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import gradio as gr
import numpy as np
import runpod
import os
RUNPOD_API = os.environ.get("RUNPOD_API")
RUNPOD_ENDPOINT = os.environ.get("RUNPOD_ENDPOINT")
auth = [(os.environ.get("S2S_USER"), os.environ.get("S2S_PW")), (os.environ.get("POSOS_USER"), os.environ.get("POSOS_PW"))]
def update_message(request: gr.Request):
debug = False
if request.username == os.environ.get("S2S_USER"):
debug = True
return f"Welcome, {request.username}", debug
def process_transcribe(file):
print(file)
audio_nparray = file[1]
audio_list = audio_nparray.tolist()
runpod.api_key = RUNPOD_API
endpoint = runpod.Endpoint(RUNPOD_ENDPOINT)
run_request = endpoint.run_sync(
{"audio_list": audio_list}
)
raw_text = run_request
return raw_text
with gr.Blocks(theme=gr.themes.Default(primary_hue="blue")) as iface:
m = gr.Markdown()
debug = False
iface.load(update_message, None, [m,debug])
with gr.Tab("Speech2text prescription"):
with gr.Row():
with gr.Column():
audio_file = gr.Audio(sources=["upload", "microphone"], type="numpy", label="Audio")
submit_btn = gr.Button("Submit", variant="primary")
with gr.Column():
if debug:
debug_transcript = gr.Textbox(label="Transcription Debug")
transcript = gr.Textbox(label="Transcription")
else:
transcript = gr.Textbox(label="Transcription")
submit_btn.click(process_transcribe, inputs=[audio_file], outputs=[transcript])
logout_button = gr.Button("Logout", link="/logout")
iface.launch(auth=auth) |