.editorconfig

@@ -1,14 +0,0 @@
-root = true
-
-[*]
-charset = utf-8
-end_of_line = lf
-indent_size = 4
-indent_style = space
-insert_final_newline = true
-trim_trailing_whitespace = true
-max_line_length = 120
-
-[*.md]
-trim_trailing_whitespace = false
-max_line_length = 0

.gitignore

@@ -1,5 +1,3 @@
-.env
 /transcripts
 /index
 /.idea
-/venv

README.MD

@@ -9,15 +9,9 @@ Well, let's ask our LLM:
 
 ## How to run
 ### Install dependencies
-It is recommended to use a python version greater than or equal to ``3.10.0``.
+I have no idea what the correct way to install dependencies with python is. Somehow install these libraries and their dependencies:
-Another stuff recommended, is to create a venv or use an IDE that supports venv creation, so all dependencies are installed locally to the project and not globally. If not, you can use https://virtualenv.pypa.io/en/latest/ to artificially create isolated environments.
+- llama_index
-
+- beautifulsoup4
-Install the dependencies required to run the project by running the following command at the project root :
-
-```shell
-pip install -r requirements.txt
-```
-
 ### Execution
 Download transcripts:
 ```shell
@@ -37,7 +31,6 @@ python3 main.py
 On the first run, it will generate the index. This can take a while, but it will be cached on disk for the next runs.
 
 You can then ask it any questions about Darknet Diaries!
-
 ## Examples
 
 > What is the intro of the podcast?

download_transcripts.py

@@ -5,20 +5,17 @@ import json
 
 folder_path = "transcripts"
 
-if __name__ == '__main__':
+if not os.path.exists(folder_path):
-    if not os.path.exists(folder_path):
     os.makedirs(folder_path)
 
-    for i in range(1, 139):
+for i in range(1, 139):
     try:
-            # fetch transcript
         url = f"https://darknetdiaries.com/transcript/{i}"
         r = requests.get(url)
         soup = BeautifulSoup(r.text, 'html.parser')
 
         transcript = soup.find('pre').get_text()
 
-            # fetch transcript metadata
         url = f"https://api.darknetdiaries.com/{i}.json"
         r = requests.get(url)
         parsed_json = json.loads(r.text)
@@ -26,9 +23,8 @@ if __name__ == '__main__':
         number = parsed_json["episode_number"]
         downloads = parsed_json["total_downloads"]
 
-            # write transcript
+        with open(f"{folder_path}/episode_{number}.txt", "w") as f:
-            with open(f"{folder_path}/episode_{number}.txt", "w", encoding='utf-8') as f:
             f.write(f"{title}\n{downloads}\n{transcript}")
         print(f"{number} {title}")
-        except Exception as err:
+    except Exception:
-            print(f"Failed scraping episode {i} : [{err}]")
+        print(f"Failed scraping episode {i}")

main.py

@@ -4,25 +4,18 @@ from llama_index.node_parser import SimpleNodeParser
 from llama_index import VectorStoreIndex
 from llama_index.llms import OpenAI, ChatMessage, MessageRole
 from llama_index.prompts import ChatPromptTemplate
-# from llama_index import set_global_handler
+from llama_index import set_global_handler
 from llama_index.chat_engine.types import ChatMode
-from dotenv import load_dotenv
 import os
 import re
 
 # set_global_handler("simple")
 
-# load .env
+llm = OpenAI(model="gpt-4", temperature=0, max_tokens=256)
-load_dotenv()
-OPEN_API_KEY = os.getenv('OPEN_API_KEY')
-
-# config llm context
-llm = OpenAI(model="gpt-4", temperature=0, max_tokens=256, api_key=OPEN_API_KEY)
 service_context = ServiceContext.from_defaults(llm=llm)
 set_global_service_context(service_context)
 
-if __name__ == '__main__':
+if not os.path.exists("./index/lock"):
-    if not os.path.exists("./index/lock"):
     documents = []
     for filename in os.listdir("./transcripts"):
         episode_number = re.search(r'\d+', filename).group()
@@ -48,12 +41,12 @@ if __name__ == '__main__':
     index = VectorStoreIndex(nodes, show_progress=True)
     index.storage_context.persist(persist_dir="./index")
     open("./index/lock", 'a').close()
-    else:
+else:
     print("Loading index...")
     storage_context = StorageContext.from_defaults(persist_dir="./index")
     index = load_index_from_storage(storage_context)
 
-    chat_text_qa_msgs = [
+chat_text_qa_msgs = [
     ChatMessage(
         role=MessageRole.SYSTEM,
         content=(
@@ -74,10 +67,10 @@ if __name__ == '__main__':
             "answer the question: {query_str}\n"
         )
     )
-    ]
+]
-    text_qa_template = ChatPromptTemplate(chat_text_qa_msgs)
+text_qa_template = ChatPromptTemplate(chat_text_qa_msgs)
 
-    chat_refine_msgs = [
+chat_refine_msgs = [
     ChatMessage(
         role=MessageRole.SYSTEM,
         content="Always answer the question, even if the context isn't helpful.",
@@ -96,17 +89,18 @@ if __name__ == '__main__':
             "Original Answer: {existing_answer}"
         ),
     ),
-    ]
+]
-    refine_template = ChatPromptTemplate(chat_refine_msgs)
+refine_template = ChatPromptTemplate(chat_refine_msgs)
 
-    chat_engine = index.as_chat_engine(
+chat_engine = index.as_chat_engine(
     text_qa_template=text_qa_template,
     refine_template=refine_template,
     chat_mode=ChatMode.OPENAI
-    )
+)
 
-    while True:
+while True:
     try:
         chat_engine.chat_repl()
     except KeyboardInterrupt:
         break
+

requirements.txt

@@ -1,16 +0,0 @@
-# =====================
-# Required dependencies
-# =====================
-# general deps
-requests~=2.31.0
-llama-index~=0.8.40
-beautifulsoup4~=4.12.2
-python-dotenv~=1.0.0
-
-# llama sub deps
-transformers~=4.34.0
-torch~=2.1.0
-
-# =====================
-# Development dependencies
-# =====================