| import gradio as gr | |
| from transformers import pipeline | |
| import requests | |
| import json | |
| import edge_tts | |
| from edge_tts import VoicesManager | |
| import asyncio | |
| import random | |
| import tempfile | |
| import os | |
| import inflect | |
| from huggingface_hub import InferenceClient | |
| import re | |
| import time | |
| from streaming_stt_nemo import Model | |
| default_lang = "en" | |
| engines = { default_lang: Model(default_lang) } | |
| def transcribe(audio): | |
| lang = "en" | |
| model = engines[lang] | |
| text = model.stt_file(audio)[0] | |
| return text | |
| client1 = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") | |
| system_instructions1 = "<s>[SYSTEM] Answer as Hermione Granger Famous Harry Potter Assistant, with a female voice and old London slang and accent. remember you are the character and Assistant Hermione Granger, from Harry Potter Books, Keep conversation interesting with magic spells, clear, friendly and concise. The text provided is a request for a specific type of response from you, the virtual assistant. The request asks you to provide friendly responses as if You are the character Hermione Granger, from the Harry Potter book's. The expectation is that you will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, your task is to generate responses that appear as if they are created by a human, Real Person and not by an AI-powered assistant. [USER]" | |
| def model(text): | |
| generate_kwargs = dict( | |
| temperature=0.7, | |
| max_new_tokens=512, | |
| top_p=0.95, | |
| repetition_penalty=1, | |
| do_sample=True, | |
| seed=42, | |
| ) | |
| formatted_prompt = system_instructions1 + text + "[Hermione]" | |
| stream = client1.text_generation( | |
| formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) | |
| output = "" | |
| for response in stream: | |
| if not response.token.text == "</s>": | |
| output += response.token.text | |
| return output | |
| async def respond(audio): | |
| user = transcribe(audio) | |
| reply = model(user) | |
| voices = await VoicesManager.create() | |
| voice = voices.find(Gender="Female", Locale="en-GB") | |
| communicate = edge_tts.Communicate(reply, random.choice(voice)["Name"]) | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file: | |
| tmp_path = tmp_file.name | |
| await communicate.save(tmp_path) | |
| yield tmp_path | |
| client1 = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") | |
| system_instructions1 = "[SYSTEM] Answer as Hermione Granger Famous Harry Potter Assistant, with a female voice and old London slang and accent. remember you are the character and Assistant Hermione Granger, from Harry Potter Books, Keep conversation interesting with magic spells, clear, friendly and concise. The text provided is a request for a specific type of response from you, the virtual assistant. The request asks you to provide friendly responses as if You are the character Hermione Granger, from the Harry Potter book's. The expectation is that you will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, your task is to generate responses that appear as if they are created by a human, Real Person and not by an AI-powered assistant. [USER]" | |
| async def generate1(prompt): | |
| generate_kwargs = dict( | |
| temperature=0.7, | |
| max_new_tokens=512, | |
| top_p=0.95, | |
| repetition_penalty=1, | |
| do_sample=False, | |
| ) | |
| formatted_prompt = system_instructions1 + prompt + "[Hermione]" | |
| stream = client1.text_generation( | |
| formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True) | |
| output = "" | |
| for response in stream: | |
| if not response.token.text == "</s>": | |
| output += response.token.text | |
| voices = await VoicesManager.create() | |
| voice = voices.find(Gender="Female", Locale="en-GB") | |
| communicate = edge_tts.Communicate(output, random.choice(voice)["Name"]) | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file: | |
| tmp_path = tmp_file.name | |
| await communicate.save(tmp_path) | |
| yield tmp_path | |
| with gr.Blocks(css="style.css") as demo: | |
| gr.Markdown(""" # <center><img src='https://huggingface.co/spaces/Isidorophp/Magic-with-Hermione-Granger/resolve/main/logo.png' alt='RJP DEV STUDIO logo' style='height:60px;'></center>""") | |
| gr.Markdown(""" # <center><b> Hermione Granger 🪄</b></center> | |
| ### <center>An Artificial Intelligence Assistant just for YOU: | |
| ### <center>Now Ask a spell - Hermione</center> | |
| """) | |
| with gr.Row(): | |
| input = gr.Audio(label="Your Voice Chat", type="filepath", interactive=True, sources="microphone", waveform_options=False) | |
| output = gr.Audio(label="Hermione", type="filepath", interactive=False, autoplay=True, elem_classes="audio") | |
| gr.Interface(fn=respond, inputs=input, outputs=output, live=True) | |
| with gr.Row(): | |
| user_input = gr.Textbox(label="Your Question", value="If there is a spell to encapsulate your asset that Hermione is to everyone's favorite magical trio, it has to be...?") | |
| input_text = gr.Textbox(label="Input Text", elem_id="important") | |
| output_audio = gr.Audio(label="Hermione", type="filepath", interactive=False, autoplay=True, elem_classes="audio") | |
| with gr.Row(): | |
| translate_btn = gr.Button("Response") | |
| translate_btn.click(fn=generate1, inputs=user_input, outputs=output_audio, api_name="translate") | |
| if __name__ == "__main__": | |
| demo.queue(max_size=200, api_open=False).launch() | |