I mean its the biggest commit I ever did (did git add * cause I didn't want to explain all of this It's already so complicated)

.gitignore

@@ -119,6 +119,7 @@ venv/
 ENV/
 env.bak/
 venv.bak/
+env.yaml
 
 # Spyder project settings
 .spyderproject
@@ -160,3 +161,4 @@ test/
 ideas/
 montageTEMP_MPY_wvf_snd.mp3
 marp.exe
+channels/

classes/channel.py

@@ -0,0 +1,148 @@
+import yaml
+import json
+import os
+import asyncio
+
+from utils.openaicaller import openai
+from utils.normalize_file import normalize_file as nf
+from utils.config import bcolors
+from utils.misc import clear_screen, open_explorer_here, realbcolors, printm
+
+from classes.video import Video
+
+desc_prompt = """Write an engaging and humorous description for the YouTube channel "[name]" that will be placed on the channel's about page. The description should aim to entice viewers to subscribe to the channel. It should be creative, captivating, and slightly longer, but still within a reasonable length. Try to keep it under 1,000 characters to ensure it remains concise and attention-grabbing. Make sure to incorporate the channel's subject, which is "[subject]" Remember that this description will not be part of the channel's videos.
+Answer exclusively with the description, and no other form of greeting or salutation, like "Sure, I'll do that!" or "Here's the description:".
+"""
+ideas_prompt = """You will generate a list of ideas of videos about [subject]. You will suggest topics for videos that will be created and posted on YouTube.
+You will output the list of ideas in a json format. The following fields will be included:
+- title
+- description
+Here is an example of the output:
+```
+[
+    {
+        "title": "TITLE OF THE VIDEO",
+        "description": "A video about something. Concept1 and concept2 are explained. Concept3 is also explained a bit. We also talk about this and this.
+    },
+    {
+        "title": "TITLE OF THE VIDEO",
+        "description": "A video about something. In this video we will create a thing. We will also see how that is possible. We will also talk about this and this.
+    },
+    {
+        "title": "TITLE OF THE VIDEO",
+        "description": "A video about something. We will create the following project, from a to z. We will see how to do this and this. We will also talk about this and this.
+    },
+    {
+        "title": "TITLE OF THE VIDEO",
+        "description": "A video about the story of how John Doe created a thing. We will see how he did it. We will also talk about this and this.
+    },
+]
+```
+You will not answer anything else in your message. Your answer will only be the json output, without any other text. This is very important. no codeblock, nothing like "Here are .....". Just the json. You will generate 10 ideas. You will never repeat yourself.
+Here are the existing ideas wich you should not repeat again.
+[existing ideas]
+"""
+
+if __name__ == "__main__":
+    from dotenv import load_dotenv
+    load_dotenv()
+    openai.set_api_key(os.getenv("OPENAI_API_KEY"))
+
+class Channel:
+    def __init__(self) -> None:
+        pass
+    async def create(self):
+        printm("We assume that you have a YouTube channel. If you don't, please create one before continuing.")
+        input("Press enter when you are ready.")
+        printm("Great, let's go!")
+        self.name = input(f"First, please tell me the name of your YouTube channel. Press enter when you are done:{bcolors.BOLD}{bcolors.OKCYAN} ")
+        printm(f"{bcolors.ENDC}", end="")
+        self.path = os.path.join("channels", f"{self.name}")
+        self.path = os.path.abspath(self.path)
+        if os.path.exists(self.path):
+            raise FileExistsError("Channel already exists")
+        os.makedirs(self.path)
+        printm(f"Great! {bcolors.BOLD}{self.name}{bcolors.ENDC} is a great name for a YouTube channel!")
+        self.subject = input(f"Now, please tell me the subject of your YouTube channel. Press enter when you are done:{bcolors.BOLD}{bcolors.OKCYAN} ")
+        printm(f"{bcolors.ENDC}", end="") # we use end="" to avoid a new line
+        printm(f"Great! {bcolors.BOLD}{self.subject}{bcolors.ENDC} is a great subject for a YouTube channel!")
+        printm("Now, I will generate a description for your channel. Please wait...")
+        response = await openai.generate_response(model="gpt-3.5-turbo", messages=[{'role':'user', 'content': desc_prompt.replace("[name]", self.name).replace("[subject]", self.subject)}], max_tokens=100, temperature=0.7, top_p=1, frequency_penalty=0, presence_penalty=0.6, stop=["\n\n"])
+        self.description  = response['choices'][0]['message']['content'] # type: ignore
+        printm(f"Great! Here is the description I generated for your channel: \n**{self.description}**")
+        printm(f"Now, please paste all the needed file(s) in the folder that will open. Press enter to open the folder.")
+        input()
+        open_explorer_here(self.path)
+        with open(f"{self.path}/description.txt", "w") as f:
+            f.write(self.description)
+            f.close()
+        self.data = {
+            "name": self.name,
+            "subject": self.subject,
+            "description": self.description,
+            "path": self.path,
+        }
+        await self.generate_ideas()
+
+        with open(f"{self.path}/channel.yaml", "w") as f:
+            yaml.dump(self.data, f)
+            f.close()
+        input(f"You can sleep now if you are tired. Press enter when you are awake and ready to continue {bcolors.BOLD}{bcolors.OKCYAN}:{bcolors.ENDC}{bcolors.BOLD}{bcolors.WARNING}){bcolors.ENDC}")
+        clear_screen()
+        return self.data
+
+    async def load(self, name):
+        self.name = name
+        self.path = f"channels/{name}"
+        if not os.path.exists(self.path):
+            raise FileNotFoundError("Channel not found")
+        with open(f"{self.path}/channel.yaml", "r") as f:
+            self.data = yaml.load(f, Loader=yaml.FullLoader)
+            f.close()
+        self.ideas = []
+        if os.path.exists(os.path.join(self.path, "ideas.json")):
+            with open(os.path.join(self.path, "ideas.json"), "r") as f:
+                self.ideas = json.load(f)
+                f.close()
+        self.name = self.data['name']
+        self.subject = self.data['subject']
+        self.description = self.data['description']
+        self.path = self.data['path']
+        return self.data
+
+    async def generate_ideas(self):
+        if not os.path.exists(os.path.join(self.path, "ideas.json")):
+            ideas = []
+        else:
+            with open(os.path.join(self.path, "ideas.json"), "r") as f:
+                ideas = json.load(f)
+                f.close()
+        response = await openai.generate_response(model="gpt-3.5-turbo", messages=[{'role':'user', 'content': ideas_prompt.replace("[subject]", self.subject).replace("[existing ideas]", "\n".join([f"- {idea['title']}" for idea in ideas]))}])
+        string_new_ideas = response['choices'][0]['message']['content'] # type: ignore
+        new_ideas = json.loads(string_new_ideas)
+        ideas += new_ideas
+        with open(os.path.join(self.path, "ideas.json"), "w") as f:
+            json.dump(ideas, f, indent=4)
+            f.close()
+        self.ideas = ideas
+        return ideas
+    
+    async def generate_video(self, idea):
+        #get the idea object from self.ideas
+        if not idea in self.ideas:
+            raise ValueError("Idea not found")
+        if not os.path.exists(os.path.join(self.path, "videos")):
+            os.makedirs(os.path.join(self.path, "videos"))
+        self.video = Video(idea, self)
+        await self.video.generate()
+        return self.video
+
+    
+
+if __name__ == "__main__":
+    
+    async def main():
+        channl = Channel()
+        await channl.create()
+    
+    asyncio.run(main())

