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Runtime error
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Updated version
Browse files- app.py +214 -0
- requirements.txt +72 -0
app.py
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| 1 |
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import gradio as gr
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from openai import OpenAI
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import threading as th
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import os
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os.environ['OPENAI_API_KEY']="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"
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client = OpenAI(api_key=os.environ['OPENAI_API_KEY'])
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def translateoutput(text,language):
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completion = client.chat.completions.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": f"You will be provided with a sentence in English, and your task is to translate it into {language}."},
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{"role": "user", "content":text}
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]
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)
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return completion.choices[0].message.content
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# Initialize a global variable to hold previous output
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language_info={
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'Afrikaans': 'af',
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'English': 'en',
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'Arabic': 'ar',
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'Armenian': 'hy',
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'Azerbaijani': 'az',
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'Belarusian': 'be',
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'Bosnian': 'bs',
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'Bulgarian': 'bg',
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'Catalan': 'ca',
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'Chinese': 'zh',
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'Croatian': 'hr',
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'Czech': 'cs',
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'Danish': 'da',
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'Dutch': 'nl',
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'English': 'en',
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'Estonian': 'et',
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'Finnish': 'fi',
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'French': 'fr',
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'Galician': 'gl',
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'German': 'de',
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'Greek': 'el',
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'Hebrew': 'he',
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'Hindi': 'hi',
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'Hungarian': 'hu',
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'Icelandic': 'is',
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'Indonesian': 'id',
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'Italian': 'it',
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'Japanese': 'ja',
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'Kannada': 'kn',
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'Kazakh': 'kk',
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'Korean': 'ko',
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'Latvian': 'lv',
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'Lithuanian': 'lt',
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'Macedonian': 'mk',
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'Malay': 'ms',
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'Marathi': 'mr',
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'Maori': 'mi',
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'Nepali': 'ne',
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'Norwegian': 'no',
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'Persian': 'fa',
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'Polish': 'pl',
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'Portuguese': 'pt',
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'Romanian': 'ro',
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'Russian': 'ru',
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'Serbian': 'sr',
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'Slovak': 'sk',
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'Slovenian': 'sl',
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'Spanish': 'es',
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'Swahili': 'sw',
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'Swedish': 'sv',
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'Tagalog': 'tl',
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'Tamil': 'ta',
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'Thai': 'th',
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'Turkish': 'tr',
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'Ukrainian': 'uk',
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'Urdu': 'ur',
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'Vietnamese': 'vi',
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'Welsh': 'cy',
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'Other': 'Other'
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}
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def translate(audio_file,lan):
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message=""
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au=open(audio_file, 'rb')
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result = client.audio.translations.create(file=au,model="whisper-1")
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text=result.text
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# translation_text += text
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if lan=="English" or lan=="Other" or text=="":
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message=text
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else:
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text=translateoutput(text,lan)
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message=text
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th.current_thread().return_value=message
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def transcription(audio_file,input_lang):
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global language_info
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au=open(audio_file, 'rb')
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if input_lang=="Other":
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result = client.audio.transcriptions.create(file=au,model="whisper-1")
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th.current_thread().return_value=result.text
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else:
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result = client.audio.transcriptions.create(file=au,model="whisper-1",language=language_info[input_lang])
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th.current_thread().return_value=result.text
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def func(audio_file,input_lang,lan,state="",state1=""):
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t1 = th.Thread(target=translate, args=(audio_file,lan,))
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t2 = th.Thread(target=transcription, args=(audio_file,input_lang,))
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t1.start()
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t2.start()
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t1.join()
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t2.join()
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translation_text=t1.return_value
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transcribe_text=t2.return_value
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state+=transcribe_text+" "
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state1+=translation_text+" "
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state=state.replace(".","\n")
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state1=state1.replace(".","\n")
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return state,state1
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def gpt_api(text):
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if text=="":
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return ""
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if len(text)>2000:
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text=text[-2000:]
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completion = client.chat.completions.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "your task is to make a concise summery of text in the same language used in given text"},
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{"role": "user", "content":text}
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]
