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Update app.py
Browse files
app.py
CHANGED
@@ -34,183 +34,8 @@ class PodcastGenerator:
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"speaker": 1,
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"line": "Yeah, it's definitely having a moment, isn't it?"
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{
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"speaker": 2,
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"line": "It is and for good reason, right? I mean, you've been digging into this stuff, listening to the podcasts and everything. What really stood out to you? What got you hooked?"
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"speaker": 1,
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"line": "Honestly, it's the sheer scale of what AGI could do. We're talking about potentially reshaping well everything."
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"speaker": 2,
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"line": "No kidding, but let's be real. Sometimes it feels like every other headline is either hyping AGI up as this technological utopia or painting it as our inevitable robot overlords."
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"speaker": 1,
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"line": "It's easy to get lost in the noise, for sure."
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"speaker": 2,
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"line": "Exactly. So how about we try to cut through some of that, shall we?"
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"speaker": 1,
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"line": "Sounds like a plan."
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"speaker": 2,
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"line": "Okay, so first things first, AGI, what is it really? And I don't just mean some dictionary definition, we're talking about something way bigger than just a super smart computer, right?"
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"speaker": 1,
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"line": "Right, it's not just about more processing power or better algorithms, it's about a fundamental shift in how we think about intelligence itself."
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"speaker": 2,
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"line": "So like, instead of programming a machine for a specific task, we're talking about creating something that can learn and adapt like we do."
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"speaker": 1,
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"line": "Exactly, think of it this way: Right now, we've got AI that can beat a grandmaster at chess but ask that same AI to, say, write a poem or compose a symphony. No chance."
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"speaker": 2,
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"line": "Okay, I see. So, AGI is about bridging that gap, creating something that can move between those different realms of knowledge seamlessly."
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"speaker": 1,
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"line": "Precisely. It's about replicating that uniquely human ability to learn something new and apply that knowledge in completely different contexts and that's a tall order, let me tell you."
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"speaker": 2,
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"line": "I bet. I mean, think about how much we still don't even understand about our own brains."
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"speaker": 1,
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"line": "That's exactly it. We're essentially trying to reverse-engineer something we don't fully comprehend."
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"speaker": 2,
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"line": "And how are researchers even approaching that? What are some of the big ideas out there?"
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"speaker": 1,
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"line": "Well, there are a few different schools of thought. One is this idea of neuromorphic computing where they're literally trying to build computer chips that mimic the structure and function of the human brain."
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"speaker": 2,
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"line": "Wow, so like actually replicating the physical architecture of the brain. That's wild."
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"speaker": 1,
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"line": "It's pretty mind-blowing stuff and then you've got folks working on something called whole brain emulation."
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"speaker": 2,
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"line": "Okay, and what's that all about?"
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"speaker": 1,
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"line": "The basic idea there is to create a complete digital copy of a human brain down to the last neuron and synapse and run it on a sufficiently powerful computer simulation."
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"speaker": 2,
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"line": "Hold on, a digital copy of an entire brain, that sounds like something straight out of science fiction."
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"speaker": 1,
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"line": "It does, doesn't it? But it gives you an idea of the kind of ambition we're talking about here and the truth is we're still a long way off from truly achieving AGI, no matter which approach you look at."
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"speaker": 2,
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"line": "That makes sense but it's still exciting to think about the possibilities, even if they're a ways off."
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"speaker": 1,
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"line": "Absolutely and those possibilities are what really get people fired up about AGI, right? Yeah."
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"speaker": 2,
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"line": "For sure. In fact, I remember you mentioning something in that podcast about AGI's potential to revolutionize scientific research. Something about supercharging breakthroughs."
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"speaker": 1,
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"line": "Oh, absolutely. Imagine an AI that doesn't just crunch numbers but actually understands scientific data the way a human researcher does. We're talking about potential breakthroughs in everything from medicine and healthcare to material science and climate change."
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"speaker": 2,
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"line": "It's like giving scientists this incredibly powerful new tool to tackle some of the biggest challenges we face."
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"speaker": 1,
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"line": "Exactly, it could be a total game changer."
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"speaker": 2,
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"line": "Okay, but let's be real, every coin has two sides. What about the potential downsides of AGI? Because it can't all be sunshine and roses, right?"
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"speaker": 1,
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"line": "Right, there are definitely valid concerns. Probably the biggest one is the impact on the job market. As AGI gets more sophisticated, there's a real chance it could automate a lot of jobs that are currently done by humans."
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"speaker": 2,
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"line": "So we're not just talking about robots taking over factories but potentially things like, what, legal work, analysis, even creative fields?"
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"speaker": 1,
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"line": "Potentially, yes. And that raises a whole host of questions about what happens to those workers, how we retrain them, how we ensure that the benefits of AGI are shared equitably."
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"speaker": 2,
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"line": "Right, because it's not just about the technology itself, but how we choose to integrate it into society."
