Spaces:
Running
Running
File size: 5,280 Bytes
2f3b32c ab0e126 2f3b32c ab0e126 2f3b32c 73c13c3 ab0e126 2f3b32c ace0051 2f3b32c 97e7837 ab0e126 97e7837 ab0e126 97e7837 ab0e126 97e7837 ab0e126 2f3b32c ab0e126 288afe4 ab0e126 97e7837 ab0e126 288afe4 ab0e126 288afe4 2f3b32c 97e7837 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 |
import os
import re
import gradio as gr
import edge_tts
import asyncio
import time
import tempfile
from huggingface_hub import InferenceClient
DESCRIPTION = """ # <center><b>JARVIS⚡</b></center>
### <center>A personal Assistant of Tony Stark for YOU
### <center>Currently It supports text input, But If this space completes 1k hearts than I starts working on Audio Input.</center>
"""
MORE = """ ## TRY Other Models
### Instant Video: Create Amazing Videos in 5 Second -> https://huggingface.co/spaces/KingNish/Instant-Video
### Instant Image: 4k images in 5 Second -> https://huggingface.co/spaces/KingNish/Instant-Image
"""
Fast = """## Fastest Model"""
Complex = """## Best in Complex Question"""
Detail = """## Best for Detailed Generation or Long Answers"""
client1 = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
system_instructions1 = "<s>[SYSTEM] Answer as Real Jarvis JARVIS, Made by 'Tony Stark', Keep conversation very short, 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 Jarvis, made by 'Tony Stark.' The expectation is that I 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 the user and not an AI-powered assistant. [USER]"
async def generate1(prompt):
generate_kwargs = dict(
temperature=0.6,
max_new_tokens=256,
top_p=0.95,
repetition_penalty=1,
do_sample=True,
seed=42,
)
formatted_prompt = system_instructions1 + prompt + "[JARVIS]"
stream = client1.text_generation(
formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
output = ""
for response in stream:
output += response.token.text
communicate = edge_tts.Communicate(output)
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
tmp_path = tmp_file.name
await communicate.save(tmp_path)
yield tmp_path
client2 = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct")
system_instructions2 = "[SYSTEM] Answer as Real Jarvis JARVIS, Made by 'Tony Stark', Must answer in friendly style and Easy Manner. You can answer Complex Questions. Do not say who are you or Hi, Hello, Just Start answering. Stop, as answer ends. [USER]"
async def generate2(prompt):
generate_kwargs = dict(
temperature=0.6,
max_new_tokens=512,
top_p=0.95,
repetition_penalty=1,
do_sample=True,
)
formatted_prompt = system_instructions2 + prompt + "[ASSISTANT]"
stream = client2.text_generation(
formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
output = ""
for response in stream:
output += response.token.text
communicate = edge_tts.Communicate(output)
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
tmp_path = tmp_file.name
await communicate.save(tmp_path)
yield tmp_path
client3 = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct")
system_instructions3 = "[SYSTEM]The text provided is a request for a specific type of response from me, the virtual assistant. The request asks me to provide detailed and friendly responses as if I am the character Jarvis, inspired by 'Tony Stark.' The expectation is that I will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, my task is to generate responses that appear as if they are created by the user and not an AI-powered assistant.[USER]"
async def generate3(prompt):
generate_kwargs = dict(
temperature=0.6,
max_new_tokens=2048,
top_p=0.95,
repetition_penalty=1,
do_sample=True,
)
formatted_prompt = system_instructions3 + prompt + "[ASSISTANT]"
stream = client3.text_generation(
formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
output = ""
for response in stream:
output += response.token.text
communicate = edge_tts.Communicate(output)
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(DESCRIPTION)
with gr.Row():
user_input = gr.Textbox(label="Prompt", value="What is Wikipedia")
input_text = gr.Textbox(label="Input Text", elem_id="important")
output_audio = gr.Audio(label="JARVIS", 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")
gr.Markdown(MORE)
if __name__ == "__main__":
demo.queue(max_size=200).launch() |