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minimal_app.py
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#!/usr/bin/env python3
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"""
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Minimal version of AutoStartup.ai for debugging HuggingFace deployment
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"""
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import gradio as gr
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import os
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def test_environment():
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"""Test if environment variables are properly set"""
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api_key = os.getenv("OPENAI_API_KEY")
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endpoint = os.getenv("OPENAI_API_ENDPOINT")
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model = os.getenv("OPENAI_MODEL")
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if not api_key:
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return "❌ OPENAI_API_KEY not found"
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if not endpoint:
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return "❌ OPENAI_API_ENDPOINT not found"
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if not model:
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return "❌ OPENAI_MODEL not found"
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return f"✅ Environment OK\n- API Key: {api_key[:10]}...\n- Endpoint: {endpoint}\n- Model: {model}"
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def simple_generate(query):
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"""Simple test function"""
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if not query.strip():
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return "Please enter a query"
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try:
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from openai import OpenAI
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client = OpenAI(
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api_key=os.getenv("OPENAI_API_KEY"),
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base_url=os.getenv("OPENAI_API_ENDPOINT")
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)
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response = client.chat.completions.create(
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model=os.getenv("OPENAI_MODEL"),
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messages=[
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{"role": "system", "content": "You are a helpful startup idea generator."},
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{"role": "user", "content": f"Generate a simple startup idea for: {query}"}
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],
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max_tokens=200
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)
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return f"✅ API Working!\n\nIdea: {response.choices[0].message.content}"
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except Exception as e:
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return f"❌ Error: {str(e)}"
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# Simple Gradio interface for testing
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with gr.Blocks(title="AutoStartup.ai - Debug Mode") as demo:
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gr.Markdown(
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"""
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# 🔧 AutoStartup.ai - Debug Mode
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This is a minimal version to test the deployment and API connectivity.
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"""
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)
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with gr.Row():
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with gr.Column():
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env_status = gr.Textbox(
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label="Environment Status",
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value=test_environment(),
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interactive=False,
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lines=5
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)
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query_input = gr.Textbox(
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label="Test Query",
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placeholder="Enter a market problem or industry focus...",
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lines=3
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)
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test_button = gr.Button("🧪 Test API Connection", variant="primary")
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with gr.Column():
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result_output = gr.Textbox(
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label="Test Result",
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interactive=False,
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lines=10
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)
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test_button.click(
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fn=simple_generate,
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inputs=[query_input],
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outputs=[result_output]
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)
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if __name__ == "__main__":
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demo.launch()
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