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app (1).py

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+
+import gradio as gr
+from transformers import pipeline
+
+# Load the model
+asr = pipeline("automatic-speech-recognition", model="Abdallahsadek/speech-to-text-model2")
+
+# Transcription function
+def transcribe(audio):
+    return asr(audio)["text"]
+
+# Gradio interface
+interface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(sources=["microphone", "upload"], type="filepath"),
+    outputs="text",
+    title="🎙️ Speech-to-Text",
+    description="Speak or upload an audio file to transcribe it using Hugging Face model.",
+)
+
+interface.launch()

requirements.txt

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+gradio
+transformers
+torchaudio