use absolute path

app.py

@@ -1,6 +1,7 @@
 import datetime
 from google.protobuf import message
 import torch
+import os
 import json
 import time
 import threading
@@ -343,9 +344,11 @@ if st.button("your website is straight up garbage. how do you sell high end tech
         )
     )
 
-if st.button("Generate printer task/question"):
+if st.button("Generate Printer Issue Based on Seed Tasks"):
     num_prompt_instructions = 8
-    seed_tasks = [json.loads(l) for l in open("/data/printer-seed.jsonl", "r")]
+    current_dir = os.path.dirname(os.path.abspath(__file__))
+    printer_seed_file_path = os.path.join(current_dir, "printer-seed.jsonl")
+    seed_tasks = [json.loads(l) for l in open(printer_seed_file_path, "r")]
     seed_instructions = [t["text"] for t in seed_tasks]
     prompt_instructions = []
     prompt_instructions += random.sample(seed_instructions, num_prompt_instructions - len(prompt_instructions))
@@ -413,7 +416,8 @@ st.markdown("""Zhang Peiyuan's TinyLlama https://github.com/jzhang38/TinyLlama""
 st.markdown("""Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois,
     Xuechen Li, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
     - [Alpaca: A Strong, Replicable Instruction-Following Model](https://crfm.stanford.edu/2023/03/13/alpaca.html)""")
-
+st.markdown("""Self-Instruct: Aligning Language Models with Self-Generated Instructions
+Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi https://arxiv.org/abs/2212.10560""")
 if True:
     gpu_stats = torch.cuda.get_device_properties(0)
     max_memory = gpu_stats.total_memory / 1024 ** 3