classes/video.py

@@ -0,0 +1,66 @@
+import os
+import json
+import yaml
+
+from utils.openaicaller import openai
+from utils.normalize_file import normalize_file as nf
+from utils.config import bcolors
+from utils.misc import clear_screen, open_explorer_here, realbcolors, printm
+from utils.uploader import upload_video
+
+from generators.script import generate_script
+from generators.montage import mount, prepare
+from generators.thumbnail import generate_thumbnail
+
+class Video:
+    def __init__(self, idea, parent):
+        self.parent = parent # The parent class, which is a Channel class
+        self.id = None
+        self.url = None
+        self.script = None
+        self.path = None
+        self.idea = idea
+        self.title = self.idea['title']
+        self.description = self.idea['description']
+        self.metadata = None
+    
+    async def generate(self):
+        normalized_title = await nf(self.idea['title'])
+        self.path = os.path.join(self.parent.path, "videos", normalized_title)
+        if not os.path.exists( self.path):
+            os.makedirs( self.path)
+        script = None
+        if os.path.exists(os.path.join( self.path, "script.json")):
+            printm("Video script already exists. Do you want to overwrite it ?")
+            if input("y/N") == "y":
+                os.remove(os.path.join( self.path, "script.json"))
+    
+        if not os.path.exists(os.path.join( self.path, "script.json")):
+            script = await generate_script(self.idea['title'], self.idea['description'])
+            with open(os.path.join( self.path, "script.json"), "w") as f:
+                json.dump(json.loads(script), f)
+                f.close()
+        else:
+            with open(os.path.join( self.path, "script.json"), "r") as f:
+                script = json.load(f)
+                f.close()
+        await prepare( self.path)
+        credits = await mount(self.path, script)
+        self.metadata = {
+            "title": self.idea['title'],
+            "description": self.idea['description'] + "\n\n" + credits,
+        }
+        await generate_thumbnail( self.path, self.idea['title'], self.idea['description'])
+        videoid = await upload_video( self.path, self.idea['title'], self.metadata['description'], 28, "", "private", self.path)
+        printm(f"Your video is ready! You can find it in { self.path}")
+        video_meta_file = {
+            "title": self.idea['title'],
+            "description": self.metadata['description'],
+            "id": videoid,
+            "path":  self.path,
+            "url": f"https://www.youtube.com/watch?v={videoid}",
+        }
+        with open(os.path.join( self.path, "video.yaml"), "w") as f:
+            yaml.dump(video_meta_file, f)
+            f.close()
+        return video_meta_file

