| from hume import HumeStreamClient
|
| from hume.models.config import FaceConfig
|
| from hume.models.config import ProsodyConfig
|
| import gradio as gr
|
|
|
| import asyncio
|
|
|
| async def HumeStream(client_key, video_file):
|
| newOpenTimeOut = 3000
|
| newCloseTimeOut = 3000
|
|
|
| client = HumeStreamClient(client_key, open_timeout=newOpenTimeOut, close_timeout=newCloseTimeOut)
|
|
|
| file = video_file
|
|
|
| configs = [FaceConfig(identify_faces=True), ProsodyConfig()]
|
| async with client.connect(configs) as socket:
|
| result = await socket.send_file(file)
|
| return result
|
|
|
|
|
|
|
| interface = gr.Interface(
|
| fn = HumeStream,
|
| inputs = ["text", gr.Video(label = "Video to analyze", format="mp4")],
|
| outputs = ["text"],
|
| description = "Enter a video for emotion analysis"
|
| ).launch(share=True, auth=("jet", "pass"), auth_message="check your email for username and password")
|
|
|
|
|
