app.py

import gradio as gr
from transformers import pipeline

# Load the pre-trained model for generating formulas
model_name = "gpt2"  # Or you can choose a better model like a physics-specific fine-tuned model if available
generator = pipeline("text-generation", model=model_name)

# Function to generate mathematical formulas based on physics topic
def generate_formulas(physics_topic):
    prompt = f"List the important mathematical formulas related to {physics_topic} in physics."
    
    # Generate the formulas using the model
    formulas = generator(prompt, max_length=200, num_return_sequences=1)
    
    return formulas[0]["generated_text"]

# Create Gradio interface
interface = gr.Interface(
    fn=generate_formulas,
    inputs=gr.Textbox(label="Enter a Physics Topic", placeholder="e.g. Newton's Laws, Thermodynamics, etc."),
    outputs="text",
    title="Physics Formula Generator",
    description="Enter a physics-related topic, and the tool will generate important mathematical formulas related to that topic."
)

# Launch the Gradio app
interface.launch(share=True)