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93aed6f | 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 | 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( # inputs key, and video file #outputs: prediction json
fn = HumeStream,
inputs = ["text", gr.Video(label = "Video to analyze", format="mp4")], #client key, video file
outputs = ["text"],# for predictions in JSON
description = "Enter a video for emotion analysis"
).launch(share=True, auth=("jet", "pass"), auth_message="check your email for username and password")
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