Remove some incomplete components.

app.py

@@ -7,7 +7,12 @@ from utils.file_operations import hash_name
 # todo:
 #   2. update QQ group and Organization cards
 #   4. add auto_polishing function
-#   5. Use Completion to substitute some simple task (including: writing abstract, conclusion, generate keywords, generate figures...)
+#   5. Use some simple method for simple tasks (including: writing abstract, conclusion, generate keywords, generate figures...)
+#       5.1 Use GPT 3.5 for abstract, conclusion, ...
+#       5.2 Use local LLM to generate keywords, figures, ...
+#       5.3 Use embedding to find most related papers (find a paper dataset)
+#       5.4 Use Segmantic Scholar API instead of Arxiv API.
+#   6. get logs when the procedure is not completed.
 
 openai_key = os.getenv("OPENAI_API_KEY")
 access_key_id = os.getenv('AWS_ACCESS_KEY_ID')

auto_backgrounds.py

@@ -90,12 +90,13 @@ def fake_generator(title, description="", template="ICLR2022", model="gpt-4"):
 def generate_draft(title, description="", template="ICLR2022", model="gpt-4"):
     paper, destination_folder, _ = _generation_setup(title, description, template, model)
 
-    print("Generating figures ...")
-    usage = figures_generation(paper, destination_folder, model="gpt-3.5-turbo")
-    log_usage(usage, "figures")
+    # todo: `list_of_methods` failed to be generated; find a solution ...
+    # print("Generating figures ...")
+    # usage = figures_generation(paper, destination_folder, model="gpt-3.5-turbo")
+    # log_usage(usage, "figures")
 
     # for section in ["introduction", "related works", "backgrounds", "methodology", "experiments", "conclusion", "abstract"]:
-    for section in ["introduction", "related works", "backgrounds", "experiments", "conclusion", "abstract"]:
+    for section in ["introduction", "related works", "backgrounds", "abstract"]:
         try:
             usage = section_generation(paper, section, destination_folder, model=model)
             log_usage(usage, section)