upgrade interface

app.py

@@ -1,26 +1,24 @@
+import torch
+import spaces
 import gradio as gr
 import soundfile as sf
-import torch
 import numpy as np
+import pytube as pt
 import librosa
 from transformers import AutoProcessor, Wav2Vec2BertForCTC
-import spaces
 
 MODEL_NAME = "mikr/w2v-bert-2.0-czech-colab-cv16"
 
-device = 0 if torch.cuda.is_available() else "cpu"
 
-print("device:",device)
+device = 0 if torch.cuda.is_available() else "cpu"
 
 processor = AutoProcessor.from_pretrained(MODEL_NAME)
 model = Wav2Vec2BertForCTC.from_pretrained(MODEL_NAME).to(device)
 
 
 @spaces.GPU
-def transcribe(audio_path):
+def text_from_audio(audio_path):
     a, s = librosa.load(audio_path, sr=16_000)
-
-    # inputs = processor(a, sampling_rate=s, return_tensors="pt")
     input_values = processor(a, sampling_rate=s, return_tensors="pt").input_features
 
     with torch.no_grad():
@@ -30,23 +28,80 @@ def transcribe(audio_path):
 
     # transcribe speech
     transcription = processor.batch_decode(predicted_ids)
-    return transcription[0]
+    text = transcription[0]
+    return text
+
+
+def transcribe(microphone, file_upload):
+    warn_output = ""
+    if (microphone is not None) and (file_upload is not None):
+        warn_output = (
+            "WARNING: You've uploaded an audio file and used the microphone. "
+            "The recorded file from the microphone will be used and the uploaded audio will be discarded.\n"
+        )
+
+    elif (microphone is None) and (file_upload is None):
+        return "ERROR: You have to either use the microphone or upload an audio file"
+
+    audio_path = microphone if microphone is not None else file_upload
+
+    text = text_from_audio(audio_path)
+
+    return warn_output + text
 
 
-iface = gr.Interface(
+def _return_yt_html_embed(yt_url):
+    video_id = yt_url.split("?v=")[-1]
+    HTML_str = (
+        f'<center> <iframe width="500" height="320" src="https://www.youtube.com/embed/{video_id}"> </iframe>'
+        " </center>"
+    )
+    return HTML_str
+
+
+def yt_transcribe(yt_url):
+    yt = pt.YouTube(yt_url)
+    html_embed_str = _return_yt_html_embed(yt_url)
+    stream = yt.streams.filter(only_audio=True)[0]
+    stream.download(filename="audio.mp3")
+
+    text = text_from_audio("audio.mp3")
+
+    return html_embed_str, text
+
+
+demo = gr.Blocks()
+
+mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.Audio(sources="upload", type="filepath", label="Upload Audio File"),  # Audio file upload
+        gr.Audio(sources="microphone", type="filepath"),
+        gr.Audio(sources="upload", type="filepath"),
     ],
     outputs="text",
-    theme="huggingface",
-    title="Czech W2V-BERT 2.0 speech encoder demo - transcribe Czech Audio",
+    title="W2V Bert 2.0 Demo: Transcribe Czech Audio",
     description=(
-        "Transcribe audio inputs with the click of a button! Demo uses the fine-tuned"
-        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) from Facebook W2V-BERT 2.0 speech encoder "
+        "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the fine-tuned"
+        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) "
         "and 🤗 Transformers to transcribe audio files of arbitrary length."
     ),
     allow_flagging="never",
 )
 
-iface.launch(server_name="0.0.0.0")
+yt_transcribe = gr.Interface(
+    fn=yt_transcribe,
+    inputs=[gr.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL")],
+    outputs=["html", "text"],
+    title="W2V Bert 2.0 Demo: Transcribe Czech YouTube Video",
+    description=(
+        "Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
+        f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
+        " arbitrary length."
+    ),
+    allow_flagging="never",
+)
+
+with demo:
+    gr.TabbedInterface([mf_transcribe, yt_transcribe], ["Transcribe Audio", "Transcribe YouTube"])
+
+demo.launch(server_name="0.0.0.0")