app.py

import streamlit as st
from transformers import pipeline
from gtts import gTTS
import os

# Load a text generation pipeline
generator = pipeline('text-generation', model='gpt2')

# Streamlit app
st.title("Phone-Guy-Generator")
st.subheader("Generate Custom FNaF Phone Calls")

# User inputs
night = st.selectbox("Select the Night", ["1", "2", "3", "4", "5", "6", "7"])
tone = st.selectbox("Select the Tone of the Call", ["Friendly", "Warning", "Ominous", "Neutral"])
length = st.slider("Select the Length of the Call (in words)", 50, 150, 100)
include_phrase = st.text_input("Include a Specific Phrase (Optional)")

# Generate phone call
if st.button("Generate Phone Call"):
    # Construct a more detailed prompt
    prompt = f"You are the Phone Guy from Five Nights at Freddy's. Your job is to give a phone call to the night guard on night {night}. The tone should be {tone.lower()}."
    if include_phrase:
        prompt += f" Include the following phrase in the call: '{include_phrase}'."
    prompt += " Keep the call focused on advice for the night guard to survive the night, including any warnings about the animatronics. Make sure the content is spooky and coherent."

    # Generate the text
    result = generator(prompt, max_length=length, num_return_sequences=1)
    generated_text = result[0]['generated_text']

    # Post-processing: Remove unwanted parts
    unwanted_phrases = ["Make sure", "please let", "If you have any questions", "To use a phone call"]
    for phrase in unwanted_phrases:
        if phrase in generated_text:
            generated_text = generated_text.split(phrase)[0].strip()

    # Display the generated phone call
    st.text(generated_text)
    
    # Convert the generated text to speech
    tts = gTTS(generated_text, lang='en')
    tts.save("phone_call.mp3")

    # Provide a download link for the generated speech
    audio_file = open("phone_call.mp3", "rb")
    st.audio(audio_file.read(), format='audio/mp3')
    audio_file.close()

    # Optionally, remove the file after use
    os.remove("phone_call.mp3")