app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
import torch

# ✅ نموذج خفيف مناسب لـ CPU
model_id = "bert-base-multilingual-cased"

# ✅ تحميل النموذج والتوكن
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float32,
    #device_map="cpu"
)

# ✅ إعداد pipeline النصي
generator = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    max_new_tokens=256,
    temperature=0.7,
    return_full_text=False
)
SYSTEM_PROMPT = """
You are an expert business analyst. Your task is to classify the business idea as either:
1. Startup: Innovative, scalable, tech-driven concept targeting rapid growth and unconventional funding.
2. Traditional Business: Conventional model focusing on local markets with traditional funding sources.

Provide only:
1. Classification: "Startup" or "Traditional Business"
2. Reason: A brief 1-2 sentence explanation of your decision

Focus specifically on whether the idea shows:
- High innovation and scalability (Startup)
- Conventional approach with local focus (Traditional Business)

Example Response:
"Classification: Startup
Reason: This AI-powered platform demonstrates high innovation and scalability potential with its technology-driven solution targeting global markets."
"""


# ✅ دالة التحليل
def analyze_idea(user_input):
    try:
        full_prompt = f"{SYSTEM_PROMPT}\n\nUser's idea: {user_input}"
        output = generator(full_prompt)[0]['generated_text']
        return output.strip()
    except Exception as e:
        return f"❌ Error analyzing idea:\n{str(e)}"

# ✅ واجهة Gradio
iface = gr.Interface(
    fn=analyze_idea,
    inputs=gr.Textbox(lines=5, label="💡 Enter your business idea"),
    outputs=gr.Textbox(label="📊 Analysis & Classification"),
    title="🚀 Is Your Idea a Startup or Traditional?",
    description="Describe your business idea. This smart assistant will classify it and give you insights based on growth, innovation, tech-dependency, and more.",
    theme="default",  # بإمكانك تجربة "soft" أو "huggingface"
    allow_flagging="never"
)

iface.launch()