app.py

from transformers import pipeline

# Define the prompt for self-assessment
prompt = "Please answer the following questions to assess your ADHD symptoms:\n"

# Define the questions for self-assessment
questions = [
    "Do you often struggle with paying attention to details or making careless mistakes in your work or daily activities?",
    "Do you find it difficult to sustain focus on tasks or activities, especially if they are not highly stimulating or interesting to you?",
    "Are you frequently forgetful in your daily life, such as forgetting appointments, deadlines, or where you put your belongings?",
    "Do you often have trouble organizing tasks and activities, such as prioritizing tasks or managing your time effectively?",
    "Do you frequently feel restless or have difficulty staying seated in situations where it is expected, such as in meetings or during conversations?",
    "Are you easily distracted by external stimuli or unrelated thoughts during conversations, work, or leisure activities?",
    "Do you often struggle with following through on instructions or completing tasks, even when they are important or meaningful to you?",
    "Do you frequently lose or misplace important items, such as keys, wallets, or phones?",
    "Do you find it challenging to engage in activities that require sustained mental effort or attention, such as reading or studying?",
    "Do you often feel overwhelmed or have difficulty managing multiple tasks or responsibilities at the same time?"
]

# Initialize the Hugging Face pipeline for text generation
generator = pipeline("text-generation", model="EleutherAI/gpt-neo-1.3B")

# Generate the self-assessment
assessment = generator(prompt + "\n".join(questions), max_length=500, num_return_sequences=1, do_sample=True)[0]['generated_text']

# Print the self-assessment
print(assessment)