Update app.py

app.py

@@ -1,67 +1,43 @@
-import gradio as gr
 import openai
-import requests
-from PIL import Image
-from io import BytesIO
+import gradio as gr
+
+# Initialize OpenAI API
+openai.api_key = "YOUR_OPENAI_API_KEY"
 
-def infer_character_and_action(api_key, paragraph):
-    openai.api_key = api_key
+def ask_god(question):
+    # Detailed prompt for God to give humorous or sarcastic replies based on various theologies
+    prompt = f"Dear God, often portrayed across various theologies and religions with a sense of humor and sarcasm: {question}"
+    
+    # Use GPT-3.5 Turbo to get the response
     response = openai.Completion.create(
-        model="gpt-3.5-turbo",
-        prompt=f"From the story paragraph: \"{paragraph}\", extract the main character type and the action they are performing.",
-        max_tokens=50
+        engine="gpt-3.5-turbo",
+        prompt=prompt,
+        max_tokens=100
     )
-    extracted_info = response.choices[0].text.strip()
-    character_type, action = extracted_info.split(" and ")
-    return character_type, action
+    
+    # Extract the response text and return
+    answer = response.choices[0].text.strip()
+    return answer
 
-def create_dalle_prompt(character_type, action):
-    return f"1800s field-journal style line drawing of {character_type} {action}, very detailed"
+# Gradio Interface
+def gradio_interface():
+    # Define input and output components for Gradio
+    input_component = gr.inputs.Textbox(lines=5, placeholder="Enter your question to God...")
+    output_component = gr.outputs.Textbox(label="God's Reply")
 
-def generate_story_and_images(name, story_title, story_type, api_key):
-    openai.api_key = api_key
-    if story_type == "for children":
-        prompt_content = f"In a mystical kingdom, a brave adventurer named {name} discovers a magical object. Narrate their whimsical and heartwarming tale based on the title: '{story_title}'."
-    else:
-        prompt_content = f"In an odd city, {name} stumbles upon a series of bizarre events linked to the title '{story_title}'. Describe their hilariously absurd adventure."
-    
-    messages = [
-        {"role": "system", "content": "You are a magical storyteller."},
-        {"role": "user", "content": prompt_content}
-    ]
-    
-    response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=messages
+    # Create the Gradio interface
+    iface = gr.Interface(
+        fn=ask_god,
+        inputs=input_component,
+        outputs=output_component,
+        live=True,
+        title="Ask God",
+        description="Get humorous or sarcastic replies from God based on various theologies. Powered by GPT-3.5 Turbo.",
+        theme="huggingface"
     )
-    
-    story = response.choices[0].message['content']
-    
-    # Split story into four paragraphs
-    paragraphs = story.split('\n')[:4]
-    
-    # Extract character type and action from each paragraph and create DALLE prompts
-    dalle_prompts = []
-    for para in paragraphs:
-        character_type, action = infer_character_and_action(api_key, para)
-        dalle_prompt = create_dalle_prompt(character_type, action)
-        dalle_prompts.append(dalle_prompt)
-    
-    return story, dalle_prompts
 
-iface = gr.Interface(
-    fn=generate_story_and_images,
-    inputs=[
-        gr.components.Textbox(label="Enter name (Example: Ella)"),
-        gr.components.Textbox(label="Enter story title (Example: The Enchanted Locket)"),
-        gr.components.Radio(["for children", "absurd and humorous"], label="Story Type"),
-        gr.components.Textbox(label="OpenAI API Key", type="password")
-    ],
-    outputs=[
-        "text",
-        "text"
-    ],
-    live=True
-)
+    # Launch the Gradio interface (for Hugging Face Spaces, use `share=True`)
+    iface.launch(share=True)
 
-iface.launch()
+if __name__ == "__main__":
+    gradio_interface()