Deploy application

app.py

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+import gradio as gr
+import whisper
+import tempfile
+import os
+
+model = whisper.load_model("base")
+
+
+def video_to_text(video_file):
+    temp_dir = tempfile.mkdtemp()
+    video_path = os.path.join(temp_dir, "input_video.mp4")
+
+    with open(video_path, 'wb') as f: 
+        f.write(video_file.read())
+
+    transcription = model.transcribe(video_path)
+    os.remove(video_path)
+    return transcription['text']
+
+
+iface = gr.Interface(
+    fn=video_to_text,
+    inputs=gr.Video(type="file"),
+    outputs="text",
+    title="Video to Text Transcription",
+    description="Upload a video and get the transcribed text"
+)
+
+iface.launch()

requirements.txt

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+gradio
+whisper
+ffmpeg-python