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Duplicate from asiffarhankhan/custom-gpt-voice-assistant
Browse filesCo-authored-by: Asif Farhan Khan <[email protected]>
- .gitattributes +34 -0
- .gitignore +6 -0
- README.md +14 -0
- app.py +132 -0
- app_utils.py +90 -0
- assets/char_idle.gif +0 -0
- assets/char_poses_base64.py +0 -0
- assets/char_speaking.gif +0 -0
- assets/char_thinking.gif +0 -0
- assets/favicon.png +0 -0
- assets/timeout_audio.mp3 +0 -0
- profiles/john.txt +11 -0
- requirements.txt +147 -0
.gitattributes
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.gitignore
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.venv
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__pycache__
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.chroma
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initialize.sh
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conversations.log
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custom_gpt_voice assistant_demo.mp4
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README.md
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---
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title: Custom Gpt Voice Assistant
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emoji: 🌖
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colorFrom: indigo
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colorTo: gray
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sdk: gradio
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sdk_version: 3.27.0
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app_file: app.py
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pinned: false
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license: other
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duplicated_from: asiffarhankhan/custom-gpt-voice-assistant
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import os
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import nltk
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import openai
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import time
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import gradio as gr
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from threading import Thread
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from assets.char_poses_base64 import (
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CHAR_IDLE_HTML, CHAR_THINKING_HTML, CHAR_TALKING_HTML)
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from app_utils import (
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get_chat_history, initialize_knowledge_base,
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text_to_speech_gen, logging, buzz_user)
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global FUNC_CALL
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FUNC_CALL = 0
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global BUZZ_TIMEOUT
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BUZZ_TIMEOUT = 60
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GENERAL_RSPONSE_TRIGGERS = ["I don't understand the question.", "I don't know", "Hello, my name is", "mentioned in the context provided"]
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MESSAGES = [{"role": "system", "content": "You are a helpful assistant.."}]
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LOGGER = logging.getLogger('voice_agent')
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AUDIO_HTML = ''
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# Uncomment If this is your first Run:
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nltk.download('averaged_perceptron_tagger')
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conv_model, voice_model = initialize_knowledge_base()
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def idle_timer():
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global BUZZ_TIMEOUT
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while True:
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time.sleep(BUZZ_TIMEOUT)
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buzz_user()
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if BUZZ_TIMEOUT == 80:
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time.sleep(BUZZ_TIMEOUT)
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BUZZ_TIMEOUT = 60
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def update_img():
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global FUNC_CALL
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FUNC_CALL += 1
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if FUNC_CALL % 2== 0:
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return CHAR_TALKING_HTML
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else:
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return CHAR_THINKING_HTML
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def get_response(history, audio_input):
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query_type = 'text'
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question =history[-1][0]
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global BUZZ_TIMEOUT
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BUZZ_TIMEOUT = 80
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if not question:
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if audio_input:
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query_type = 'audio'
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os.rename(audio_input, audio_input + '.wav')
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audio_file = open(audio_input + '.wav', "rb")
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transcript = openai.Audio.transcribe("whisper-1", audio_file)
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question = transcript['text']
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else:
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return None, None
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LOGGER.info("\nquery_type: %s", query_type)
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LOGGER.info("query_text: %s", question)
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print('\nquery_type:', query_type)
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print('\nquery_text:', question)
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if question.lower().strip() == 'hi':
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question = 'hello'
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answer = conv_model.run(question)
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LOGGER.info("\ndocument_response: %s", answer)
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print('\ndocument_response:', answer)
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for trigger in GENERAL_RSPONSE_TRIGGERS:
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if trigger in answer:
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MESSAGES.append({"role": "user", "content": question})
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chat = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=MESSAGES,
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temperature=0.7,
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n=128,
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stop="\n"
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)
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answer = chat.choices[0].message.content
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MESSAGES.append({"role": "assistant", "content": answer})
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LOGGER.info("general_response: %s", answer)
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print('\ngeneral_response:', answer)
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AUDIO_HTML = text_to_speech_gen(answer)
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history[-1][1] = answer
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return history, AUDIO_HTML
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# buzz_usr_proc = Thread(target=idle_timer)
