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import gradio as gr
from utils import generate_script, generate_audio, truncate_text
from prompts import SYSTEM_PROMPT
from pydub import AudioSegment
import pypdf
import os
import io
import tempfile
def generate_podcast(file, tone, length):
# Extract text from PDF
if not file.name.lower().endswith('.pdf'):
raise gr.Error("Please upload a PDF file.")
try:
pdf_reader = pypdf.PdfReader(file.name)
text = ""
for page in pdf_reader.pages:
text += page.extract_text()
except Exception as e:
raise gr.Error(f"Error reading the PDF file: {str(e)}")
# Truncate text to 2048 tokens
truncated_text = truncate_text(text)
if len(truncated_text) < len(text):
print("Warning: The input text was truncated to fit within 2048 tokens.")
# Generate script
try:
script = generate_script(SYSTEM_PROMPT, truncated_text, tone)
except Exception as e:
raise gr.Error(f"Error generating script: {str(e)}")
# Generate audio for each dialogue item
audio_segments = []
transcript = ""
try:
for item in script.dialogue:
audio_file = generate_audio(item.text, item.speaker)
audio_segment = AudioSegment.from_mp3(audio_file)
audio_segments.append(audio_segment)
transcript += f"**{item.speaker}**: {item.text}\n\n"
os.remove(audio_file) # Clean up temporary audio file
except Exception as e:
raise gr.Error(f"Error generating audio: {str(e)}")
# Combine audio segments
combined_audio = sum(audio_segments)
# Adjust length if needed
if length == "Short (1-2 min)":
combined_audio = combined_audio[:120000] # 2 minutes max
else: # "Medium (3-5 min)"
combined_audio = combined_audio[:300000] # 5 minutes max
# Save combined audio to a temporary file
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
combined_audio.export(temp_audio.name, format="mp3")
temp_audio_path = temp_audio.name
return temp_audio_path, transcript
instructions = """
# Podcast Generator
Welcome to the Podcast Generator project! This tool allows you to create custom podcast episodes using AI-generated content.
## Features
* Generate podcast scripts from PDF content
* Convert text to speech for a natural listening experience
* Choose the tone of your podcast
* Export episodes as MP3 files
## How to Use
1. Upload a PDF file (content will be truncated to 2048 tokens if longer)
2. Select the desired tone (humorous, casual, formal)
3. Choose the podcast length
4. Click "Generate" to create your podcast
5. Listen to the generated audio and review the transcript
Note: This tool uses the LLaMa 3.1 70B model for script generation and gTTS for text-to-speech conversion. The input is limited to 2048 tokens to ensure compatibility with the model.
"""
iface = gr.Interface(
fn=generate_podcast,
inputs=[
gr.File(label="Upload PDF file", file_types=[".pdf"]),
gr.Radio(["humorous", "casual", "formal"], label="Select podcast tone", value="casual"),
gr.Radio(["Short (1-2 min)", "Medium (3-5 min)"], label="Podcast length", value="Medium (3-5 min)")
],
outputs=[
gr.Audio(label="Generated Podcast"),
gr.Markdown(label="Transcript")
],
title="Custom NotebookLM-type Podcast Generator (2048 token limit)",
description=instructions,
allow_flagging="never",
theme=gr.themes.Soft()
)
if __name__ == "__main__":
iface.launch() |