generators/ideas.py

@@ -1,10 +1,6 @@
-import openai 
-import os
 import json
-from dotenv import load_dotenv
+from utils.openaicaller import openai
-load_dotenv()
 
-openai.api_key = os.getenv("OPENAI_API_KEY")
 with open('prompts/ideas.txt') as f:
     prompt = f.read()
     f.close()
@@ -25,13 +21,13 @@ async def generate_ideas(path, subject):
         exuisting_ideas += f"{idea['title']}\n"
     prmpt = prmpt.replace('[existing ideas]', exuisting_ideas)
     print(prmpt)
-    response = await openai.ChatCompletion.acreate(
+    response = await openai.generate_response(
         model="gpt-3.5-turbo",
         messages=[
             {"role":"user","content":prmpt},
         ],
         )
-    json_in_str= response['choices'][0]['message']['content']
+    json_in_str= response['choices'][0]['message']['content'] # type: ignore
     json_obj = json.loads(json_in_str)
     for idea in json_obj:
         ides_json.append(idea)

generators/montage.py

@@ -2,22 +2,22 @@ import json
 import os
 import requests
 import pysrt
-import deepl
 import random
 
 from generators.speak import generate_voice, voices
 from moviepy.video.VideoClip import ImageClip
-from moviepy.editor import VideoFileClip, concatenate_videoclips, CompositeAudioClip, concatenate_audioclips
+from moviepy.editor import concatenate_videoclips, CompositeAudioClip, concatenate_audioclips
 from moviepy.audio.io.AudioFileClip import AudioFileClip
 from moviepy.audio.fx.all import volumex, audio_fadein, audio_fadeout # type: ignore
-from dotenv import load_dotenv
+from utils.misc import getenv
-load_dotenv()
-unsplash_access = os.getenv("UNSPLASH_ACCESS_KEY") or "UNSPLASH_ACCESS_KEY"
-unsplash_url = "https://api.unsplash.com/photos/random/?client_id=" + unsplash_access + "&query="
-deepl_access = os.getenv("DEEPL_ACCESS_KEY") or "DEEPL_ACCESS_KEY"
-translator = deepl.Translator(deepl_access)
 
-def prepare(path):
+
+unsplash_access = getenv("unsplash_access_key")
+if not unsplash_access:
+    raise Exception("UNSPLASH_ACCESS_KEY is not set in .env file")
+unsplash_url = "https://api.unsplash.com/photos/random/?client_id=" + unsplash_access + "&query="
+
+async def prepare(path):
     with open(path + "/script.json", 'r', encoding='utf-8') as f:
         script = json.load(f)
         f.close()
@@ -94,7 +94,7 @@ def subs(length, total, text, srt, index):
     srt.append(sub)
     return srt
 
-def mount(path, script):
+async def mount(path, script):
     if not os.path.exists(path + "/montage.mp4"):
         num_slides = len(os.listdir(path + "/audio"))
         clips = []

generators/script.py

@@ -1,20 +1,20 @@
 import os
-import openai
-from dotenv import load_dotenv
-load_dotenv()
 
