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| import os | |
| import gradio as gr | |
| import time | |
| import requests | |
| list_stack=[] | |
| api_url="'http://90f6-34-16-143-189.ngrok-free.app/upload'" | |
| def get_transcription_whissper_api(audio,api_url=api_url): | |
| audio_file = open(audio, 'rb') | |
| files = {'audio': ('audio.wav', audio_file)} | |
| response = requests.post(api_url, files=files) | |
| json_response = response.json() | |
| if response.status_code == 200: | |
| print("Audio file uploaded successfully.") | |
| return(json_response['message']) | |
| else: | |
| return("Error uploading the audio file.") | |
| def empty_list(): | |
| list_stack.clear() | |
| def inference_upload(audio,state=""): | |
| state+= get_transcription_whissper_api(audio)+" " | |
| return (state,state) | |
| def inference(audio,state=""): | |
| state += get_transcription_whissper_api(audio) + " " | |
| delimiter=" " | |
| list_stack.append(state) | |
| all_transcriptions=(delimiter.join(list_stack)) | |
| return (state,all_transcriptions) | |
| css = """ | |
| .gradio-container { | |
| font-family: 'IBM Plex Sans', sans-serif; | |
| } | |
| .gr-button { | |
| color: white; | |
| border-color: black; | |
| background: black; | |
| } | |
| input[type='range'] { | |
| accent-color: black; | |
| } | |
| .dark input[type='range'] { | |
| accent-color: #dfdfdf; | |
| } | |
| .container { | |
| max-width: 1030px; | |
| margin: auto; | |
| padding-top: 1.5rem; | |
| } | |
| .details:hover { | |
| text-decoration: underline; | |
| } | |
| .gr-button { | |
| white-space: nowrap; | |
| } | |
| .gr-button:focus { | |
| border-color: rgb(147 197 253 / var(--tw-border-opacity)); | |
| outline: none; | |
| box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); | |
| --tw-border-opacity: 1; | |
| --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); | |
| --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); | |
| --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); | |
| --tw-ring-opacity: .5; | |
| } | |
| .footer { | |
| margin-bottom: 45px; | |
| margin-top: 35px; | |
| 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; | |
| } | |
| .prompt h4{ | |
| margin: 1.25em 0 .25em 0; | |
| font-weight: bold; | |
| font-size: 115%; | |
| } | |
| .animate-spin { | |
| animation: spin 1s linear infinite; | |
| } | |
| @keyframes spin { | |
| from { | |
| transform: rotate(0deg); | |
| } | |
| to { | |
| transform: rotate(360deg); | |
| } | |
| } | |
| #share-btn-container { | |
| display: flex; margin-top: 1.5rem !important; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem; | |
| } | |
| #share-btn { | |
| all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important; | |
| } | |
| #share-btn * { | |
| all: unset; | |
| } | |
| """ | |
| block = gr.Blocks(css=css) | |
| with block: | |
| gr.HTML( | |
| """ | |
| <div style="text-align: center; max-width: 1050px; margin: 0 auto;"> | |
| <div | |
| style=" | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 0.8rem; | |
| font-size: 1.75rem; | |
| " | |
| > | |
| <svg | |
| width="0.65em" | |
| height="0.65em" | |
| viewBox="0 0 115 115" | |
| fill="none" | |
| xmlns="http://www.w3.org/2000/svg" | |
| > | |
| <rect width="23" height="23" fill="white"></rect> | |
| <rect y="69" width="23" height="23" fill="white"></rect> | |
| <rect x="23" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="23" y="69" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="46" width="23" height="23" fill="white"></rect> | |
| <rect x="46" y="69" width="23" height="23" fill="white"></rect> | |
| <rect x="69" width="23" height="23" fill="black"></rect> | |
| <rect x="69" y="69" width="23" height="23" fill="black"></rect> | |
| <rect x="92" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="92" y="69" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="115" y="46" width="23" height="23" fill="white"></rect> | |
| <rect x="115" y="115" width="23" height="23" fill="white"></rect> | |
| <rect x="115" y="69" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="92" y="46" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="92" y="115" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="92" y="69" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="46" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="115" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="69" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="46" y="46" width="23" height="23" fill="black"></rect> | |
| <rect x="46" y="115" width="23" height="23" fill="black"></rect> | |
| <rect x="46" y="69" width="23" height="23" fill="black"></rect> | |
| <rect x="23" y="46" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="23" y="115" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="23" y="69" width="23" height="23" fill="black"></rect> | |
| </svg> | |
| <h1 style="font-weight: 900; margin-bottom: 7px;"> | |
| Experiment Whisper via API | |
| </h1> | |
| </div> | |
| <p style="margin-bottom: 10px; font-size: 94%"> | |
| This page can be used to simply try out the capabilities of tagaloc + english transcription. The model used is the smallest because this process only runs with small computations. Speed and accuracy can be improved with more powerful computing.</p> | |
| </div> | |
| """ | |
| ) | |
| with gr.Group(): | |
| with gr.Box(): | |
| with gr.Row().style(mobile_collapse=False, equal_height=True): | |
| audio = gr.Audio( | |
| label="Input voice", | |
| source="microphone", | |
| type="filepath", | |
| # streaming=True | |
| every=4 | |
| ) | |
| audio_file_upload = gr.Audio( | |
| label="Input From Example", | |
| source="upload", | |
| type="filepath", | |
| ) | |
| btn_clear = gr.Button("Clear") | |
| btn_trnscribe = gr.Button("Transcribe") | |
| text = gr.Textbox(label="Transcriptions Now", elem_id="result-textarea") | |
| text_all = gr.Textbox(label="All Transcriptions", elem_id="result-textarea") | |
| btn_clear.click(empty_list) | |
| btn_trnscribe.click(inference_upload,inputs=audio_file_upload,outputs=[text,text_all],show_progress="minimal") | |
| audio.stream(inference,inputs=audio,outputs=[text,text_all],show_progress="minimal") | |
| gr.HTML(""" | |
| <h2 style="font-weight: 900; margin: 7px;"> | |
| Tagaloc audio | |
| </h2> | |
| """) | |
| example_gr_bark = gr.Examples( | |
| examples=[ | |
| ["#1 How mature are you as a Christian Ptr Joey.mp3"], | |
| ["#2 Masakit Pero May Dahilan.mp3"] | |
| ], | |
| inputs = audio_file_upload | |
| ) | |
| gr.HTML(''' | |
| <div class="footer"> | |
| <p>Model by openAI</a> - Gradio Demo by 🤗 Hugging Face | |
| </p> | |
| </div> | |
| ''') | |
| if __name__ == "__main__": | |
| block.launch(debug=True) | |