Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load ASR model
+transcriber = pipeline(
+    "automatic-speech-recognition", 
+    model="openai/whisper-base"
+)
+
+# Transcription function
+def transcribe_audio(audio):
+    if audio is None:
+        return "No audio recorded. Please record something."
+    
+    result = transcriber(audio)
+    return result["text"]
+
+# Create interface
+interface = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.Audio(sources=["microphone"], type="filepath"),
+    outputs=gr.Textbox(label="Transcription"),
+    title="Automatic Speech Recognition",
+    description="Click the microphone icon, speak, then click stop. Your speech will be transcribed."
+)
+
+# Launch
+interface.launch()