Spaces:
Runtime error
Runtime error
import cohere | |
import gradio as gr | |
import os, json | |
import random | |
co = cohere.Client(os.environ['CO_API_KEY']) | |
# initialize a conversation session id | |
cohere_chat_res_start = co.chat("Hi", persona = "catgpt") | |
conv_session_id = cohere_chat_res_start.session_id | |
whisper = gr.Interface.load(name="spaces/sanchit-gandhi/whisper-large-v2") | |
def translate_or_transcribe(audio): | |
return whisper(audio, None, "translate", fn_index=0) | |
def get_response_from_chatbot(text): | |
cohere_chat_res = co.chat(text, session_id=conv_session_id, persona = "catgpt") | |
return cohere_chat_res.reply | |
def chat(message, chat_history): | |
out_chat = [] | |
if chat_history != '': | |
out_chat = json.loads(chat_history) | |
response = get_response_from_chatbot(message) | |
out_chat.append((message, response)) | |
chat_history = json.dumps(out_chat) | |
return out_chat, chat_history | |
start_work = """async() => { | |
function isMobile() { | |
try { | |
document.createEvent("TouchEvent"); return true; | |
} catch(e) { | |
return false; | |
} | |
} | |
function getClientHeight() | |
{ | |
var clientHeight=0; | |
if(document.body.clientHeight&&document.documentElement.clientHeight) { | |
var clientHeight = (document.body.clientHeight<document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight; | |
} else { | |
var clientHeight = (document.body.clientHeight>document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight; | |
} | |
return clientHeight; | |
} | |
function setNativeValue(element, value) { | |
const valueSetter = Object.getOwnPropertyDescriptor(element.__proto__, 'value').set; | |
const prototype = Object.getPrototypeOf(element); | |
const prototypeValueSetter = Object.getOwnPropertyDescriptor(prototype, 'value').set; | |
if (valueSetter && valueSetter !== prototypeValueSetter) { | |
prototypeValueSetter.call(element, value); | |
} else { | |
valueSetter.call(element, value); | |
} | |
} | |
var gradioEl = document.querySelector('body > gradio-app').shadowRoot; | |
if (!gradioEl) { | |
gradioEl = document.querySelector('body > gradio-app'); | |
} | |
if (typeof window['gradioEl'] === 'undefined') { | |
window['gradioEl'] = gradioEl; | |
const page1 = window['gradioEl'].querySelectorAll('#page_1')[0]; | |
const page2 = window['gradioEl'].querySelectorAll('#page_2')[0]; | |
page1.style.display = "none"; | |
page2.style.display = "block"; | |
window['div_count'] = 0; | |
window['chat_bot'] = window['gradioEl'].querySelectorAll('#chat_bot')[0]; | |
window['chat_bot1'] = window['gradioEl'].querySelectorAll('#chat_bot1')[0]; | |
chat_row = window['gradioEl'].querySelectorAll('#chat_row')[0]; | |
prompt_row = window['gradioEl'].querySelectorAll('#prompt_row')[0]; | |
window['chat_bot1'].children[1].textContent = ''; | |
clientHeight = getClientHeight(); | |
new_height = (clientHeight-300) + 'px'; | |
chat_row.style.height = new_height; | |
window['chat_bot'].style.height = new_height; | |
window['chat_bot'].children[2].style.height = new_height; | |
window['chat_bot1'].style.height = new_height; | |
window['chat_bot1'].children[2].style.height = new_height; | |
prompt_row.children[0].style.flex = 'auto'; | |
prompt_row.children[0].style.width = '100%'; | |
window['checkChange'] = function checkChange() { | |
try { | |
if (window['chat_bot'].children[2].children[0].children.length > window['div_count']) { | |
new_len = window['chat_bot'].children[2].children[0].children.length - window['div_count']; | |
for (var i = 0; i < new_len; i++) { | |
new_div = window['chat_bot'].children[2].children[0].children[window['div_count'] + i].cloneNode(true); | |
window['chat_bot1'].children[2].children[0].appendChild(new_div); | |
} | |
window['div_count'] = chat_bot.children[2].children[0].children.length; | |
} | |
if (window['chat_bot'].children[0].children.length > 1) { | |
window['chat_bot1'].children[1].textContent = window['chat_bot'].children[0].children[1].textContent; | |
} else { | |
window['chat_bot1'].children[1].textContent = ''; | |
} | |
} catch(e) { | |
} | |
} | |
window['checkChange_interval'] = window.setInterval("window.checkChange()", 500); | |
} | |
return false; | |
}""" | |
with gr.Blocks(title='Talk to CatGPT') as demo: | |
gr.Markdown("## Talk to CatGPT with your voice ! ##") | |
gr.Markdown("### Interact with CatGPT, a cat-based persona created by Cohere AI ! ###") | |
with gr.Group(elem_id="page_1", visible=True) as page_1: | |
with gr.Box(): | |
with gr.Row(): | |
start_button = gr.Button("Let's talk to CatGPT!", elem_id="start-btn", visible=True) | |
start_button.click(fn=None, inputs=[], outputs=[], _js=start_work) | |
with gr.Group(elem_id="page_2", visible=False) as page_2: | |
with gr.Row(elem_id="chat_row"): | |
chatbot = gr.Chatbot(elem_id="chat_bot", visible=False).style(color_map=("green", "blue")) | |
chatbot1 = gr.Chatbot(elem_id="chat_bot1").style(color_map=("green", "blue")) | |
with gr.Row(): | |
prompt_input_audio = gr.Audio( | |
source="microphone", | |
type="filepath", | |
label="Record Audio Input", | |
) | |
translate_btn = gr.Button("Check text first ?👍") | |
#whisper_task = gr.Radio(["translate", "transcribe"], value="translate", show_label=False) | |
with gr.Row(elem_id="prompt_row"): | |
prompt_input = gr.Textbox(lines=2, label="Input text",show_label=True) | |
chat_history = gr.Textbox(lines=4, label="prompt", visible=False) | |
submit_btn = gr.Button(value = "Send to CatGPT",elem_id="submit-btn").style( | |
margin=True, | |
rounded=(True, True, True, True), | |
width=100 | |
) | |
translate_btn.click(fn=translate_or_transcribe, | |
inputs=[prompt_input_audio], | |
outputs=prompt_input | |
) | |
submit_btn.click(fn=chat, | |
inputs=[prompt_input, chat_history], | |
outputs=[chatbot, chat_history], | |
) | |
gr.HTML(''' | |
<p>Note: Please be aware that audio records from iOS devices will not be decoded as expected by Gradio. For the best experience, record your voice from a computer instead of your smartphone ;)</p> | |
<div class="footer"> | |
<p>Whisper Model by <a href="https://github.com/openai/whisper" style="text-decoration: underline;" target="_blank">OpenAI</a> | |
</p> | |
<p>This demo uses the Cohere API. Cohere provides access to advanced Large Language Models and NLP tools through one easy-to-use API. <a href="https://cohere.ai/" style="text-decoration: underline;" target="_blank">Get started for free!</a> | |
</p> | |
</div> | |
''') | |
gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=RamAnanth1.co_chat_voice)") | |
demo.launch(debug = True) |