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Update app.py
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app.py
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@@ -8,18 +8,23 @@ import torch
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import gradio as gr
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from torchaudio import load
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os.environ["COQUI_TOS_AGREED"] = "1"
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# Function to always return 'y'
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def always_yes(*args, **kwargs):
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return 'y'
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-
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# Patch the input function to always return 'y'
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with patch('builtins.input', always_yes):
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2", progress_bar=False).to(device)
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#sa = 'sampleaudio.wav'
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@@ -38,6 +43,8 @@ def text_to_speech(text):
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return save_path
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except Exception as e:
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return str(e)
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def extract_text_from_pdf(file_path):
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with open(file_path, 'rb') as file:
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@@ -69,4 +76,7 @@ def handle_inputs(text, file):
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audio_path = file_to_audio(file)
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return audio_path, 'Thanks for your File'
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else:
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return None, "No input provided."
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import gradio as gr
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from torchaudio import load
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print("completed imported packages")
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os.environ["COQUI_TOS_AGREED"] = "1"
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+
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# Function to always return 'y'
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def always_yes(*args, **kwargs):
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return 'y'
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# Patch the input function to always return 'y'
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with patch('builtins.input', always_yes):
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2", progress_bar=False).to(device)
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@spaces.GPU(enable_queue=True)
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print("loded the model")
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#sa = 'sampleaudio.wav'
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return save_path
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except Exception as e:
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return str(e)
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print("first function")
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def extract_text_from_pdf(file_path):
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with open(file_path, 'rb') as file:
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audio_path = file_to_audio(file)
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return audio_path, 'Thanks for your File'
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else:
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return None, "No input provided."
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print("last function")
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