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deps-manag
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0730db5727 |
14
.editorconfig
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14
.editorconfig
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root = true
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[*]
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charset = utf-8
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end_of_line = lf
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indent_size = 4
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indent_style = space
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insert_final_newline = true
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trim_trailing_whitespace = true
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max_line_length = 120
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[*.md]
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trim_trailing_whitespace = false
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max_line_length = 0
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2
.gitignore
vendored
2
.gitignore
vendored
@ -1,3 +1,5 @@
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.env
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/transcripts
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/transcripts
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/index
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/index
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/.idea
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/.idea
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/venv
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@ -9,9 +9,15 @@ Well, let's ask our LLM:
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## How to run
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## How to run
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### Install dependencies
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### Install dependencies
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I have no idea what the correct way to install dependencies with python is. Somehow install these libraries and their dependencies:
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It is recommended to use a python version greater than or equal to ``3.10.0``.
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- llama_index
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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.
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- beautifulsoup4
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Install the dependencies required to run the project by running the following command at the project root :
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```shell
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pip install -r requirements.txt
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```
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### Execution
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### Execution
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Download transcripts:
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Download transcripts:
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```shell
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```shell
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@ -31,6 +37,7 @@ python3 main.py
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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.
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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.
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You can then ask it any questions about Darknet Diaries!
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You can then ask it any questions about Darknet Diaries!
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## Examples
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## Examples
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> What is the intro of the podcast?
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> What is the intro of the podcast?
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@ -5,17 +5,20 @@ import json
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folder_path = "transcripts"
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folder_path = "transcripts"
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if __name__ == '__main__':
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if not os.path.exists(folder_path):
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if not os.path.exists(folder_path):
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os.makedirs(folder_path)
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os.makedirs(folder_path)
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for i in range(1, 139):
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for i in range(1, 139):
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try:
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try:
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# fetch transcript
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url = f"https://darknetdiaries.com/transcript/{i}"
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url = f"https://darknetdiaries.com/transcript/{i}"
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r = requests.get(url)
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r = requests.get(url)
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soup = BeautifulSoup(r.text, 'html.parser')
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soup = BeautifulSoup(r.text, 'html.parser')
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transcript = soup.find('pre').get_text()
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transcript = soup.find('pre').get_text()
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# fetch transcript metadata
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url = f"https://api.darknetdiaries.com/{i}.json"
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url = f"https://api.darknetdiaries.com/{i}.json"
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r = requests.get(url)
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r = requests.get(url)
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parsed_json = json.loads(r.text)
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parsed_json = json.loads(r.text)
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@ -23,8 +26,9 @@ for i in range(1, 139):
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number = parsed_json["episode_number"]
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number = parsed_json["episode_number"]
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downloads = parsed_json["total_downloads"]
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downloads = parsed_json["total_downloads"]
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with open(f"{folder_path}/episode_{number}.txt", "w") as f:
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# write transcript
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with open(f"{folder_path}/episode_{number}.txt", "w", encoding='utf-8') as f:
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f.write(f"{title}\n{downloads}\n{transcript}")
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f.write(f"{title}\n{downloads}\n{transcript}")
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print(f"{number} {title}")
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print(f"{number} {title}")
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except Exception:
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except Exception as err:
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print(f"Failed scraping episode {i}")
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print(f"Failed scraping episode {i} : [{err}]")
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12
main.py
12
main.py
@ -4,17 +4,24 @@ from llama_index.node_parser import SimpleNodeParser
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from llama_index import VectorStoreIndex
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from llama_index import VectorStoreIndex
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from llama_index.llms import OpenAI, ChatMessage, MessageRole
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from llama_index.llms import OpenAI, ChatMessage, MessageRole
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from llama_index.prompts import ChatPromptTemplate
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from llama_index.prompts import ChatPromptTemplate
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from llama_index import set_global_handler
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# from llama_index import set_global_handler
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from llama_index.chat_engine.types import ChatMode
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from llama_index.chat_engine.types import ChatMode
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from dotenv import load_dotenv
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import os
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import os
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import re
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import re
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# set_global_handler("simple")
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# set_global_handler("simple")
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llm = OpenAI(model="gpt-4", temperature=0, max_tokens=256)
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# load .env
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load_dotenv()
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OPEN_API_KEY = os.getenv('OPEN_API_KEY')
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# config llm context
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llm = OpenAI(model="gpt-4", temperature=0, max_tokens=256, api_key=OPEN_API_KEY)
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service_context = ServiceContext.from_defaults(llm=llm)
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service_context = ServiceContext.from_defaults(llm=llm)
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set_global_service_context(service_context)
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set_global_service_context(service_context)
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if __name__ == '__main__':
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if not os.path.exists("./index/lock"):
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if not os.path.exists("./index/lock"):
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documents = []
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documents = []
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for filename in os.listdir("./transcripts"):
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for filename in os.listdir("./transcripts"):
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@ -103,4 +110,3 @@ while True:
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chat_engine.chat_repl()
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chat_engine.chat_repl()
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except KeyboardInterrupt:
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except KeyboardInterrupt:
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break
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break
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16
requirements.txt
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16
requirements.txt
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@ -0,0 +1,16 @@
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# =====================
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# Required dependencies
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# =====================
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# general deps
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requests~=2.31.0
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llama-index~=0.8.40
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beautifulsoup4~=4.12.2
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python-dotenv~=1.0.0
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# llama sub deps
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transformers~=4.34.0
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torch~=2.1.0
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# =====================
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# Development dependencies
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# =====================
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