Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+import whisper
+
+# Load Whisper model
+model = whisper.load_model("base")  # or "small" if CPU only
+
+def transcribe_audio(audio):
+    result = model.transcribe(audio)
+    text = result['text']
+
+    # Simple Tagalog detection
+    tagalog_words = ["ang", "si", "ni", "ay", "sa", "ng"]
+    flagged = any(word in text.split() for word in tagalog_words)
+
+    return text, "⚠ Tagalog detected!" if flagged else "No Tagalog detected"
+
+iface = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.Audio(source="upload", type="filepath"),
+    outputs=[gr.Textbox(label="Transcript"), gr.Textbox(label="Flag")],
+    title="ClassWatch Audio Transcriber",
+    description="Upload classroom audio to get a transcript and detect if Tagalog is used."
+)
+
+iface.launch()