Upload 2 files

app.py

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+import gradio as gr
+import whisper
+import os
+import tempfile
+
+model = None
+
+def load_model():
+    global model
+    if model is None:
+        model = whisper.load_model("base")
+    return model
+
+def transcribe(file):
+    if file is None:
+        return "Please upload a video or audio file."
+
+    try:
+        m = load_model()
+        result = m.transcribe(file, language="en", verbose=False)
+        transcript = result["text"].strip()
+        return transcript
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+demo = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(type="filepath", label="Upload your video or audio file"),
+    outputs=gr.Textbox(label="Transcript", lines=15, show_copy_button=True),
+    title="🎙️ AI Video Transcriber",
+    description="Upload any video or audio file and get a full transcript powered by OpenAI Whisper.",
+    examples=[],
+    theme=gr.themes.Soft()
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+openai-whisper
+ffmpeg-python