Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+import whisper
+
+# Choose model: "tiny" for faster, "base" for better accuracy
+model = whisper.load_model("small")
+
+def transcribe(audio):
+    if audio is None:
+        return "Please upload an audio file."
+    result = model.transcribe(audio)
+    return result["text"]
+
+app = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(sources=["microphone", "upload"], type="filepath"),
+    outputs="textbox",
+    title="🎙️ Whisper Speech-to-Text",
+    description="Transcribe audio to text using OpenAI Whisper (Tiny model).",
+)
+
+app.launch()