app.py

import streamlit as st
from transformers import pipeline

# Initialize the text generation pipeline
generator = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")

print("Pipeline initialized.")

# Streamlit interface
st.title("Manual Test Case Generator")
topic = st.text_input("Enter a topic or subject:")
num_cases = st.number_input("Number of test cases:", min_value=1, max_value=10, value=1)

if st.button("Generate Test Cases"):
    if topic:
        prompt = f"Generate {num_cases} manual test cases for the topic: {topic}"
        print(f"Prompt - {prompt}")
        test_cases = generator(prompt, max_length=150, do_sample=True, num_return_sequences=num_cases)
        for i, case in enumerate(test_cases):
            st.write(f"Test Case {i+1}:")
            st.write(case["generated_text"])
    else:
        st.error("Please enter a topic/subject.")