.editorconfig

@@ -0,0 +1,14 @@
+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

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

README.md

@@ -9,9 +9,15 @@ Well, let's ask our LLM:
 
 ## How to run
 ### Install dependencies
-I have no idea what the correct way to install dependencies with python is. Somehow install these libraries and their dependencies:
-- llama_index
-- beautifulsoup4
+It is recommended to use a python version greater than or equal to ``3.10.0``.
+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.
+
+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
@@ -31,6 +37,7 @@ 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

@@ -5,26 +5,30 @@ import json
 
 folder_path = "transcripts"
 
-if not os.path.exists(folder_path):
-    os.makedirs(folder_path)
+if __name__ == '__main__':
+    if not os.path.exists(folder_path):
+        os.makedirs(folder_path)
 
-for i in range(1, 139):
-    try:
-        url = f"https://darknetdiaries.com/transcript/{i}"
-        r = requests.get(url)
-        soup = BeautifulSoup(r.text, 'html.parser')
+    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()
+            transcript = soup.find('pre').get_text()
 
-        url = f"https://api.darknetdiaries.com/{i}.json"
-        r = requests.get(url)
-        parsed_json = json.loads(r.text)
-        title = parsed_json["episode_name"]
-        number = parsed_json["episode_number"]
-        downloads = parsed_json["total_downloads"]
+            # fetch transcript metadata
+            url = f"https://api.darknetdiaries.com/{i}.json"
+            r = requests.get(url)
+            parsed_json = json.loads(r.text)
+            title = parsed_json["episode_name"]
+            number = parsed_json["episode_number"]
+            downloads = parsed_json["total_downloads"]
 
-        with open(f"{folder_path}/episode_{number}.txt", "w") as f:
-            f.write(f"{title}\n{downloads}\n{transcript}")
-        print(f"{number} {title}")
-    except Exception:
-        print(f"Failed scraping episode {i}")
+            # write transcript
+            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:
+            print(f"Failed scraping episode {i} : [{err}]")

main.py

@@ -4,103 +4,109 @@ 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")
 
-llm = OpenAI(model="gpt-4", temperature=0, max_tokens=256)
+# load .env
+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 not os.path.exists("./index/lock"):
-    documents = []
-    for filename in os.listdir("./transcripts"):
-        episode_number = re.search(r'\d+', filename).group()
-        with open("./transcripts/" + filename, 'r') as f:
-            title = f.readline().strip()
-            downloads = f.readline().strip()
-            content = f.read()
-        document = Document(
-            text=content,
-            doc_id=filename,
-            metadata={
-                "episode_number": episode_number,
-                "episode_title": title,
-                "episode_downloads": downloads,
-                "episode_url": f"https://darknetdiaries.com/episode/{episode_number}/"
-            }
-        )
-        documents.append(document)
+if __name__ == '__main__':
+    if not os.path.exists("./index/lock"):
+        documents = []
+        for filename in os.listdir("./transcripts"):
+            episode_number = re.search(r'\d+', filename).group()
+            with open("./transcripts/" + filename, 'r') as f:
+                title = f.readline().strip()
+                downloads = f.readline().strip()
+                content = f.read()
+            document = Document(
+                text=content,
+                doc_id=filename,
+                metadata={
+                    "episode_number": episode_number,
+                    "episode_title": title,
+                    "episode_downloads": downloads,
+                    "episode_url": f"https://darknetdiaries.com/episode/{episode_number}/"
+                }
+            )
+            documents.append(document)
 
-    parser = SimpleNodeParser.from_defaults()
-    nodes = parser.get_nodes_from_documents(documents)
+        parser = SimpleNodeParser.from_defaults()
+        nodes = parser.get_nodes_from_documents(documents)
 
-    index = VectorStoreIndex(nodes, show_progress=True)
-    index.storage_context.persist(persist_dir="./index")
-    open("./index/lock", 'a').close()
-else:
-    print("Loading index...")
-    storage_context = StorageContext.from_defaults(persist_dir="./index")
-    index = load_index_from_storage(storage_context)
+        index = VectorStoreIndex(nodes, show_progress=True)
+        index.storage_context.persist(persist_dir="./index")
+        open("./index/lock", 'a').close()
+    else:
+        print("Loading index...")
+        storage_context = StorageContext.from_defaults(persist_dir="./index")
+        index = load_index_from_storage(storage_context)
 