-openai.api_key = os.getenv("OPENAI_API_KEY")
+from utils.openaicaller import openai
+
+with open('prompts/script.txt') as f:
+    global_prompt = f.read()
+    f.close()
 
 async def generate_script(title, description):
-    with open('prompts/script.txt') as f:
+    prompt = global_prompt
-        prompt = f.read()
-        f.close()
     prompt = prompt.replace("[title]", title)
     prompt = prompt.replace("[description]", description)
-    response = await openai.ChatCompletion.acreate(
+    '''response = await openai.ChatCompletion.acreate(
         model="gpt-4",
         messages=[
             {"role":"user","content":prompt}
         ],
-        )
+        )''' # Deprecated. Use openaicaller.py instead
-    return response['choices'][0]['message']['content']
+    response = await openai.generate_response(model="gpt-4", messages=[{'role':'user', 'content': prompt}])
+    return response['choices'][0]['message']['content'] # type: ignore

generators/thumbnail.py

@@ -1,13 +1,10 @@
-import openai
+import random
 import os
 
-from PIL import Image, ImageDraw, ImageFont
-import random
-from dotenv import load_dotenv
 from PIL import Image
-load_dotenv()
+from PIL import Image, ImageDraw, ImageFont
 
-openai.api_key = os.getenv("OPENAI_API_KEY")
+from utils.openaicaller import openai
 '''
 Putpose of this file is to generate a miniature of the video.
 It has a function that takes a path, title, and description and generates a miniature.
@@ -30,11 +27,12 @@ Answer without anything else, just with the 2 textes. Answer with text1 on the f
 Here is the title of the video: [TITLE]
 Here is the description of the video: [DESCRIPTION]'''
 
-def rand_gradient(image):
+async def rand_gradient(image):
     randr = random.SystemRandom().randint(1, 20)
     randg = random.SystemRandom().randint(1, 20)
     randb = random.SystemRandom().randint(1, 20)
-
+    textcolor1 = [0, 0, 0]
+    textcolor2 = [0, 0, 0]
     for i in range(image.size[0]):
         for j in range(image.size[1]):
             colors = [i//randr, j//randg, i//randb]
@@ -47,20 +45,19 @@ def rand_gradient(image):
             image.putpixel((i,j), (colors[0], colors[1], colors[2]))
     return image, textcolor1, textcolor2
 
-def generate_miniature(path, title, description):
+async def generate_thumbnail(path, title, description):
     prmpt = prompt.replace("[TITLE]", title).replace("[DESCRIPTION]", description)
-    response = openai.ChatCompletion.create(
+    response = openai.generate_response(
         model="gpt-4",
         messages=[
             {"role":"user","content":prmpt},
         ],
         )
-    response['choices'][0]['message']['content']
+    text1 = response['choices'][0]['message']['content'].split("\n")[0] # type: ignore
-    text1 = response['choices'][0]['message']['content'].split("\n")[0]
+    text2 = response['choices'][0]['message']['content'].split("\n")[1] # type: ignore
-    text2 = response['choices'][0]['message']['content'].split("\n")[1]
+    await generate_image(path, text1, text2)
-    generate_image(path, text1, text2)
 
-def generate_image(path, text1, text2):
+async def generate_image(path, text1, text2):
     path_to_bcg = path.split("/")[:-1]
     path_to_bcg = "/".join(path_to_bcg)
     print(path_to_bcg)
@@ -71,7 +68,7 @@ def generate_image(path, text1, text2):
             exit()
     bcg = Image.open(f"{path_to_bcg}/bcg.png")
     img = Image.new('RGBA', (1920, 1080))
-    img, textcolor1, textcolor2 = rand_gradient(img)
+    img, textcolor1, textcolor2 = await rand_gradient(img)
     draw = ImageDraw.Draw(img)
     font1 = ImageFont.truetype("./Sigmar-Regular.ttf", 200)
     font2 = ImageFont.truetype("./Sigmar-Regular.ttf", 200)

main.py

@@ -1,79 +1,71 @@
 import os
-import json
 import asyncio
 import logging
+import yaml
 
-from generators.ideas import generate_ideas
+from classes.channel import Channel
-from generators.script import generate_script
+from utils.config import loadingmessage, bcolors
-from generators.montage import mount, prepare
+from utils.misc import clear_screen, printm, getenv
-from generators.miniature import generate_miniature
+from utils.openaicaller import openai
-from generators.uploader import upload_video
 
 logging.basicConfig(level=logging.INFO)
 
