import streamlit as st
from typing import List, Tuple
from transformers import pipeline

# Constants
WIDTH, HEIGHT = 600, 600
ELASTICITY = 0.3
DAMPING = 0.7

# Create touch points
num_points = 20
touch_points: List[Tuple[float, float]] = [(x, y) for x in range(50, WIDTH-50, int((WIDTH-100)/(num_points-1))) for y in range(50, HEIGHT-50, int((HEIGHT-100)/(num_points-1)))]
original_points = touch_points.copy()
velocities: List[Tuple[float, float]] = [(0.0, 0.0)] * len(touch_points)
is_affected: List[bool] = [False] * len(touch_points)

# Set up the Hugging Face pipeline
text_generator = pipeline('text-generation', model='gpt2')

# Streamlit app
st.title("Artificial Touch Simulation")

# Create a Streamlit container for the touch simulation
touch_container = st.container()

def update_points():
    global touch_points, velocities, is_affected
    
    # Apply spring force
    for i, (x, y) in enumerate(touch_points):
        force_x = (original_points[i][0] - x) * ELASTICITY
        force_y = (original_points[i][1] - y) * ELASTICITY
        velocities[i] = (velocities[i][0] + force_x, velocities[i][1] + force_y)
    
    # Apply damping
    for i, (vx, vy) in enumerate(velocities):
        velocities[i] = (vx * DAMPING, vy * DAMPING)
    
    # Update position
    for i, (x, y) in enumerate(touch_points):
        vx, vy = velocities[i]
        touch_points[i] = (x + vx, y + vy)
    
    # Reset affected flags
    is_affected = [False] * len(touch_points)

def on_tap(x, y):
    global touch_points, velocities, is_affected
    
    for i, (tx, ty) in enumerate(touch_points):
        distance = ((tx - x)**2 + (ty - y)**2)**0.5
        if distance < 30:
            force_x = (tx - x) / distance
            force_y = (ty - y) / distance
            velocities[i] = (velocities[i][0] - force_x * 10, velocities[i][1] - force_y * 10)
            is_affected[i] = True
    
    # Generate a description of the touch
    with touch_container:
        st.write(f"Touch at ({x:.2f}, {y:.2f})")
        text = text_generator(f"The user touched the screen at ({x:.2f}, {y:.2f}).", max_length=100, num_return_sequences=1, do_sample=True, top_k=50, top_p=0.95, num_beams=1)[0]['generated_text']
        st.write(text)
    
    update_points()

while True:
    with touch_container:
        for i, (x, y) in enumerate(touch_points):
            if is_affected[i]:
                st.circle((x, y), 5, color="red", fill_opacity=0.5)
            else:
                st.circle((x, y), 5, color="navy", fill_opacity=0.5)
        
        if st.button("Tap the screen"):
            on_tap(st.session_state.get('x', 0), st.session_state.get('y', 0))
        
        st.experimental_set_query_params(x=touch_points[0][0], y=touch_points[0][1])
        st.session_state['x'] = st.experimental_get_query_params().get('x', [0])[0]
        st.session_state['y'] = st.experimental_get_query_params().get('y', [0])[0]
        
    update_points()
    st.experimental_rerun()