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with gr.Blocks(title="Your Assistance Pal!") as demo:
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with gr.Row():
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output_html = gr.HTML(label="Felix's Voice", value=AUDIO_HTML)
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output_html.visible = False
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assistant_character = gr.HTML(label=None, value=CHAR_IDLE_HTML, show_label=False)
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with gr.Column(scale=0.1):
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chatbot = gr.Chatbot(label='Send a text or a voice input').style(height=285)
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with gr.Row():
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msg = gr.Textbox(placeholder='Write a chat & press Enter.', show_label=False).style(container=False)
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with gr.Column(scale=0.5):
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audio_input = gr.Audio(source="microphone", type='filepath', show_label=False).style(container=False)
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button = gr.Button(value="Send")
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msg.submit(get_chat_history, [msg, chatbot], [msg, chatbot]
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).then(update_img, outputs=[assistant_character]
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).then(get_response, [chatbot, audio_input], [chatbot, output_html]
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).then(update_img, outputs=[assistant_character])
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button.click(get_chat_history, [msg, chatbot], [msg, chatbot]
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).then(update_img, outputs=[assistant_character]
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).then(get_response, [chatbot, audio_input], [chatbot, output_html]
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).then(update_img, outputs=[assistant_character])
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# buzz_usr_proc.start()
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demo.launch(debug=False, favicon_path='assets/favicon.png', show_api=False, share=False)
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app_utils.py
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import os
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import whisper
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from io import BytesIO
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import base64
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import boto3
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from pydub import AudioSegment
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from pydub.playback import play
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import logging
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from langchain import OpenAI
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from langchain.chains import RetrievalQA
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from langchain.vectorstores import Chroma
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from langchain.document_loaders import DirectoryLoader
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from langchain.embeddings.openai import OpenAIEmbeddings
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from langchain.text_splitter import CharacterTextSplitter
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OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
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AWS_ACCESS_KEY_ID = os.getenv('AWS_ACCESS_KEY_ID')
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AWS_SECRET_ACCESS_KEY = os.getenv('AWS_SECRET_ACCESS_KEY')
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AWS_REGION_NAME = 'ap-south-1'
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logging.basicConfig(level="INFO",
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filename='conversations.log',
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filemode='a',
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format='%(asctime)s %(message)s',
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datefmt='%H:%M:%S')
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def buzz_user():
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input_prompt = AudioSegment.from_mp3('assets/timeout_audio.mp3')
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play(input_prompt)
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def initialize_knowledge_base():
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loader = DirectoryLoader('profiles', glob='**/*.txt')
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docs = loader.load()
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char_text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
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doc_texts = char_text_splitter.split_documents(docs)
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openAI_embeddings = OpenAIEmbeddings()
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vStore = Chroma.from_documents(doc_texts, openAI_embeddings)
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conv_model = RetrievalQA.from_chain_type(
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llm=OpenAI(),
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chain_type="stuff",
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retriever=vStore.as_retriever(
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search_kwargs={"k": 1}
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)
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)
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voice_model = whisper.load_model("tiny")
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return conv_model, voice_model
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def text_to_speech_gen(answer):
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polly = boto3.client('polly',
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aws_access_key_id=AWS_ACCESS_KEY_ID,
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aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
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region_name=AWS_REGION_NAME)
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response = polly.synthesize_speech(
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Text=answer,
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VoiceId='Matthew',
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OutputFormat='mp3',
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Engine = "neural")
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audio_stream = response['AudioStream'].read()
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audio_html = audio_to_html(audio_stream)
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return audio_html
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def audio_to_html(audio_bytes):
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audio_io = BytesIO(audio_bytes)
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audio_io.seek(0)
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audio_base64 = base64.b64encode(audio_io.read()).decode("utf-8")
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audio_html = f'<audio src="data:audio/mpeg;base64,{audio_base64}" controls autoplay></audio>'
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return audio_html
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def get_chat_history(user_message, history):
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return "", history + [[user_message, None]]
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assets/char_idle.gif
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assets/char_poses_base64.py
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The diff for this file is too large to render.