 async def main():
-    if not os.path.exists('videos'): os.makedirs('videos')
+    printm("Loading...")
-    with open('env/subjects.txt', 'r', encoding='utf-8') as f:
+    await asyncio.sleep(1)
-        subjects = f.read().splitlines()
+    clear_screen()
-        f.close()
+    printm(loadingmessage)
-    for i in range(len(subjects)):
+    await asyncio.sleep(4)
-        print(str(i) + ". " + subjects[i])
+    clear_screen()
-    subject = int(input("Which subject do you want to generate ideas for? (enter the number): "))
+    await asyncio.sleep(1)
-    subject = subjects[subject]
+    printm("Welcome in FABLE, the Film and Artistic Bot for Lively Entertainment!")
-    subjectdirpath = "videos/" + subject[:25].replace(" ", "_").replace(":", "")
+    await asyncio.sleep(1)
-    if not os.path.exists(subjectdirpath): 
+    printm(f"This program will generate for you complete {bcolors.FAIL}{bcolors.BOLD}YouTube{bcolors.ENDC} videos, as well as uploading them to YouTube.")
-        os.makedirs(subjectdirpath)
+    if not os.path.exists('env.yaml'):
-        input("It looks like it is the first time you are generating ideas for this subject. The requiered folder has been created. Press enter to continue.")
+        printm("It looks like you don't have an OpenAI API key yet. Please paste it here:")
-        input("Please put all the requiered google credentials files in that folder. Press enter to continue.")
+        openai_api_key = input("Paste the key here: ")
-        input("Please put a file called bcg.png in that folder. It will be used as the background of the thumbnails. Press enter to continue.")
+        openai.set_api_key(openai_api_key)
-    if input("Do you want to generate new ideas? (y/N): ") == "y":
+        printm("Please also paste your unsplash access key here:")
-        await generate_ideas(subjectdirpath, subject)
+        unsplash_access_key = input("Paste the key here: ")
-    with open(subjectdirpath + '/ideas.json', 'r', encoding='utf-8') as f:
+        env_file = {
-        ideas = json.load(f)
+            "openai_api_key": openai_api_key,
-        f.close()
+            "unsplash_access_key": unsplash_access_key
-    existing = []
+        }
-    new = []
+        with open('env.yaml', 'w') as f:
-    for i in ideas:
+            yaml.dump(env_file, f)
-        if os.path.exists(subjectdirpath + "/" + i['title'][:25].replace(" ", "_").replace(":", "") + "/script.json"):
+            f.close()
-            existing.append(i)
-        else:
-            new.append(i)
-    print("Existing ideas:")
-    for i in range(len(existing)):
-        print(str(i) + ". " + existing[i]['title'])
-    print("New ideas:")
-    for i in range(len(new)):
-        print(str(i + len(existing)) + ". " + new[i]['title'])
-    idea = int(input("Which idea do you want to generate a script for? (enter the number): "))
-    if idea < len(existing):
-        idea = existing[idea]
     else:
-        idea = new[idea - len(existing)]
+        openai_api_key = getenv('openai_api_key')
-    title = idea['title']
+        openai.set_api_key(openai_api_key)
-    title = title[:25]
+    channels = os.listdir('channels')
-    i = 0
+    if len(channels) == 0:
-    path = subjectdirpath + "/" + title
+        printm("It looks like you don't have any channels yet. Let's create one!")
-    path = path.replace(" ", "_").replace(":", "")
+        channel = Channel()
-    if not os.path.exists(path + "/script.json"):
+        await channel.create()
-        script = await generate_script(idea['title'], idea['description'])
+    else:
-        if os.path.exists(path) and os.path.exists(path + "/script.json"):
+        printm("Here are your channels:")
-            if input("There is already a script for this idea. Do you want to overwrite it? (y/n)") != "y":
+        for i, channel in enumerate(channels):
-                print("Exiting...")
+            printm(f"{i+1}. {channel}")
-                exit(1)
+        printm(f"{len(channels)+1}. Create a new channel")
-        if not os.path.exists(path): os.makedirs(path)
+        index = input("Which channel do you want to use : ")
-        with open(path + "/script.json", 'w', encoding='utf-8') as f:
+        if index == str(len(channels)+1):
-            f.write(script)
+            channel = Channel()
-            f.close()
+            await channel.create()
-    script = prepare(path)
+        else:
-    credits = mount(path, script)
+            channel_name = channels[int(index)-1]
-    description = f"{idea['description']}\n\nMusic credits: {credits}"
+            channel = Channel()
-    if credits != None:
+            await channel.load(channel_name)
-        with open(path + "/meta.txt", 'w', encoding='utf-8') as f:
+    printm("Now, let's create a video!")
-            f.write(description)
+    printm("Here are all the ideas you have:")
-            f.close()
+    for i, idea in enumerate(channel.ideas):
-    generate_miniature(path, title=idea['title'], description=idea['description'])
+        printm(f"{i+1}. {idea['title']}")
-    upload_video(path, idea['title'], description, 28, "", "private", subjectdirpath)
+    index = input("Which idea do you want to create a video for : ")
-    print(f"Your video is ready! You can find it in {path}.")
+    idea = channel.ideas[int(index)-1]
-
+    video = await channel.generate_video(idea)
+    printm("Done!")
+    printm("Here is the video:")
+    printm(video.url)
 if __name__ == "__main__":
-    asyncio.run(main())
+    loop = asyncio.get_event_loop()
+    loop.run_until_complete(main())
+    loop.close()

