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Update app.py
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app.py
CHANGED
@@ -1,6 +1,7 @@
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import gradio as gr
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from speechbrain.inference import EncoderClassifier
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import torch
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import subprocess
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import os
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import uuid
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@@ -14,16 +15,86 @@ def get_model():
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model = EncoderClassifier.from_hparams("Jzuluaga/accent-id-commonaccent_ecapa")
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return model
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}
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def extract_audio(video_file):
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audio_path = f"audio_{uuid.uuid4()}.wav"
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@@ -35,6 +106,7 @@ def extract_audio(video_file):
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subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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return audio_path
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def classify_accent(input_file_or_url):
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model = get_model()
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import gradio as gr
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from speechbrain.inference import EncoderClassifier
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import torch
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import requests
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import subprocess
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import os
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import uuid
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model = EncoderClassifier.from_hparams("Jzuluaga/accent-id-commonaccent_ecapa")
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return model
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def extract_id_from_url(url):
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urlRet = url.split("/")[-1]
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if '?' in urlRet:
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urlRet = urlRet.split("?")[0]
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return urlRet
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def fetch_loom_download_url(id):
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response = requests.post(url=f"https://www.loom.com/api/campaigns/sessions/{id}/transcoded-url")
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if response.status_code == 200:
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return response.json()["url"]
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else:
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print("Error while retrieving response: ", response.status_code)
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exit
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def download_loom_video(url, filename):
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headers = {
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"User-Agent": "Mozilla/5.0"
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}
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try:
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with requests.get(url, headers=headers, stream=True) as response:
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response.raise_for_status()
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with open(filename, "wb") as f:
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for chunk in response.iter_content(chunk_size=8192):
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if chunk:
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f.write(chunk)
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print(f"Downloaded video to {filename}")
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return filename
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except requests.exceptions.RequestException as e:
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print(f"Failed to download Loom video: {e}")
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return None
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def download_direct_mp4(url, filename):
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try:
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response = requests.get(url, stream=True)
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response.raise_for_status()
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with open(filename, "wb") as f:
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for chunk in response.iter_content(chunk_size=8192):
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if chunk:
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f.write(chunk)
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return filename
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except Exception as e:
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print(f"Error downloading direct mp4: {e}")
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return None
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def download_video_from_url(url):
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if "loom.com" in url:
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video_id = extract_id_from_url(url)
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print(video_id)
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direct_url = fetch_loom_download_url(video_id)
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print(direct_url)
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filename = f"LoomVideo_{video_id}.mp4"
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success = download_loom_video(direct_url, filename)
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print(success)
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return filename if success else None
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elif url.endswith(".mp4"):
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filename = f"video_{uuid.uuid4()}.mp4"
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result = download_direct_mp4(url, filename)
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return result
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else:
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# fallback to yt_dlp for youtube, vimeo, etc.
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out_path = f"video_{uuid.uuid4()}.mp4"
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ydl_opts = {
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'format': 'bestaudio/best',
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'outtmpl': out_path,
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'quiet': True,
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}
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with yt_dlp.YoutubeDL(ydl_opts) as ydl:
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ydl.download([url])
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return out_path
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def extract_audio(video_file):
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audio_path = f"audio_{uuid.uuid4()}.wav"
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subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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return audio_path
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def classify_accent(input_file_or_url):
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model = get_model()
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