Create app.py

app.py

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+# Install required libraries
+!pip install gtts
+!pip install gradio
+!pip install transformers
+!pip install diffusers
+
+# Import libraries
+import gradio as gr
+from gtts import gTTS
+from io import BytesIO
+from PIL import Image
+from diffusers import DiffusionPipeline
+import openai
+
+# Set your OpenAI API key
+openai.api_key = "sk-pZv0gFbHlaKc5o3ejPgYT3BlbkFJ7DPw0d1FqJApeZTBjIqic"
+
+# Use a DiffusionPipeline for text-to-image
+image_generation_pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-video-diffusion-img2vid-xt")
+
+# Set the context for the storyteller
+messages = [{"role": "system", "content": "You are a magical storyteller, creating wonderful tales for kids. Make them imaginative and full of joy!"}]
+
+# Initialize page number
+current_page = 0
+
+# Define the Storyteller function
+def StorytellerGPT(character, child_name, lesson_choice, tell_story, _):
+    global current_page
+    
+    # Set the characters and lesson based on user choices
+    character_info = f"Once upon a time, {child_name} met {character}. "
+    lesson_info = f"Today's lesson is about {lesson_choice}. "
+    
+    messages.append({"role": "user", "content": tell_story})
+    
+    # Generate story using OpenAI's GPT model
+    input_text = character_info + lesson_info + tell_story
+    story_reply = openai.Completion.create(
+        engine="text-davinci-003",  # Adjust the engine based on your preferences
+        prompt=input_text,
+        max_tokens=150,
+        n=1,
+        stop=None
+    )["choices"][0]["text"]
+
+    messages.append({"role": "assistant", "content": story_reply})
+    
+    # Convert text to speech using Whisper API
+    # Replace "YOUR_WHISPER_API_KEY" with your actual Whisper API key
+    whisper_api_key = "sk-pZv0gFbHlaKc5o3ejPgYT3BlbkFJ7DPw0d1FqJApeZTBjIqic"
+    tts = gTTS(text=story_reply, lang='en', slow=False, whisper_api_key=whisper_api_key)
+    audio_io = BytesIO()
+    tts.save("/content/audio_output.mp3")
+
+    # Convert text to image using DiffusionPipeline
+    image_reply = image_generation_pipe(story_reply)
+    
+    # Display the story on separate pages
+    story_pages = story_reply.split("\n\n")  # Split the story into pages
+    current_page = min(current_page, len(story_pages) - 1)  # Ensure the current_page is within bounds
+    
+    return story_pages[current_page], "/content/audio_output.mp3", image_reply
+
+# Create the Gradio Interface with styling
+demo = gr.Interface(
+    fn=StorytellerGPT,
+    inputs=[
+        gr.Textbox("text", label="Child's Name"),
+        gr.Dropdown(["unicorn", "dragon", "wizard"], label="Choose a Character"),
+        gr.Dropdown(["kindness", "creativity", "bravery"], label="Choose a Lesson"),
+        gr.Textbox("text", label="Start the Story with"),
+        gr.Button("Next Page"),
+    ],
+    outputs=["text", "audio", "image"],
+    title="📖 Storytelling Magic",
+    description="A magical storyteller app for kids! Choose characters, add your name, and select the lesson you want to learn.",
+    live=True,  # Enable live updates for CSS changes
+    css=f"""body {{
+        background-image: url('https://www.bing.com/images/create/a-castle-ai-metaverse-style/1-657576205c7146f2b7f2f8d1c552810f?id=dZs6kpD2HfmH4eojx%2bHjdA%3d%3d&view=detailv2&idpp=genimg&FORM=GCRIDP&mode=overlay');
+        background-size: cover;
+        background-position: center;
+        font-family: 'Comic Sans MS', cursive, sans-serif; /* Optional: Change the font */
+    }}""",
+)
+
+# Launch the Gradio Interface
+demo.launch()