Delete app.py

app.py

@@ -1,152 +0,0 @@
-from utils import generate_podcast
-import streamlit as st
-import time
-import re
-import os
-import tempfile
-import pypdf
-from pydub import AudioSegment, effects
-import difflib  # For computing differences between texts
-
-from utils import (
-    generate_script,
-    generate_audio_mp3,
-    truncate_text,
-    extract_text_from_url,
-    transcribe_youtube_video,
-    research_topic
-)
-from prompts import SYSTEM_PROMPT
-
-
-def parse_user_edited_transcript(edited_text: str):
-    pattern = r"\*\*(Jane|John)\*\*:\s*(.+)"
-    matches = re.findall(pattern, edited_text)
-    if not matches:
-        return [("Jane", edited_text)]
-    return matches
-
-
-def regenerate_audio_from_dialogue(dialogue_items):
-    audio_segments = []
-    transcript = ""
-    crossfade_duration = 50  # in ms
-
-    for speaker, line_text in dialogue_items:
-        audio_file = generate_audio_mp3(line_text, speaker)
-        seg = AudioSegment.from_file(audio_file, format="mp3")
-        audio_segments.append(seg)
-        transcript += f"**{speaker}**: {line_text}\n\n"
-        os.remove(audio_file)
-
-    if not audio_segments:
-        return None, "No audio segments were generated."
-
-    combined_spoken = audio_segments[0]
-    for seg in audio_segments[1:]:
-        combined_spoken = combined_spoken.append(seg, crossfade=crossfade_duration)
-
-    final_mix = mix_with_bg_music(combined_spoken)
-
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
-        final_mix.export(temp_audio.name, format="mp3")
-        final_mp3_path = temp_audio.name
-
-    with open(final_mp3_path, "rb") as f:
-        audio_bytes = f.read()
-    os.remove(final_mp3_path)
-
-    return audio_bytes, transcript
-
-
-def main():
-    st.set_page_config(page_title="MyPod - AI-powered Podcast Generator", layout="centered")
-
-    # Display logo from the root directory
-    st.image("logomypod.jpg", width=150)
-    
-    # Main app header
-    st.markdown("## MyPod - AI powered Podcast Generator")
-
-    st.markdown(
-        "Welcome to **MyPod**, your go-to AI-powered podcast generator! 🎉\n\n"
-        "MyPod transforms your documents, webpages, YouTube videos, or research topics into a more human-sounding, conversational podcast.\n"
-        "Select a tone and a duration range. The script will be on-topic, concise, and respect your chosen length.\n\n"
-        "### How to use:\n"
-        "1. **Provide one source:** PDF Files, Website URL, YouTube link or a Topic to Research.\n"
-        "2. **Choose the tone and the target duration.**\n"
-        "3. **Click 'Generate Podcast'** to produce your podcast. After the audio is generated, you can edit the transcript and re-generate the audio with your edits if needed.\n\n"
-        "**Research a Topic:** If your topic is too niche or vague, you might not get the desired outcome.\n\n"
-        "**Token Limit:** Up to ~2,048 tokens are supported. Long inputs may be truncated.\n"
-        "**Note:** YouTube videos will only work if they have captions built in.\n\n"
-        "⏳**Please be patient while your podcast is being generated.** This process involves content analysis, script creation, "
-        "and high-quality audio synthesis, which may take a few minutes.\n\n"
-        "🔥 **Ready to create your personalized podcast?** Give it a try now and let the magic happen! 🔥"
-    )
-
-    col1, col2 = st.columns(2)
-    with col1:
-        file = st.file_uploader("Upload PDF", type=["pdf"])
-        url = st.text_input("Or Enter URL")
-        video_url = st.text_input("Or Enter YouTube Link")
-    with col2:
-        research_topic_input = st.text_input("Or Research a Topic")
-        tone = st.radio("Tone", ["Humorous", "Formal", "Casual", "Youthful"], index=2)
-        length = st.radio("Length", ["1-3 Mins", "3-5 Mins", "5-10 Mins", "10-20 Mins"], index=0)
-
-    if "audio_bytes" not in st.session_state:
-        st.session_state["audio_bytes"] = None
-    if "transcript" not in st.session_state:
-        st.session_state["transcript"] = None
-    if "transcript_original" not in st.session_state:
-        st.session_state["transcript_original"] = None
-
-    generate_button = st.button("Generate Podcast")
-
-    if generate_button:
-        progress_bar = st.progress(0)
-        progress_text = st.empty()
-
-        progress_text.write("🔍 Analyzing your input...")
-        progress_bar.progress(0)
-        time.sleep(1.0)
-
-        progress_text.write("📝 Crafting the script...")
-        progress_bar.progress(25)
-        time.sleep(1.0)
-
-        progress_text.write("🎙️ Generating audio...")
-        progress_bar.progress(50)
-        time.sleep(1.0)
-
-        progress_text.write("🎶 Adding finishing touches...")
-        progress_bar.progress(75)
-        time.sleep(1.0)
-
-        audio_bytes, transcript = generate_podcast(
-            file, url, video_url, research_topic_input, tone, length
-        )
-
-        progress_bar.progress(100)
-        progress_text.write("✅ Done!")
-
-        if audio_bytes is None:
-            st.error(transcript)
-        else:
-            st.success("Podcast generated successfully!")
-            st.session_state["audio_bytes"] = audio_bytes
-            st.session_state["transcript"] = transcript
-            st.session_state["transcript_original"] = transcript
-
-    if st.session_state["audio_bytes"]:
-        st.audio(st.session_state["audio_bytes"], format='audio/mp3')
-        st.download_button(
-            label="Download Podcast",
-            data=st.session_state["audio_bytes"],
-            file_name="my_podcast.mp3",
-            mime="audio/mpeg"
-        )
-
-
-if __name__ == "__main__":
-    main()