Spaces:
Sleeping
Sleeping
Add option to select GPU
Browse files- app.py +8 -3
- functions.py +18 -14
app.py
CHANGED
@@ -21,7 +21,12 @@ with (gr.Blocks() as app):
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with gr.Row():
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output_audio = gr.Audio(interactive=False, label='Audio', autoplay=True)
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with gr.Row():
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checkbox = gr.Checkbox(
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with gr.Column():
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with gr.Row():
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@@ -59,13 +64,13 @@ with (gr.Blocks() as app):
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button_text.click(
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get_answer_text,
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[text, chat, user_id, checkbox],
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[video, output_audio, chat, text]
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)
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button_audio.click(
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get_answer_audio,
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[audio, chat, user_id, checkbox],
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[video, output_audio, chat, audio]
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)
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with gr.Row():
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output_audio = gr.Audio(interactive=False, label='Audio', autoplay=True)
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with gr.Row():
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checkbox = gr.Checkbox(
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label='Get video', info='Remember that this has a cost'
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)
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radio = gr.Radio(
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choices=['small', 'big'], value='small', label='GPU', info='Select the size of GPU'
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)
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with gr.Column():
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with gr.Row():
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button_text.click(
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get_answer_text,
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[text, chat, user_id, checkbox, radio],
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[video, output_audio, chat, text]
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)
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button_audio.click(
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get_answer_audio,
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[audio, chat, user_id, checkbox, radio],
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[video, output_audio, chat, audio]
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)
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functions.py
CHANGED
@@ -7,14 +7,6 @@ import gradio as gr
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from datetime import datetime
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from huggingface_hub import hf_hub_download, HfApi
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API_TOKEN = os.getenv('API_TOKEN')
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API_URL = os.getenv('API_URL')
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headers = {
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"Authorization": f"Bearer {API_TOKEN}",
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"Content-Type": "application/json"
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}
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def get_main_data():
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"""
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@@ -43,10 +35,18 @@ def make_visible():
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return gr.Row.update(visible=True), gr.Row.update(visible=True)
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def _query(payload):
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"""
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Returns the json from a post request. It is done to the BellaAPI
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"""
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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@@ -71,7 +71,7 @@ def init_chatbot(chatbot: list[tuple[str, str]]):
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"date": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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'get_video': True
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}}
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output = _query(inputs)
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chatbot.append(('', output['answer']))
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_download_media(output['link_media'], 'video')
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@@ -79,7 +79,9 @@ def init_chatbot(chatbot: list[tuple[str, str]]):
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return 'video.mp4', chatbot, output['user_id']
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def get_answer_text(
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"""
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Gets the answer of the chatbot
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"""
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@@ -87,11 +89,13 @@ def get_answer_text(question: str, chatbot: list[tuple[str, str]], user_id: str,
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inputs = {'inputs': {
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'text': question, 'user_id': user_id, 'get_video': checkbox
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}}
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output = _query(inputs)
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return _update_elements(question, chatbot, output, checkbox, '')
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def get_answer_audio(
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"""
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Gets the answer of the chatbot
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"""
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@@ -104,7 +108,7 @@ def get_answer_audio(audio_path, chatbot: list[tuple[str, str]], user_id: str, c
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inputs = {'inputs': {
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'is_audio': True, 'audio': encoded_audio, 'user_id': user_id, 'get_video': checkbox
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}}
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output = _query(inputs)
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# Transcription of the audio
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question = output['question']
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from datetime import datetime
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from huggingface_hub import hf_hub_download, HfApi
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def get_main_data():
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"""
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return gr.Row.update(visible=True), gr.Row.update(visible=True)
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def _query(payload, size_gpu: str):
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"""
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Returns the json from a post request. It is done to the BellaAPI
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"""
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API_TOKEN = os.getenv(f'API_TOKEN')
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API_URL = os.getenv(f'API_URL_{size_gpu}')
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headers = {
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"Authorization": f"Bearer {API_TOKEN}",
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"Content-Type": "application/json"
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}
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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"date": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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'get_video': True
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}}
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output = _query(inputs, 'small')
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chatbot.append(('', output['answer']))
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_download_media(output['link_media'], 'video')
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return 'video.mp4', chatbot, output['user_id']
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def get_answer_text(
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question: str, chatbot: list[tuple[str, str]], user_id: str, checkbox: bool, size_gpu: str
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):
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"""
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Gets the answer of the chatbot
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"""
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inputs = {'inputs': {
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'text': question, 'user_id': user_id, 'get_video': checkbox
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}}
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output = _query(inputs, size_gpu)
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return _update_elements(question, chatbot, output, checkbox, '')
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def get_answer_audio(
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audio_path, chatbot: list[tuple[str, str]], user_id: str, checkbox: bool, size_gpu: str
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):
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"""
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Gets the answer of the chatbot
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"""
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inputs = {'inputs': {
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'is_audio': True, 'audio': encoded_audio, 'user_id': user_id, 'get_video': checkbox
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}}
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output = _query(inputs, size_gpu)
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# Transcription of the audio
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question = output['question']
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