utils/config.py

@@ -0,0 +1,35 @@
+class bcolors:
+    HEADER = '\033[95m'
+    OKBLUE = '\033[94m'
+    OKCYAN = '\033[96m'
+    OKGREEN = '\033[92m'
+    WARNING = '\033[93m'
+    FAIL = '\033[91m'
+    ENDC = '\033[0m'
+    BOLD = '\033[1m'
+    UNDERLINE = '\033[4m'
+
+loadingmessage = f"""{bcolors.OKGREEN}
+   ▄████████    ▄████████ ▀█████████▄   ▄█          ▄████████ 
+  ███    ███   ███    ███   ███    ███ ███         ███    ███ 
+  ███    █▀    ███    ███   ███    ███ ███         ███    █▀  
+ ▄███▄▄▄       ███    ███  ▄███▄▄▄██▀  ███        ▄███▄▄▄     
+▀▀███▀▀▀     ▀███████████ ▀▀███▀▀▀██▄  ███       ▀▀███▀▀▀     
+  ███          ███    ███   ███    ██▄ ███         ███    █▄  
+  ███          ███    ███   ███    ███ ███▌    ▄   ███    ███ 
+  ███          ███    █▀  ▄█████████▀  █████▄▄██   ██████████ 
+                                       ▀                      
+{bcolors.ENDC}{bcolors.OKBLUE}Film and Artistic Bot for Lively Entertainment{bcolors.ENDC}
+{bcolors.OKCYAN}
+Made with 💖 by: *@paillat-dev*
+https://paillat.dev
+
+Thanks to *@Code7G* for the suggestions!
+
+Thanks to *ChatGPT* for the name suggestions!
+
+{bcolors.ENDC}
+"""
+
+if __name__ == '__main__':
+    print(loadingmessage)

utils/misc.py

@@ -0,0 +1,89 @@
+import os
+import yaml
+
+clear_screen = lambda: os.system('cls' if os.name == 'nt' else 'clear')
+open_explorer_here = lambda path: os.system(f'explorer.exe "{path}"' if os.name == 'nt' else f'open "{path}"')
+
+class bcolors:
+    HEADER = '\033[95m'
+    OKBLUE = '\033[94m'
+    OKCYAN = '\033[96m'
+    OKGREEN = '\033[92m'
+    WARNING = '\033[93m'
+    FAIL = '\033[91m'
+    ENDC = '\033[0m'
+    BOLD = '\033[1m'
+    UNDERLINE = '\033[4m'
+
+class realbcolors:
+    PURPLE = '\033[95m'
+    BLUE = '\033[94m'
+    CYAN = '\033[96m'
+    GREEN = '\033[92m'
+    YELLOW = '\033[93m'
+    RED = '\033[91m'
+    ENDC = '\033[0m'
+    BOLD = '\033[1m'
+    UNDERLINE = '\033[4m'
+
+def printm(*args, **kwargs):
+    result = ''
+    underline_counter = 0
+    bold_counter = 0
+    sep = kwargs.get('sep', ' ')
+    text = sep.join([str(arg) for arg in args])
+    i = 0
+    while i < len(text):
+        if text[i:].startswith('$***'):
+            result += text[i:i+4].replace('$', '')
+            i += 4
+            continue
+        elif text[i:].startswith('$**'):
+            result += text[i:i+3].replace('$', '')
+            i += 3
+            continue
+        elif text[i:].startswith('$*'):
+            result += text[i:i+2].replace('$', '')
+            i += 2
+            continue
+        elif text[i:].startswith('***'):
+            if bold_counter % 2 == 0 and underline_counter % 2 == 0:
+                result += bcolors.BOLD + bcolors.UNDERLINE
+            elif bold_counter % 2 == 0:
+                result += bcolors.BOLD
+            elif underline_counter % 2 == 0:
+                result += bcolors.UNDERLINE
+            else:
+                result += bcolors.ENDC
+            i += 3
+            bold_counter += 1
+            underline_counter += 1
+            continue
+        elif text[i:].startswith('**'):
+            if bold_counter % 2 == 0:
+                result += bcolors.BOLD
+            else:
+                result += bcolors.ENDC
+            i += 2
+            bold_counter += 1
+            continue
+        elif text[i:].startswith('*'):
+            if underline_counter % 2 == 0:
+                result += bcolors.UNDERLINE
+            else:
+                result += bcolors.ENDC
+            i += 1
+            underline_counter += 1
+            continue
+
+        result += text[i]
+        i += 1
+
+    result += bcolors.ENDC  # Ensure the formatting is reset at the end
+
+    print(text, **kwargs)
+
+def getenv(var, default=None):
+    with open('env.yaml', 'r') as f:
+        env = yaml.safe_load(f)
+    return env.get(var, default)