See raw diff
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assets/char_speaking.gif
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![]() |
assets/char_thinking.gif
ADDED
![]() |
assets/favicon.png
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![]() |
assets/timeout_audio.mp3
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Binary file (21.9 kB). View file
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profiles/john.txt
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Full name is Alfred Brandon
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you were born in 12th March 1958
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John is at the shop
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Brian is on holiday
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Sarah is coming home soon
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Sarah is net door and has left
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You have granddaughters, jennny and michelle, they are 7 and 10
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Your cousin Arthur is in Australia, he’s back next July
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Your neighbuor Steven passed away a few days ago
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10 |
+
Your wife hospital, broke arm
|
11 |
+
John will be back by 8
|
requirements.txt
ADDED
@@ -0,0 +1,147 @@
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1 |
+
aiofiles==23.1.0
|
2 |
+
aiohttp==3.8.4
|
3 |
+
aiosignal==1.3.1
|
4 |
+
altair==4.2.2
|
5 |
+
anyio==3.6.2
|
6 |
+
argilla==1.6.0
|
7 |
+
async-timeout==4.0.2
|
8 |
+
attrs==23.1.0
|
9 |
+
backoff==2.2.1
|
10 |
+
boto3==1.26.115
|
11 |
+
botocore==1.29.115
|
12 |
+
certifi==2022.12.7
|
13 |
+
charset-normalizer==3.1.0
|
14 |
+
chromadb==0.3.21
|
15 |
+
click==8.1.3
|
16 |
+
clickhouse-connect==0.5.20
|
17 |
+
cmake==3.26.3
|
18 |
+
commonmark==0.9.1
|
19 |
+
contourpy==1.0.7
|
20 |
+
cycler==0.11.0
|
21 |
+
dataclasses-json==0.5.7
|
22 |
+
Deprecated==1.2.13
|
23 |
+
duckdb==0.7.1
|
24 |
+
entrypoints==0.4
|
25 |
+
et-xmlfile==1.1.0
|
26 |
+
fastapi==0.95.1
|
27 |
+
ffmpeg-python==0.2.0
|
28 |
+
ffmpy==0.3.0
|
29 |
+
filelock==3.12.0
|
30 |
+
fonttools==4.39.3
|
31 |
+
frozenlist==1.3.3
|
32 |
+
fsspec==2023.4.0
|
33 |
+
future==0.18.3
|
34 |
+
gradio==3.27.0
|
35 |
+
gradio_client==0.1.3
|
36 |
+
greenlet==2.0.2
|
37 |
+
h11==0.14.0
|
38 |
+
hnswlib==0.7.0
|
39 |
+
httpcore==0.16.3
|
40 |
+
httptools==0.5.0
|
41 |
+
httpx==0.23.3
|
42 |
+
huggingface-hub==0.13.4
|
43 |
+
idna==3.4
|
44 |
+
Jinja2==3.1.2
|
45 |
+
jmespath==1.0.1
|
46 |
+
joblib==1.2.0
|
47 |
+
jsonschema==4.17.3
|
48 |
+
kiwisolver==1.4.4
|
49 |
+
langchain==0.0.144
|
50 |
+
linkify-it-py==2.0.0
|
51 |
+
lit==16.0.1
|
52 |
+
