import gradio as gr
from PIL import Image
import os
import openai
#api_key = os.environ.get('api_key')
from share_btn import community_icon_html, loading_icon_html, share_js
token = os.environ.get('HF_TOKEN')
whisper = gr.Interface.load(name="spaces/sanchit-gandhi/whisper-large-v2")
tts = gr.Interface.load(name="spaces/Flux9665/IMS-Toucan")
talking_face = gr.Blocks.load(name="spaces/gradio-tests/one-shot-talking-face", api_key=token)
def infer(audio, openai_api_key):
whisper_result = whisper(audio, None, "translate", fn_index=0)
gpt_response = try_api(whisper_result, openai_api_key)
audio_response = tts(gpt_response[0], "English Text", "English Accent", "English Speaker's Voice", fn_index=0)
portrait_link = talking_face("wise_woman_portrait.png", audio_response, fn_index=0)
return gr.Textbox.update(value=whisper_result, visible=True), portrait_link, gr.Textbox.update(value=gpt_response[1], visible=True), gr.Group.update(visible=True), gr.Button.update(visible=True)
def try_api(message, openai_api_key):
try:
response = call_api(message, openai_api_key)
return response, "no error"
except openai.error.Timeout as e:
#Handle timeout error, e.g. retry or log
print(f"OpenAI API request timed out: {e}")
return "oups", f"OpenAI API request timed out: {e}"
except openai.error.APIError as e:
#Handle API error, e.g. retry or log
print(f"OpenAI API returned an API Error: {e}")
return "oups", f"OpenAI API returned an API Error: {e}"
except openai.error.APIConnectionError as e:
#Handle connection error, e.g. check network or log
print(f"OpenAI API request failed to connect: {e}")
return "oups", f"OpenAI API request failed to connect: {e}"
except openai.error.InvalidRequestError as e:
#Handle invalid request error, e.g. validate parameters or log
print(f"OpenAI API request was invalid: {e}")
return "oups", f"OpenAI API request was invalid: {e}"
except openai.error.AuthenticationError as e:
#Handle authentication error, e.g. check credentials or log
print(f"OpenAI API request was not authorized: {e}")
return "oups", f"OpenAI API request was not authorized: {e}"
except openai.error.PermissionError as e:
#Handle permission error, e.g. check scope or log
print(f"OpenAI API request was not permitted: {e}")
return "oups", f"OpenAI API request was not permitted: {e}"
except openai.error.RateLimitError as e:
#Handle rate limit error, e.g. wait or log
print(f"OpenAI API request exceeded rate limit: {e}")
return "oups", f"OpenAI API request exceeded rate limit: {e}"
def call_api(message, openai_api_key):
print("starting open ai")
augmented_prompt = message + prevent_code_gen
openai.api_key = openai_api_key
response = openai.Completion.create(
model="text-davinci-003",
prompt=augmented_prompt,
temperature=0.5,
max_tokens=2048,
top_p=1,
frequency_penalty=0,
presence_penalty=0.6
)
print(response)
#return str(response.choices[0].text).split("\n",2)[2]
return str(response.choices[0].text)
def clean_components():
return gr.Audio.update(value=None), gr.HTML.update(visible=False), gr.Textbox.update(visible=False), gr.Video.update(value=None), gr.Group.update(visible=False), gr.Button.update(visible=False)
title = """
GPT Talking Portrait
Use Whisper to ask, alive portrait responds !
"""
article = """
You may also like:
"""
prevent_code_gen = """
If i am asking for code generation, do not provide me with code. Instead, give me a summury of good hints about how i could do what i asked, but shortly.
If i am not asking for code generation, do as usual.
"""
with gr.Blocks(css="style.css") as demo:
with gr.Column(elem_id="col-container"):
gr.HTML(title)
gpt_response = gr.Video(label="Talking Portrait response", elem_id="video_out")
whisper_tr = gr.Textbox(label="whisper english translation", elem_id="text_inp", visible=False)
with gr.Row(elem_id="secondary-buttons"):
clean_btn = gr.Button(value="Clean", elem_id="clean-btn", visible=False)
with gr.Group(elem_id="share-btn-container", visible=False) as share_group:
community_icon = gr.HTML(community_icon_html)
loading_icon = gr.HTML(loading_icon_html)
share_button = gr.Button("Share to community", elem_id="share-btn")
error_handler = gr.HTML(visible=False, show_label=False, elem_id="error_handler")
with gr.Column(elem_id="col-container-2"):
with gr.Column():
with gr.Row():
record_input = gr.Audio(source="microphone",type="filepath", label="Audio input", show_label=True, elem_id="record_btn")
openai_api_key = gr.Textbox(max_lines=1, type="password", label="🔐 Your OpenAI API Key", placeholder="sk-123abc...")
send_btn = gr.Button("Send my request !")
gr.HTML(article)
clean_btn.click(clean_components, scroll_to_output=True, inputs=[], outputs=[record_input, error_handler, whisper_tr, gpt_response, share_group, clean_btn])
send_btn.click(infer, inputs=[record_input, openai_api_key], outputs=[whisper_tr, gpt_response, error_handler, share_group, clean_btn])
share_button.click(None, [], [], _js=share_js)
demo.queue(max_size=32, concurrency_count=20).launch(debug=True)