add next roadmap

pilot/chain/audio.py

@@ -0,0 +1,2 @@
+#!/usr/bin/env python3
+# -*- coding:utf-8 -*-

pilot/chain/visual.py

@@ -0,0 +1,2 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-

pilot/client/auto.py

@@ -0,0 +1,2 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-

pilot/client/chart.py

@@ -0,0 +1,2 @@
+#/usr/bin/env python3
+# -*- coding: utf-8 -*-

pilot/configs/model_config.py

@@ -11,6 +11,7 @@ PILOT_PATH = os.path.join(ROOT_PATH, "pilot")
 VECTORE_PATH = os.path.join(PILOT_PATH, "vector_store")
 LOGDIR = os.path.join(ROOT_PATH, "logs")
 DATASETS_DIR = os.path.join(PILOT_PATH, "datasets")
+DATA_DIR = os.path.join(PILOT_PATH, "data")
 
 nltk.data.path = [os.path.join(PILOT_PATH, "nltk_data")] + nltk.data.path
 

pilot/pturning/lora/finetune.py

@@ -0,0 +1,26 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import os
+import json
+import transformers
+from transformers import LlamaTokenizer, LlamaForCausalLM
+
+from typing import List
+from peft import (
+    LoraConfig,
+    get_peft_model,
+    get_peft_model_state_dict,
+    prepare_model_for_int8_training,
+)
+
+import torch
+from datasets import load_dataset
+import pandas as pd
+
+
+from pilot.configs.model_config import DATA_DIR
+device = "cuda" if torch.cuda.is_available() else "cpu"
+CUTOFF = 50
+
+df = pd.read_csv(os.path.join(DATA_DIR, "BTC_Tweets_Updated.csv"))

pilot/server/chatbot.py

@@ -1,3 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding:utf-8 -*-
-