-chat_text_qa_msgs = [
-    ChatMessage(
-        role=MessageRole.SYSTEM,
-        content=(
-            "You have been trained on the Darknet Diaries podcast transcripts with data from october 6 2023."
-            "You are an expert about it and will answer as such. You know about every episode up to number 138."
-            "Always answer the question, even if the context isn't helpful."
-            "Mention the number and title of the episodes you are referring to."
-        )
-    ),
-    ChatMessage(
-        role=MessageRole.USER,
-        content=(
-            "Context information is below.\n"
-            "---------------------\n"
-            "{context_str}\n"
-            "---------------------\n"
-            "Given the context information and not prior knowledge,"
-            "answer the question: {query_str}\n"
-        )
-    )
-]
-text_qa_template = ChatPromptTemplate(chat_text_qa_msgs)
-
-chat_refine_msgs = [
-    ChatMessage(
-        role=MessageRole.SYSTEM,
-        content="Always answer the question, even if the context isn't helpful.",
-    ),
-    ChatMessage(
-        role=MessageRole.USER,
-        content=(
-            "We have the opportunity to refine the original answer "
-            "(only if needed) with some more context below.\n"
-            "------------\n"
-            "{context_msg}\n"
-            "------------\n"
-            "Given the new context, refine the original answer to better "
-            "answer the question: {query_str}. "
-            "If the context isn't useful, output the original answer again.\n"
-            "Original Answer: {existing_answer}"
+    chat_text_qa_msgs = [
+        ChatMessage(
+            role=MessageRole.SYSTEM,
+            content=(
+                "You have been trained on the Darknet Diaries podcast transcripts with data from october 6 2023."
+                "You are an expert about it and will answer as such. You know about every episode up to number 138."
+                "Always answer the question, even if the context isn't helpful."
+                "Mention the number and title of the episodes you are referring to."
+            )
         ),
-    ),
-]
-refine_template = ChatPromptTemplate(chat_refine_msgs)
+        ChatMessage(
+            role=MessageRole.USER,
+            content=(
+                "Context information is below.\n"
+                "---------------------\n"
+                "{context_str}\n"
+                "---------------------\n"
+                "Given the context information and not prior knowledge,"
+                "answer the question: {query_str}\n"
+            )
+        )
+    ]
+    text_qa_template = ChatPromptTemplate(chat_text_qa_msgs)
 
-chat_engine = index.as_chat_engine(
-    text_qa_template=text_qa_template,
-    refine_template=refine_template,
-    chat_mode=ChatMode.OPENAI
-)
+    chat_refine_msgs = [
+        ChatMessage(
+            role=MessageRole.SYSTEM,
+            content="Always answer the question, even if the context isn't helpful.",
+        ),
+        ChatMessage(
+            role=MessageRole.USER,
+            content=(
+                "We have the opportunity to refine the original answer "
+                "(only if needed) with some more context below.\n"
+                "------------\n"
+                "{context_msg}\n"
+                "------------\n"
+                "Given the new context, refine the original answer to better "
+                "answer the question: {query_str}. "
+                "If the context isn't useful, output the original answer again.\n"
+                "Original Answer: {existing_answer}"
+            ),
+        ),
+    ]
+    refine_template = ChatPromptTemplate(chat_refine_msgs)
 
-while True:
-    try:
-        chat_engine.chat_repl()
-    except KeyboardInterrupt:
-        break
+    chat_engine = index.as_chat_engine(
+        text_qa_template=text_qa_template,
+        refine_template=refine_template,
+        chat_mode=ChatMode.OPENAI
+    )
 
+    while True:
+        try:
+            chat_engine.chat_repl()
+        except KeyboardInterrupt:
+            break

requirements.txt

@@ -0,0 +1,16 @@
+# =====================
+# 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
+# =====================