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app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Load model
+pipe = pipeline(
+    "automatic-speech-recognition",
+    model="baaabaei/whisper-small-fa"
+)
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(sources=["microphone"], type="filepath"),
+    outputs="text",
+    title="Persian Speech Recognition",
+    description="Real-time Persian speech-to-text using fine-tuned Whisper-small",
+    examples=[["path_to_sample_audio.wav"]]  # Add sample audio if available
+)
+
+interface.launch()

requirements.txt

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+torch
+transformers
+gradio
+datasets