkl_path='./pkl/text_image.pkl'
-dict_path = "../characters/haruhi/text_image_dict.txt"
+dict_path = "characters/haruhi/text_image_dict.txt"
 dict_text_pkl_path = './pkl/dict_text.pkl'
 
-image_path = "../characters/haruhi/images"
+image_path = "characters/haruhi/images"
 model = download_models()
-text = Text("../characters/haruhi/texts", text_image_pkl_path=text_image_pkl_path,
+text = Text("characters/haruhi/texts", text_image_pkl_path=text_image_pkl_path,
                 dict_text_pkl_path=dict_text_pkl_path, model=model, num_steps=50, pkl_path=pkl_path,
                 dict_path=dict_path, image_path=image_path)
 
@@ -371,8 +371,8 @@ class Run:
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description="-----[Chat凉宫春日]-----")
-    parser.add_argument("--folder", default="../characters/haruhi/texts", help="text folder")
-    parser.add_argument("--system_prompt", default="../characters/haruhi/system_prompt.txt", help="store system_prompt")
+    parser.add_argument("--folder", default="characters/haruhi/texts", help="text folder")
+    parser.add_argument("--system_prompt", default="characters/haruhi/system_prompt.txt", help="store system_prompt")
     parser.add_argument("--max_len_story", default=1500, type=int)
     parser.add_argument("--max_len_history", default=1200, type=int)
     # parser.add_argument("--save_path", default="/content/drive/MyDrive/GPTData/Haruhi-Lulu/")

requirements.txt

@@ -0,0 +1,5 @@
+transformers 
+openai 
+tiktoken 
+langchain 
+gradio