utils/normalize_file.py

@@ -0,0 +1,8 @@
+import re
+
+async def normalize_file(filename):
+    filename = re.sub(r'[<>:"|?*\s]', '_', filename)
+    #also shorten the filename if it's too long
+    if len(filename) > 30:
+        filename = filename[:27] + "___"
+    return filename

utils/openaicaller.py

@@ -0,0 +1,110 @@
+"""
+This file provides a Python module that wraps the OpenAI API for making API calls.
+
+The module includes:
+
+- Functions for generating responses using chat-based models and handling API errors.
+- Constants for chat and text models and their maximum token limits.
+- Imports for required modules, including OpenAI and asyncio.
+- A color formatting class, `bcolors`, for console output.
+
+The main component is the `openai_caller` class with methods:
+- `__init__(self, api_key=None)`: Initializes an instance of the class and sets the API key if provided.
+- `set_api_key(self, key)`: Sets the API key for OpenAI.
+- `generate_response(self, **kwargs)`: Asynchronously generates a response based on the provided arguments.
+- `chat_generate(self, **kwargs)`: Asynchronously generates a chat-based response, handling token limits and API errors.
+
+The module assumes the presence of `num_tokens_from_messages` function in a separate module called `utils.tokens`, used for token calculation.
+
+Refer to function and method documentation for further details.
+"""
+
+
+import openai as openai_module
+import asyncio
+
+from openai.error import APIError, Timeout, RateLimitError, APIConnectionError, InvalidRequestError, AuthenticationError, ServiceUnavailableError
+from utils.tokens import num_tokens_from_messages
+
+class bcolors:
+    HEADER = '\033[95m'
+    OKBLUE = '\033[94m'
+    OKCYAN = '\033[96m'
+    OKGREEN = '\033[92m'
+    WARNING = '\033[93m'
+    FAIL = '\033[91m'
+    ENDC = '\033[0m'
+    BOLD = '\033[1m'
+    UNDERLINE = '\033[4m'
+
+chat_models = ["gpt-4", "gpt-4-32k", "gpt-3.5-turbo", "gpt-3.5-turbo-16k"]
+text_models = ["text-davinci-003", "text-davinci-002", "text-curie-001", "text-babbage-001", "text-ada-001"]
+
+models_max_tokens = {
+    "gpt-4": 8_192,
+    "gpt-4-32k": 32_768,
+    "gpt-3.5-turbo": 4_096,
+    "gpt-3.5-turbo-16k": 16_384,
+    "text-davinci-003": 4_097,
+    "text-davinci-002": 4_097,
+    "text-curie-001": 2_049,
+    "text-babbage-001": 2_049,
+    "text-ada-001": 2_049,
+}
+
+class openai_caller:
+    def __init__(self, api_key=None) -> None:
+        pass
+    def set_api_key(self, key):
+        openai_module.api_key = key
+    async def generate_response(self, **kwargs):
+        if kwargs['model'] in chat_models:
+            return await self.chat_generate(**kwargs)
+        elif kwargs['model'] in text_models:
+            raise NotImplementedError("Text models are not supported yet")
+        else:
+            raise ValueError("Model not found")
+    async def chat_generate(self, **kwargs):
+        tokens = await num_tokens_from_messages(kwargs['messages'], kwargs['model'])
+        model_max_tokens = models_max_tokens[kwargs['model']]
+        while tokens > model_max_tokens:
+            kwargs['messages'] = kwargs['messages'][1:]
+            print(f"{bcolors.BOLD}{bcolors.WARNING}Warning: Too many tokens. Removing first message.{bcolors.ENDC}")
+            tokens = await num_tokens_from_messages(kwargs['messages'], kwargs['model'])
+        i = 0
+        response = None
+        while i < 10:
+            try:
+                response = await openai_module.ChatCompletion.acreate(**kwargs)
+                break
+            except APIError:
+                await asyncio.sleep(10)
+                i += 1
+            except Timeout:
+                await asyncio.sleep(10)
+                i += 1
+            except RateLimitError:
+                await asyncio.sleep(10)
+                i += 1
+            except APIConnectionError as e:
+                print(e)
+                print(f"\n\n{bcolors.BOLD}{bcolors.FAIL}APIConnectionError. There is an issue with your internet connection. Please check your connection.{bcolors.ENDC}")
+                raise e
+            except InvalidRequestError as e:
+                print(e)
+                print(f"\n\n{bcolors.BOLD}{bcolors.FAIL}InvalidRequestError. Please check your request.{bcolors.ENDC}")
+                raise e
+            except AuthenticationError as e:
+                print(e)
+                print(f"\n\n{bcolors.BOLD}{bcolors.FAIL}AuthenticationError. Please check your API key.{bcolors.ENDC}")
+                raise e
+            except ServiceUnavailableError:
+                await asyncio.sleep(10)
+                i += 1
+            finally:
+                if i == 10:
+                    print(f"\n\n{bcolors.BOLD}{bcolors.FAIL}OpenAI API is not responding. Please try again later.{bcolors.ENDC}")
+                    raise TimeoutError
+        return response
+    
+openai = openai_caller()

