Update app.py

app.py

@@ -16,6 +16,12 @@ device = "cpu"
 whisper_model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-tiny").to(device)
 processor = AutoProcessor.from_pretrained("openai/whisper-tiny")
 whisper_pipeline = pipeline("automatic-speech-recognition", model="openai/whisper-tiny", device=device)
+# Transcribe with Whisper Tiny
+with torch.no_grad():
+    result = whisper_pipeline(temp_audio_path, return_timestamps=True)
+    text_output = result["text"]
+
+st.write("Transcribed Text:", text_output)
 
 
 # Load Stable Diffusion model