llvmlite==0.39.1
|
53 |
+
lxml==4.9.2
|
54 |
+
lz4==4.3.2
|
55 |
+
Markdown==3.4.3
|
56 |
+
markdown-it-py==2.2.0
|
57 |
+
MarkupSafe==2.1.2
|
58 |
+
marshmallow==3.19.0
|
59 |
+
marshmallow-enum==1.5.1
|
60 |
+
matplotlib==3.7.1
|
61 |
+
mdit-py-plugins==0.3.3
|
62 |
+
mdurl==0.1.2
|
63 |
+
monotonic==1.6
|
64 |
+
more-itertools==9.1.0
|
65 |
+
mpmath==1.3.0
|
66 |
+
msg-parser==1.2.0
|
67 |
+
multidict==6.0.4
|
68 |
+
mypy-extensions==1.0.0
|
69 |
+
networkx==3.1
|
70 |
+
nltk==3.8.1
|
71 |
+
numba==0.56.4
|
72 |
+
numexpr==2.8.4
|
73 |
+
numpy==1.23.5
|
74 |
+
nvidia-cublas-cu11==11.10.3.66
|
75 |
+
nvidia-cuda-cupti-cu11==11.7.101
|
76 |
+
nvidia-cuda-nvrtc-cu11==11.7.99
|
77 |
+
nvidia-cuda-runtime-cu11==11.7.99
|
78 |
+
nvidia-cudnn-cu11==8.5.0.96
|
79 |
+
nvidia-cufft-cu11==10.9.0.58
|
80 |
+
nvidia-curand-cu11==10.2.10.91
|
81 |
+
nvidia-cusolver-cu11==11.4.0.1
|
82 |
+
nvidia-cusparse-cu11==11.7.4.91
|
83 |
+
nvidia-nccl-cu11==2.14.3
|
84 |
+
nvidia-nvtx-cu11==11.7.91
|
85 |
+
olefile==0.46
|
86 |
+
openai==0.27.4
|
87 |
+
openai-whisper @ git+https://github.com/openai/whisper.git@c09a7ae299c4c34c5839a76380ae407e7d785914
|
88 |
+
openapi-schema-pydantic==1.2.4
|
89 |
+
openpyxl==3.1.2
|
90 |
+
orjson==3.8.10
|
91 |
+
packaging==23.1
|
92 |
+
pandas==1.5.3
|
93 |
+
Pillow==9.5.0
|
94 |
+
posthog==3.0.0
|
95 |
+
pydantic==1.10.7
|
96 |
+
pydub==0.25.1
|
97 |
+
Pygments==2.15.1
|
98 |
+
pypandoc==1.11
|
99 |
+
pyparsing==3.0.9
|
100 |
+
pyrsistent==0.19.3
|
101 |
+
python-dateutil==2.8.2
|
102 |
+
python-docx==0.8.11
|
103 |
+
python-dotenv==1.0.0
|
104 |
+
python-magic==0.4.27
|
105 |
+
python-multipart==0.0.6
|
106 |
+
python-pptx==0.6.21
|
107 |
+
pytz==2023.3
|
108 |
+
PyYAML==6.0
|
109 |
+
regex==2023.3.23
|
110 |
+
requests==2.28.2
|
111 |
+
rfc3986==1.5.0
|
112 |
+
rich==13.0.1
|
113 |
+
s3transfer==0.6.0
|
114 |
+
scikit-learn==1.2.2
|
115 |
+
scipy==1.10.1
|
116 |
+
semantic-version==2.10.0
|
117 |
+
sentence-transformers==2.2.2
|
118 |
+
sentencepiece==0.1.98
|
119 |
+
six==1.16.0
|
120 |
+
sniffio==1.3.0
|
121 |
+
SQLAlchemy==1.4.47
|
122 |
+
starlette==0.26.1
|
123 |
+
sympy==1.11.1
|
124 |
+
tenacity==8.2.2
|
125 |
+
threadpoolctl==3.1.0
|
126 |
+
tiktoken==0.3.1
|
127 |
+
tokenizers==0.13.3
|
128 |
+
toolz==0.12.0
|
129 |
+
torch==2.0.0
|
130 |
+
torchvision==0.15.1
|
131 |
+
tqdm==4.65.0
|
132 |
+
transformers==4.28.1
|
133 |
+
triton==2.0.0
|
134 |
+
typing-inspect==0.8.0
|
135 |
+
typing_extensions==4.5.0
|
136 |
+
tzdata==2023.3
|
137 |
+
uc-micro-py==1.0.1
|
138 |
+
unstructured==0.5.13
|
139 |
+
urllib3==1.26.15
|
140 |
+
uvicorn==0.21.1
|
141 |
+
uvloop==0.17.0
|
142 |
+
watchfiles==0.19.0
|
143 |
+
websockets==11.0.2
|
144 |
+
wrapt==1.14.1
|
145 |
+
XlsxWriter==3.1.0
|
146 |
+
yarl==1.8.2
|
147 |
+
zstandard==0.21.0
|