siddhartharya
commited on
Commit
•
5f5ebb2
1
Parent(s):
373ef26
Update app.py
Browse files
app.py
CHANGED
@@ -43,10 +43,13 @@ def generate_podcast(file, url, tone, length):
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try:
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for item in script.dialogue:
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audio_file = generate_audio(item.text, item.speaker)
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audio_segment = AudioSegment.
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audio_segments.append(audio_segment)
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transcript += f"**{item.speaker}**: {item.text}\n\n"
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os.remove(audio_file) # Clean up temporary audio file
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except Exception as e:
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raise gr.Error(f"Error generating audio: {str(e)}")
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@@ -58,44 +61,4 @@ def generate_podcast(file, url, tone, length):
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return temp_audio_path, transcript
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-
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# Podcast Generator
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Welcome to the Podcast Generator project! This tool allows you to create custom podcast episodes using AI-generated content.
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## Features
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* Generate podcast scripts from PDF content or web pages
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* Convert text to speech for a natural listening experience
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* Choose the tone of your podcast
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* Export episodes as MP3 files
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## How to Use
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1. Upload a PDF file OR enter a URL (content will be truncated to 2048 tokens if longer)
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2. Select the desired tone (humorous, casual, formal)
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3. Choose the podcast length
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4. Click "Generate" to create your podcast
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5. Listen to the generated audio and review the transcript
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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.
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"""
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iface = gr.Interface(
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fn=generate_podcast,
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inputs=[
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gr.File(label="Upload PDF file (optional)", file_types=[".pdf"]),
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gr.Textbox(label="OR Enter URL"),
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gr.Radio(["humorous", "casual", "formal"], label="Select podcast tone", value="casual"),
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gr.Radio(["Short (1-2 min)", "Medium (3-5 min)"], label="Podcast length", value="Medium (3-5 min)")
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],
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outputs=[
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gr.Audio(label="Generated Podcast"),
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gr.Markdown(label="Transcript")
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],
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title="Custom NotebookLM-type Podcast Generator (2048 token limit)",
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description=instructions,
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allow_flagging="never",
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theme=gr.themes.Soft()
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)
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if __name__ == "__main__":
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iface.launch()
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try:
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for item in script.dialogue:
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audio_file = generate_audio(item.text, item.speaker)
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audio_segment = AudioSegment.from_wav(audio_file)
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audio_segments.append(audio_segment)
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transcript += f"**{item.speaker}**: {item.text}\n\n"
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os.remove(audio_file) # Clean up temporary audio file
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# Yield progress updates
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yield None, f"Generating audio for {item.speaker}..."
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except Exception as e:
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raise gr.Error(f"Error generating audio: {str(e)}")
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return temp_audio_path, transcript
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# The rest of the app.py file remains the same...
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