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app.py
CHANGED
@@ -1,16 +1,12 @@
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import torch
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import gradio as gr
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import pytube as pt
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from transformers import pipeline
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from diffusers import StableDiffusionPipeline
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MODEL_NAME = "whispy/whisper_italian"
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device = 0 if torch.cuda.is_available() else "cpu"
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summarizer = pipeline(
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"summarization",
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model="it5/it5-efficient-small-el32-news-summarization",
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@@ -20,13 +16,12 @@ pipe = pipeline(
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task="automatic-speech-recognition",
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model=MODEL_NAME,
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chunk_length_s=30,
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device=
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)
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YOUR_TOKEN="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"
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image_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=YOUR_TOKEN)
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image_pipe.to("cuda")
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-it-en")
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import torch
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import gradio as gr
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import pytube as pt
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from transformers import pipeline
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from diffusers import StableDiffusionPipeline
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MODEL_NAME = "whispy/whisper_italian"
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summarizer = pipeline(
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"summarization",
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model="it5/it5-efficient-small-el32-news-summarization",
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task="automatic-speech-recognition",
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model=MODEL_NAME,
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chunk_length_s=30,
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device="cpu",
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)
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YOUR_TOKEN="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"
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image_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=YOUR_TOKEN)
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image_pipe.to("cpu")
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-it-en")
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