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)
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message=completion.choices[0].message.content
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th.current_thread().return_value=message
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def make_summery(text,text1):
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t1=th.Thread(target=gpt_api, args=(text,))
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t2=th.Thread(target=gpt_api, args=(text,))
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t1.start()
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t2.start()
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t1.join()
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t2.join()
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return t1.return_value,t2.return_value
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def clear_output_data():
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return "","","",""
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css='''#clear {background-color: ##919cbf;border-radius:5%;}
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#clear:hover {background-color: #ff0000;transition: 0.5s;}
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#summery {background-color: ##919cbf;border-radius:5%;}
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#summery:hover {background-color:#2dcc9a ;transition: 0.5s;}
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# div {background-image:url("https://images.unsplash.com/photo-1506259091721-347e791bab0f?auto=format&fit=crop&q=80&w=1470&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D");
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# background-size: cover;
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# background-position: center;
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# background-repeat: no-repeat;
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# background-attachment: fixed;
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# color=white;!imoportant;
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}
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'''
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with gr.Blocks(theme=gr.themes.Soft(),css=css) as app:
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gr.Markdown("## Mufin Real-Time Audio Transcription And Translation",elem_id="heading")
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gr.Markdown("### say any language we are here to translate it for team!!",elem_classes="heading")
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with gr.Row():
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mic = gr.Audio(sources="microphone",streaming=True,type='filepath',label='Speak')
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input_lan=gr.Dropdown(choices=language_info.keys(),label="Choose Input Language please",value="English",interactive=True)
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lan=gr.Dropdown(choices=language_info.keys(),label="Choose a language for translation",value="Korean",interactive=True)
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summery=gr.Button(value="Summery",variant="secondary",size="small",elem_id="summery")
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clear_output = gr.ClearButton(value="Clear Output",variant="stop",size="small",elem_id="clear")
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with gr.Row():
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with gr.Column():
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text=gr.Textbox(interactive=False,label="Transcription",lines=10,max_lines=10)
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with gr.Column():
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text1 = gr.Textbox(interactive=False,label="Translation",lines=10,max_lines=10,)
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st=mic.stream(func, [mic,input_lan,lan,text,text1], [text,text1],show_progress=False)
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with gr.Row():
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sumer_ts=gr.Textbox(label="Summery of Transcription",interactive=False,lines=4,max_lines=4)
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sumer_tr=gr.Textbox(label="Summery of Translation",interactive=False,lines=4,max_lines=4)
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# pass
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summery.click(make_summery,[text,text1],[sumer_ts,sumer_tr],cancels=[st],queue=False)
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clear_output.click(clear_output_data,[],[text,text1,sumer_tr,sumer_ts],cancels=[st],queue=False)
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# gr.update(visible=True)
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app.queue()
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app.launch()
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requirements.txt
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aiofiles==23.2.1
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aiohttp==3.8.6
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aiosignal==1.3.1
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| 4 |
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altair==5.1.2
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| 5 |
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annotated-types==0.6.0
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| 6 |
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anyio==3.7.1
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| 7 |
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async-timeout==4.0.3
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attrs==23.1.0
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certifi==2023.7.22
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charset-normalizer==3.3.2
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| 11 |
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click==8.1.7
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colorama==0.4.6
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contourpy==1.2.0
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cycler==0.12.1
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distro==1.8.0
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fastapi==0.104.1
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ffmpy==0.3.1
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| 18 |
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filelock==3.13.1
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| 19 |
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fonttools==4.44.0
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| 20 |
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frozenlist==1.4.0
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| 21 |
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fsspec==2023.10.0
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| 22 |
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gradio==4.1.2
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| 23 |
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gradio_client==0.7.0
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h11==0.14.0
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httpcore==1.0.1
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httpx==0.25.1
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huggingface-hub==0.18.0
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| 28 |
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idna==3.4
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| 29 |
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importlib-resources==6.1.1
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Jinja2==3.1.2
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jsonschema==4.19.2
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jsonschema-specifications==2023.7.1
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| 33 |
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.3
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matplotlib==3.8.1
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| 37 |
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mdurl==0.1.2
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multidict==6.0.4
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numpy==1.26.1
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openai==1.2.0
|
| 41 |
+
orjson==3.9.10
|
| 42 |
+
packaging==23.2
|
| 43 |
+
pandas==2.1.2
|
| 44 |
+
Pillow==10.1.0
|
| 45 |
+
pydantic==2.4.2
|
| 46 |
+
pydantic_core==2.10.1
|
| 47 |
+
pydub==0.25.1
|
| 48 |
+
Pygments==2.16.1
|
| 49 |
+
pyparsing==3.1.1
|
| 50 |
+
python-dateutil==2.8.2
|
| 51 |
+
python-multipart==0.0.6
|
| 52 |
+
pytz==2023.3.post1
|
| 53 |
+
PyYAML==6.0.1
|
| 54 |
+
referencing==0.30.2
|
| 55 |
+
requests==2.31.0
|
| 56 |
+
rich==13.6.0
|
| 57 |
+
rpds-py==0.12.0
|
| 58 |
+
semantic-version==2.10.0
|
| 59 |
+
shellingham==1.5.4
|
| 60 |
+
six==1.16.0
|
| 61 |
+
sniffio==1.3.0
|
| 62 |
+
starlette==0.27.0
|
| 63 |
+
tomlkit==0.12.0
|
| 64 |
+
toolz==0.12.0
|
| 65 |
+
tqdm==4.66.1
|
| 66 |
+
typer==0.9.0
|
| 67 |
+
typing_extensions==4.8.0
|
| 68 |
+
tzdata==2023.3
|
| 69 |
+
urllib3==2.0.7
|
| 70 |
+
uvicorn==0.24.0.post1
|
| 71 |
+
websockets==11.0.3
|
| 72 |
+
yarl==1.9.2
|