Update app.py

app.py

@@ -1,18 +1,74 @@
-import gradio as gr
-import random
-import time
+import streamlit as st
+from transformers import pipeline
+from responsivevoice import ResponsiveVoice
+from PIL import Image
+from diffusers import StableDiffusionPipeline
 
-with gr.Blocks() as demo:
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox()
-    clear = gr.ClearButton([msg, chatbot])
+# Text-to-speech model
+tts_model = ResponsiveVoice()
 
-    def respond(message, chat_history):
-        bot_message = random.choice(["How are you?", "I love you", "I'm very hungry"])
-        chat_history.append((message, bot_message))
-        time.sleep(2)
-        return "", chat_history
+# Text-to-image pipeline
+sd_pipeline = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4")
 
-    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+# Story generation model
+generator = pipeline("text-generation", model="gpt2")
 
-demo.launch()
+def generate_story(prompt):
+  """
+  Generates a story based on user input.
+
+  Args:
+      prompt: A string containing the starting prompt for the story.
+
+  Returns:
+      A string containing the generated story.
+  """
+  story = generator(prompt, max_length=1024)[0]["generated_text"]
+  return story
+
+def generate_image(prompt):
+  """
+  Generates an image based on user input.
+
+  Args:
+      prompt: A string containing the description for the image.
+
+  Returns:
+      A PIL Image object.
+  """
+  image = sd_pipeline(prompt).images[0]
+  return image
+
+# Streamlit app
+st.title("Hugging Face Storytelling App")
+
+# Prompt input
+prompt = st.text_input("Start your story with...")
+
+# Text-to-speech button
+if st.button("Speak the Story"):
+  with st.spinner("Speaking the story..."):
+    tts_model.speak(generate_story(prompt))
+
+# Text-to-text button
+if st.button("Generate Text from Prompt"):
+  with st.spinner("Generating text..."):
+    new_text = generate_story(prompt)
+    st.write(new_text)
+
+# Text-to-image button
+if st.button("Generate Image from Prompt"):
+  with st.spinner("Generating image..."):
+    image = generate_image(prompt)
+    st.image(image)
+
+# Questions to answer
+st.write("**Think about your story and answer these questions:**")
+st.text_input("What is the main character's name?")
+st.text_input("Where does the story take place?")
+st.text_input("What is the problem the character faces?")
+st.text_input("How does the character solve the problem?")
+
+# 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 models.")