import gradio as gr
#import requests

from PIL import Image
import os
token = os.environ.get('HF_TOKEN')
whisper_to_gpt = gr.Blocks.load(name="spaces/fffiloni/whisper-to-chatGPT")
tts = gr.Interface.load(name="spaces/Flux9665/IMS-Toucan")
talking_face = gr.Blocks.load(name="spaces/fffiloni/one-shot-talking-face", api_key=token)



def infer(audio):
    gpt_response = whisper_to_gpt(audio, "translate", fn_index=0)
    #print(gpt_response)
    audio_response = tts(gpt_response[1], "English Text", "English Accent", "English Speaker's Voice", fn_index=0)
    #image = Image.open(r"wise_woman_portrait.png")
    portrait_link = talking_face("wise_woman_portrait.png", audio_response, fn_index=0)
    
    
    #portrait_response = requests.get(portrait_link, headers={'Authorization': 'Bearer ' + token})
    #print(portrait_response.text)
    return portrait_link

title = """
    <div style="text-align: center; max-width: 500px; margin: 0 auto;">
        <div
        style="
            display: inline-flex;
            align-items: center;
            gap: 0.8rem;
            font-size: 1.75rem;
            margin-bottom: 10px;
        "
        >
        <h1 style="font-weight: 600; margin-bottom: 7px;">
            GPT Talking Portrait
        </h1>
        </div>
        <p style="margin-bottom: 10px;font-size: 94%;font-weight: 100;line-height: 1.5em;">
        Use Whisper to ask, alive portrait responds  !
        </p>
    </div>
"""

css = '''
    #col-container, #col-container-2 {max-width: 510px; margin-left: auto; margin-right: auto;}
    a {text-decoration-line: underline; font-weight: 600;}
    div#record_btn > .mt-6 {
        margin-top: 0!important;
    }
    div#record_btn > .mt-6 button {
        width: 100%;
        height: 40px;
    }
    .footer {
            margin-bottom: 45px;
            margin-top: 10px;
            text-align: center;
            border-bottom: 1px solid #e5e5e5;
        }
        .footer>p {
            font-size: .8rem;
            display: inline-block;
            padding: 0 10px;
            transform: translateY(10px);
            background: white;
        }
        .dark .footer {
            border-color: #303030;
        }
        .dark .footer>p {
            background: #0b0f19;
        }
'''

with gr.Blocks(css=css) as demo:
    
    with gr.Column(elem_id="col-container"):
        
        gr.HTML(title)
        
        with gr.Row():
            record_input = gr.Audio(source="microphone",type="filepath", show_label=True,elem_id="record_btn")
            
        with gr.Row():
            
            send_btn = gr.Button("Send my request !")
         
    
    with gr.Column(elem_id="col-container-2"):
        
        gpt_response = gr.Video()

        
    
    send_btn.click(infer, inputs=[record_input], outputs=[gpt_response])

demo.queue(max_size=32, concurrency_count=20).launch(debug=True)