From 77149b090c8e505ac01e1bfcdc3498e21604aea0 Mon Sep 17 00:00:00 2001 From: Rajtilak Bhattacharjee Date: Sun, 7 Jan 2024 11:05:26 +0530 Subject: [PATCH] Added docstrings --- app/cache/advert_1.mp3 | Bin 190800 -> 0 bytes app/cache/advert_2.mp3 | Bin 192672 -> 0 bytes app/cache/intro.mp3 | Bin 592704 -> 0 bytes app/cache/outro.mp3 | Bin 264384 -> 0 bytes app/cache/segment_1.mp3 | Bin 1259136 -> 0 bytes app/cache/segment_2.mp3 | Bin 1716912 -> 0 bytes app/cache/segment_3.mp3 | Bin 671040 -> 0 bytes app/cache/segue_1.mp3 | Bin 74736 -> 0 bytes app/cache/segue_2.mp3 | Bin 154656 -> 0 bytes app/cache/segue_3.mp3 | Bin 65088 -> 0 bytes app/generate_podcast.py | 27 +++++++++++++++++++++++++++ app/keepyourmouthshut.py | 21 +++++++++++++++++++++ app/utils/date_stuff.py | 14 ++++++++++++++ app/utils/edge_tts_stuff.py | 34 ++++++++++++++++++++++++++++++++++ app/utils/llmOS_stuff.py | 22 ++++++++++++++++++++++ app/utils/string_stuff.py | 17 +++++++++++++++++ 16 files changed, 135 insertions(+) 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zk12?l{Mlr=GGF>@a5rlfsWl?<7$Rd{_4wMlyyRm>9)jeC6Cg7jtV?aRQpPCGSH3l? z2c5pV(g0R63RS4w09CcUixVmmE({v`52xptbA^Bn@1B;)O}E&5Q)y#63-zr4%{E5; zn8D)nAR8g4>AtQeZQ~#99OaMr-D()YgzcGb(i)?g+_j*fYpS6FfISF1A|czjXUq5bAXy__tL z&k1{Q6&0t%kjvSfz_rG((^IpF|1S8(fy*XIQe{)33jLCW3!LdT$ifmQaHR~02jcE! zGXJXM=J{Z5R%1~;ZIeJ^f1(xHVv$6>%lLl-%nP8&`6$Ufgd}>XfgHIAPnb^uKRYi8 zjqs`}t*lhXAR8-k8qq_|j#UJf|M_oXdg?!6^Vt`V_i5`=;`Ctn2IPtG98s6QI==Zo zP8(EpepsciYVeDMREw@*g}+}axi~S-uN^xx*!MMQ(si8YhzJc@`t$|oAn$lvD5)xJa{|}s= zU+lAu9t7a{iT_vp|Fxd`czA?5c-Z5gp8s`2;OgripZ|sBkK-SoKPdic{NwXiEPtH; z`20cfSK}X_zhe30{Kw}HioY8F`1}>iALl str: + """ + Get the formatted string representation of tomorrow's date. + + Returns: + str: A string representing tomorrow's date in the format "YYYY-MM-DD". + + This function utilizes the `datetime` module to obtain tomorrow's date and returns + a string in the specified format. It is intended for use in generating file names + with dates, ensuring uniqueness. + + Example: + tomorrow_date_str = get_tomorrows_date_for_file_names() + # Output: "2022-01-08" (assuming today is "2022-01-07") + """ return datetime.now().strftime("%Y-%m-%d") diff --git a/app/utils/edge_tts_stuff.py b/app/utils/edge_tts_stuff.py index db8d651..86d03a3 100644 --- a/app/utils/edge_tts_stuff.py +++ b/app/utils/edge_tts_stuff.py @@ -5,11 +5,45 @@ async def converter(text, filename): + """ + Asynchronously convert text to an audio segment and save it as an MP3 file. + + Args: + text (str): The text to be converted to audio. + filename (str): The desired filename for the resulting MP3 file. + + This function utilizes an asynchronous approach to convert the given text into an audio + segment using the `edge_tts.Communicate` method with a specified voice. The resulting + audio segment is then saved as an MP3 file in the 'app/cache/' directory. + + Note: + - This function should be awaited when called. + + Example: + await converter("Hello, world!", "output.mp3") + """ audio_segment = edge_tts.Communicate(text, VOICE) await audio_segment.save("app/cache/" + filename) def convert_text_to_mp3(text, filename): + """ + Convert text to an audio segment and save it as an MP3 file. + + Args: + text (str): The text to be converted to audio. + filename (str): The desired filename for the resulting MP3 file. + + This function is a synchronous wrapper for the asynchronous `converter` function. It + sets up an event loop, runs the asynchronous function, and then closes the loop. + + Note: + - This function is suitable for use in synchronous code. + - For asynchronous contexts, it is recommended to use the `converter` function directly. + + Example: + convert_text_to_mp3("Hello, world!", "output.mp3") + """ loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) diff --git a/app/utils/llmOS_stuff.py b/app/utils/llmOS_stuff.py index 75ae91b..a5c52f1 100644 --- a/app/utils/llmOS_stuff.py +++ b/app/utils/llmOS_stuff.py @@ -10,6 +10,28 @@ def generate_response(system_prompt, user_prompt): + """ + Generate a response using the Mistral-7B instructive language model. + + Args: + system_prompt (str): System prompt for instructing the language model. + user_prompt (str): User prompt to guide the language model's response. + + Returns: + str: The generated response from the language model. + + This function sends a request to the Mistral-7B instructive language model API with the + provided system and user prompts. The generated response is extracted from the API + response and returned. + + Note: + - The Mistral-7B API key (llmos_api_key) and API endpoint (url) should be defined + before calling this function. + + Example: + response = generate_response("Provide information about", "What is the process of") + print(response) + """ payload = { "model": "mistral-7b-instruct", "messages": [ diff --git a/app/utils/string_stuff.py b/app/utils/string_stuff.py index 88be853..e283876 100644 --- a/app/utils/string_stuff.py +++ b/app/utils/string_stuff.py @@ -1,2 +1,19 @@ def script_header(string): + """ + Generate a formatted script header. + + Args: + string (str): The content to be included in the script header. + + Returns: + str: A formatted string representing the script header. + + This function takes a string as input and formats it into a script header by + capitalizing the input string, adding a colon, and placing it on a new line. + + Example: + header = script_header("intro") + print(header) + # Output: "\nINTRO:" + """ return f"\n{string.upper()}:\n"

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