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chore: Update project configuration and dependencies
- Updated project configuration to remove dependencies on `openai` and `anthropic` - Refactored code related to setting API keys and removed unnecessary configuration options - Removed redundant files and updated package versions in `requirements.txt`
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‎.transcribe.yaml‎

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@@ -1,38 +1,4 @@
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use_assemblyai: true
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openai:
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models:
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- temperature: 0.1
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max_tokens: 2048
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model: gpt-4
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system_prompt: Generate a summary with key points in bold and a Next Steps section,
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use Markdown, be a concise tech expert but kind to non-technical readers.
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- temperature: 0.3
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max_tokens: 2048
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model: gpt-4
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system_prompt: Generate a summary with key points in bold and a Next Steps section,
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use Markdown, be a concise tech expert but kind to non-technical readers.
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- temperature: 0.5
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max_tokens: 2048
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model: gpt-4
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system_prompt: Generate a summary with key points in bold and a Next Steps section,
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use Markdown, be a concise tech expert but kind to non-technical readers.
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anthropic:
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models:
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- temperature: 0.1
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max_tokens: 2048
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model: claude-3-sonnet-20240229
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system_prompt: Generate a summary with key points in bold and a Next Steps section,
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use Markdown, be a concise tech expert but kind to non-technical readers.
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- temperature: 0.3
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max_tokens: 2048
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model: claude-3-sonnet-20240229
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system_prompt: Generate a summary with key points in bold and a Next Steps section,
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use Markdown, be a concise tech expert but kind to non-technical readers.
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- temperature: 0.5
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max_tokens: 2048
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model: claude-3-sonnet-20240229
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system_prompt: Generate a summary with key points in bold and a Next Steps section,
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use Markdown, be a concise tech expert but kind to non-technical readers.
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input_folder: input
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output_folder: output

‎pyproject.toml‎

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@@ -21,8 +21,6 @@ dependencies = [
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"halo",
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"yamale",
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"tenacity",
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"openai",
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"anthropic",
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]
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[project.urls]

‎requirements.txt‎

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@@ -1,5 +1,4 @@
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annotated-types==0.6.0
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anthropic==0.21.3
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anyio==4.4.0
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argcomplete==3.2.3
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assemblyai==0.34.0

‎transcribe_me/cli.py‎

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@@ -1,7 +1,6 @@
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import argparse
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from transcribe_me.config import config_manager
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from transcribe_me.audio import transcription
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from transcribe_me.summarization import summarizer
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def parse_arguments():
@@ -11,7 +10,7 @@ def parse_arguments():
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parser.add_argument(
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"command",
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nargs="?",
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choices=["install", "archive", "only"],
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choices=["install", "archive"],
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help="Install the configuration file or archive files.",
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)
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parser.add_argument(
@@ -45,12 +44,7 @@ def main():
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input_folder = args.input
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output_folder = args.output
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if args.command == "only":
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transcription.process_audio_files(input_folder, output_folder, config)
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return
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transcription.process_audio_files(input_folder, output_folder, config)
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summarizer.generate_summaries(input_folder, output_folder, config)
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if __name__ == "__main__":

‎transcribe_me/config/config_manager.py‎

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@@ -8,7 +8,6 @@
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from colorama import Fore
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OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
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ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY")
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ASSEMBLYAI_API_KEY = os.environ.get("ASSEMBLYAI_API_KEY")
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DEFAULT_OUTPUT_FOLDER = "output"
@@ -65,62 +64,6 @@ def install_config() -> None:
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config = {
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"use_assemblyai": False,
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"openai": {
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"models": [
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{
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"temperature": 0.1,
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"max_tokens": 2048,
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"model": "gpt-4",
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"system_prompt": """
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Generate a summary with key points in bold and a Next Steps section, use Markdown, be a concise tech expert but kind to non-technical readers.
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""",
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},
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{
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"temperature": 0.3,
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"max_tokens": 2048,
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"model": "gpt-4",
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"system_prompt": """
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Generate a summary with key points in bold and a Next Steps section, use Markdown, be a concise tech expert but kind to non-technical readers.
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""",
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},
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{
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"temperature": 0.5,
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"max_tokens": 2048,
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"model": "gpt-4",
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"system_prompt": """
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Generate a summary with key points in bold and a Next Steps section, use Markdown, be a concise tech expert but kind to non-technical readers.
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""",
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},
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]
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},
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"anthropic": {
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"models": [
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{
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"temperature": 0.1,
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"max_tokens": 2048,
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"model": "claude-3-sonnet-20240229",
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"system_prompt": """
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Generate a summary with key points in bold and a Next Steps section, use Markdown, be a concise tech expert but kind to non-technical readers.
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""",
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},
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{
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"temperature": 0.3,
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"max_tokens": 2048,
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"model": "claude-3-sonnet-20240229",
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"system_prompt": """
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Generate a summary with key points in bold and a Next Steps section, use Markdown, be a concise tech expert but kind to non-technical readers.
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""",
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},
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{
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"temperature": 0.5,
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"max_tokens": 2048,
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"model": "claude-3-sonnet-20240229",
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"system_prompt": """
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Generate a summary with key points in bold and a Next Steps section, use Markdown, be a concise tech expert but kind to non-technical readers.
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""",
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},
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]
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},
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"input_folder": DEFAULT_INPUT_FOLDER,
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"output_folder": DEFAULT_OUTPUT_FOLDER,
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}
@@ -133,14 +76,6 @@ def install_config() -> None:
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os.environ["OPENAI_API_KEY"] = openai_key
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append_to_shell_profile(f"export OPENAI_API_KEY={openai_key}")
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if not ANTHROPIC_API_KEY:
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print(
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f"{Fore.YELLOW}Looks like you haven't set your Anthropic API key. We'll set it up for you."
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)
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anthropic_key = input(f"{Fore.CYAN}Enter your Anthropic API key: ")
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os.environ["ANTHROPIC_API_KEY"] = anthropic_key
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append_to_shell_profile(f"export ANTHROPIC_API_KEY={anthropic_key}")
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if not ASSEMBLYAI_API_KEY:
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print(
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f"{Fore.YELLOW}Looks like you haven't set your AssemblyAI API key. We'll set it up for you."

‎transcribe_me/config/schema.yaml‎

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use_assemblyai: bool()
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openai:
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models: list(include('model'), min=1)
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anthropic:
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models: list(include('model'), min=1)
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input_folder: str()
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output_folder: str()
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---
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model:
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temperature: num(min=0, max=1)
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max_tokens: int(min=1)
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model: str()
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system_prompt: str()

‎transcribe_me/summarization/__init__.py‎

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‎transcribe_me/summarization/summarizer.py‎

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