Create app.py
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app.py
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import gradio as gr
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import random
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CANNED_RESPONSES = {
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"introduce": "I am Sanchari — an upcoming AI assistant designed for multilingual and Indian language tasks. (Demo output only.)",
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"summarize": "Demo summary: This is a placeholder summary. The real model will generate structured summaries after training.",
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"email": "Demo email:\n\nHello,\n\nThis is a placeholder email drafted by Sanchari. Final model will generate complete business emails.\n\nRegards,\nSanchari",
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"default": [
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"Demo reply: Sanchari is under training. You’re viewing a preview demo.",
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"Demo reply: Placeholder response for investor preview. Full outputs coming soon."
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]
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}
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def generate(prompt):
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prompt_lower = prompt.lower()
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if "introduce" in prompt_lower or "who are you" in prompt_lower:
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return CANNED_RESPONSES["introduce"]
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if "summary" in prompt_lower or "summar" in prompt_lower:
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return CANNED_RESPONSES["summarize"]
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if "email" in prompt_lower or "write" in prompt_lower:
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return CANNED_RESPONSES["email"]
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return random.choice(CANNED_RESPONSES["default"])
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demo = gr.Interface(
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fn=generate,
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inputs=gr.Textbox(label="Your prompt here"),
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outputs=gr.Textbox(label="Sanchari Demo Output"),
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title="Sanchari — Demo (Investor Preview)",
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description="This is a placeholder demo with canned responses. Full AI model coming soon after training."
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)
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demo.launch()
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