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"speaker": 1,
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"line": "Absolutely. We need to be having these conversations now about ethics, about regulation, about how to make sure AGI is developed and deployed responsibly."
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"speaker": 2,
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"line": "So it's less about preventing some kind of sci-fi robot apocalypse and more about making sure we're steering this technology in the right direction from the get-go."
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"speaker": 1,
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"line": "Exactly, AGI has the potential to be incredibly beneficial, but it's not going to magically solve all our problems. It's on us to make sure we're using it for good."
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"speaker": 2,
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"line": "It's like you said earlier, it's about shaping the future of intelligence."
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"speaker": 1,
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"line": "I like that. It really is."
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"speaker": 2,
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"line": "And honestly, that's a responsibility that extends beyond just the researchers and the policymakers."
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"speaker": 1,
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"line": "100%"
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"speaker": 2,
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"line": "So to everyone listening out there I'll leave you with this. As AGI continues to develop, what role do you want to play in shaping its future?"
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"speaker": 1,
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"line": "That's a question worth pondering."
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"speaker": 2,
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"line": "It certainly is and on that note, we'll wrap up this deep dive. Thanks for listening, everyone."
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"speaker": 1,
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"line": "Peace."
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}
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]
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}
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"""
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logging.error("Process input error: %s", e)
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raise gr.Error(f"Error in processing input: {e}")
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#
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iface = gr.Interface(
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fn=process_input,
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inputs=[
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gr.Textbox(label="Input Text"),
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gr.File(label="Or Upload a PDF or TXT file"),
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gr.Dropdown(
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gr.Textbox(label="Your Gemini API Key (Optional) - In case you are getting rate limited"),
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],
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outputs=[
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gr.Audio(label="Generated Podcast Audio")
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],
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title="PodcastGen 🎙️",
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description="Generate a 2-speaker podcast from text input or documents!",
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)
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if __name__ == "__main__":
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iface.launch()
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{
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"speaker": 1,
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"line": "Yeah, it's definitely having a moment, isn't it?"
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}
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// ... (rest of the example)
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]
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}
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"""
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logging.error("Process input error: %s", e)
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raise gr.Error(f"Error in processing input: {e}")
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# Note the updated output: forcing type="filepath" to avoid the schema bug.
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iface = gr.Interface(
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fn=process_input,
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inputs=[
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gr.Textbox(label="Input Text"),
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gr.File(label="Or Upload a PDF or TXT file"),
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gr.Dropdown(
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label="Language",
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choices=[
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"Auto Detect",
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"Afrikaans", "Albanian", "Amharic", "Arabic", "Armenian", "Azerbaijani",
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"Bahasa Indonesian", "Bangla", "Basque", "Bengali", "Bosnian", "Bulgarian",
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"Burmese", "Catalan", "Chinese Cantonese", "Chinese Mandarin",
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"Chinese Taiwanese", "Croatian", "Czech", "Danish", "Dutch", "English",
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"Estonian", "Filipino", "Finnish", "French", "Galician", "Georgian",
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"German", "Greek", "Hebrew", "Hindi", "Hungarian", "Icelandic", "Irish",
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"Italian", "Japanese", "Javanese", "Kannada", "Kazakh", "Khmer", "Korean",
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"Lao", "Latvian", "Lithuanian", "Macedonian", "Malay", "Malayalam",
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"Maltese", "Mongolian", "Nepali", "Norwegian Bokmål", "Pashto", "Persian",
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"Polish", "Portuguese", "Romanian", "Russian", "Serbian", "Sinhala",
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"Slovak", "Slovene", "Somali", "Spanish", "Sundanese", "Swahili",
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"Swedish", "Tamil", "Telugu", "Thai", "Turkish", "Ukrainian", "Urdu",
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"Uzbek", "Vietnamese", "Welsh", "Zulu"
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],
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value="Auto Detect"
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),
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gr.Dropdown(
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label="Speaker 1 Voice",
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choices=[
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"Andrew - English (United States)",
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"Ava - English (United States)",
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"Brian - English (United States)",
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"Emma - English (United States)",
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"Florian - German (Germany)",
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"Seraphina - German (Germany)",
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"Remy - French (France)",
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"Vivienne - French (France)"
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],
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value="Andrew - English (United States)"
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),
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gr.Dropdown(
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label="Speaker 2 Voice",
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choices=[
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"Andrew - English (United States)",
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"Ava - English (United States)",
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"Brian - English (United States)",
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"Emma - English (United States)",
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"Florian - German (Germany)",
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"Seraphina - German (Germany)",
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"Remy - French (France)",
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"Vivienne - French (France)"
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],
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value="Ava - English (United States)"
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),
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gr.Textbox(label="Your Gemini API Key (Optional) - In case you are getting rate limited"),
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],
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outputs=[
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gr.Audio(label="Generated Podcast Audio", type="filepath")
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],
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title="PodcastGen 🎙️",
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description="Generate a 2-speaker podcast from text input or documents!",
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)
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if __name__ == "__main__":
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iface.launch()
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