Delete app.py

app.py

@@ -1,39 +0,0 @@
-import streamlit as st
-import whisper
-import tempfile
-import os
-
-st.title("🎙️ Audio to SRT Transcription App (Whisper)")
-
-uploaded_file = st.file_uploader("Upload an audio file", type=["mp3", "wav", "m4a"])
-
-if uploaded_file is not None:
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmpfile:
-        file_path = tmpfile.name
-        tmpfile.write(uploaded_file.read())
-
-    st.audio(uploaded_file, format="audio/wav")
-
-    # Load Whisper model
-    model = whisper.load_model("large")  # Change to "medium" or "large" for better accuracy
-
-    # Transcribe
-    result = model.transcribe(file_path)
-
-    # Save as SRT
-    srt_path = file_path.replace(".wav", ".srt")
-    with open(srt_path, "w") as srt_file:
-        for i, segment in enumerate(result["segments"]):
-            start = segment["start"]
-            end = segment["end"]
-            text = segment["text"]
-            srt_file.write(f"{i+1}\n{start:.3f} --> {end:.3f}\n{text}\n\n")
-
-    st.success("✅ Transcription Complete!")
-    st.text_area("Transcribed Text:", result["text"], height=200)
-
-    with open(srt_path, "rb") as srt_file:
-        st.download_button("📥 Download SRT File", srt_file, file_name="transcription.srt", mime="text/plain")
-
-    os.remove(file_path)
-    os.remove(srt_path)