utils/uploader.py

@@ -7,6 +7,7 @@ import os
 import random
 import time
 import json
+import asyncio
 
 import google.oauth2.credentials
 import google_auth_oauthlib.flow
@@ -37,7 +38,7 @@ VALID_PRIVACY_STATUSES = ('public', 'private', 'unlisted')
 
 
 # Authorize the request and store authorization credentials.
-def get_authenticated_service(credentialsPath=""):
+async def get_authenticated_service(credentialsPath=""):
     CLIENT_SECRETS_FILE=f'{credentialsPath}/client_secret.json'
     if os.path.exists(f'{credentialsPath}/credentials.json'):
         with open(f'{credentialsPath}/credentials.json') as json_file:
@@ -59,7 +60,7 @@ def get_authenticated_service(credentialsPath=""):
     return build(API_SERVICE_NAME, API_VERSION, credentials=credentials)
 
 
-def initialize_upload(youtube, options):
+async def initialize_upload(youtube, options):
     tags = None
     if options['keywords']:
         tags = options['keywords'].split(',')
@@ -89,7 +90,7 @@ def initialize_upload(youtube, options):
     return videoid
 
 
-def resumable_upload(request):
+async def resumable_upload(request):
     response = None
     error = None
     retry = 0
@@ -122,9 +123,9 @@ def resumable_upload(request):
             max_sleep = 2 ** retry
             sleep_seconds = random.random() * max_sleep
             print('Sleeping %f seconds and then retrying...' % sleep_seconds)
-            time.sleep(sleep_seconds)
+            await asyncio.sleep(sleep_seconds)
 
-def upload_video(path, title, description, category, keywords, privacyStatus='private', credentials_path=""):
+async def upload_video(path, title, description, category, keywords, privacyStatus='private', credentials_path=""):
     options = {
         'file': path +"/montage.mp4",
         'title': title,
@@ -133,16 +134,17 @@ def upload_video(path, title, description, category, keywords, privacyStatus='pr
         'keywords': keywords,
         'privacyStatus': privacyStatus
     }
-    youtube = get_authenticated_service(credentials_path)
+    youtube = await get_authenticated_service(credentials_path)
     try:
-        videoid = initialize_upload(youtube, options)
+        videoid = await initialize_upload(youtube, options)
+        await upload_thumbnail(videoid, path + "/miniature.png", credentials_path)
+        return videoid
     except HttpError as e:
         print('An HTTP error %d occurred:\n%s' % (e.resp.status, e.content))
-    upload_thumbnail(videoid, path + "/miniature.png", credentials_path)
 
-def upload_thumbnail(video_id, file, credentials_path=""):
+async def upload_thumbnail(video_id, file, credentials_path=""):
     youtube = get_authenticated_service(credentials_path)
-    youtube.thumbnails().set(
+    youtube.thumbnails().set( # type: ignore
         videoId=video_id,
         media_body=file
     ).execute()