spanishVersion

app.py

@@ -0,0 +1,43 @@
+
+
+import gradio as gr
+from transformers import pipeline
+import tempfile
+import os
+
+# with open("../../token.txt", "r") as file:
+#     token = file.readline().strip()
+#
+#
+# login(token=token, add_to_git_credential=True)
+
+pipe = pipeline(model="dacavi/whisper-small-es")
+
+def transcribe_video(video_url):
+    # Download video and extract audio
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=True) as temp_audio:
+        # os.system(f"yt-dlp -o {temp_audio.name} -x --audio-format wav {video_url}")
+        os.system(f"yt-dlp -o audioSample.wav -x --audio-format wav {video_url}")
+
+        print("Downloaded audio:", temp_audio.name)
+
+
+    # Transcribe audio
+        text = pipe("audioSample.wav")["text"]
+
+    # Clean up temporary files
+        os.remove("audioSample.wav")
+
+
+    return text
+
+iface = gr.Interface(
+    fn=transcribe_video,
+    inputs="text",
+    outputs="text",
+    live=True,
+    title="Video Transcription",
+    description="Paste the URL of a video to transcribe the spoken content.",
+)
+
+iface.launch()

requirements.txt

@@ -0,0 +1,8 @@
+transformers
+torch
+tensorflow
+moviepy==1.0.3
+ffmpeg
+ffprobe
+yt-dlp
+pydub