create app.py

app.py

@@ -0,0 +1,53 @@
+import streamlit as st
+from transformers import pipeline
+from responsivevoice import ResponsiveVoice
+import random
+
+# Pre-trained text-to-speech model
+tts_model = ResponsiveVoice()
+
+# Choose a pre-trained language model for story generation
+model_name = "gpt2"
+
+# Initialize pipeline for text generation
+generator = pipeline("text-generation", model=model_name)
+
+# Define supported languages
+languages = ["en", "fr", "es", "de", "it"]
+
+def translate_text(text, target_language):
+    translator = Translator()
+    translated_text = translator.translate(text, dest=target_language).text
+    return translated_text
+
+def generate_and_narrate_story(prompt, language):
+    # Generate story based on prompt
+    story = generator(prompt, max_length=1024)[0]["generated_text"]
+
+    # Translate story to chosen language
+    if language != "en":
+        translated_story = translate_text(story, language)
+    else:
+        translated_story = story
+
+    # Speak the story using the text-to-speech model
+    tts_model.speak(translated_story, language)
+
+# Streamlit app initialization
+st.title("AI Storytelling App")
+
+# Prompt input
+prompt = st.text_input("Start your story with...")
+
+# Language selector
+language = st.selectbox("Choose narration language:", languages)
+
+# Generate story button
+if st.button("Generate and Narrate Story"):
+    with st.spinner("Generating and narrating your story..."):
+        generate_and_narrate_story(prompt, language)
+
+# Disclaimer
+st.write("* This app is still under development and may not always generate accurate or coherent results.")
+st.write("* Please be mindful of the content generated by the AI model.")
+