Delet app.py

app.py

@@ -1,50 +0,0 @@
-import gradio as gr
-import openai
-import whisper
-from PIL import Image
-from diffusers import StableDiffusionPipeline
-
-# Set your OpenAI API key
-openai.api_key = ""
-
-# Initialize text generation and image generation pipelines
-text_generation_pipe = openai.Completion.create
-image_generation_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4")
-
-# Initialize Whisper API key for text-to-speech
-whisper_api_key = ""
-
-# Define function for generating stories and illustrations
-def generate_story_and_illustration(prompt, character_name):
-    # Generate story
-    story_text = text_generation_pipe(engine="text-davinci-003", prompt=f"Once upon a time, {character_name}... {prompt}", max_tokens=150)["choices"][0]["text"]
-
-    # Generate image based on story
-    image = image_generation_pipe(story_text)
-
-    # Convert story text to speech using Whisper API
-    tts_result = whisper.transcribe(audio="content.flac", language="en", api_key=whisper_api_key)
-    audio_data = tts_result["segments"][0]["alternatives"][0]["text"]
-
-    # Return story text, audio data, and image
-    return story_text, audio_data, image.images[0]
-
-# Create Gradio interface
-interface = gr.Interface(
-    fn=generate_story_and_illustration,
-    inputs=[
-        gr.Textbox(label="Start your story with..."),
-        gr.Textbox(label="Give your character a name:"),
-    ],
-    outputs=[
-        gr.Textbox(label="Story"),
-        gr.Audio(label="Listen to the story"),
-        gr.Image(label="See the story come alive"),
-    ],
-    title="Storyteller Playground",
-    description="Create amazing stories with the help of AI!",
-    theme="kids",
-)
-
-# Launch the app on Hugging Face Spaces
-interface.launch()