app.py

import os
import gradio as gr
import requests
import json
import logging
import random
import time
from datetime import datetime

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# API configuration
API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"
HEADERS = {"Authorization": f"Bearer {os.getenv('HUGGINGFACEHUB_API_TOKEN')}"}

def get_timestamp():
    """Generate a timestamp for making responses unique"""
    return int(time.time() * 1000)

def query(payload):
    """Make API request with retry logic"""
    max_retries = 3
    for attempt in range(max_retries):
        try:
            response = requests.post(API_URL, headers=HEADERS, json=payload)
            response.raise_for_status()
            return response.json()
        except requests.exceptions.RequestException as e:
            if attempt == max_retries - 1:
                logger.error(f"API request failed after {max_retries} attempts: {e}")
                raise
            time.sleep(1)

def get_dynamic_prompt(base_prompt, input_text):
    """Generate dynamic prompts with variations"""
    styles = [
        "analytical and scholarly",
        "practical and applicable",
        "historical and contextual",
        "theological and doctrinal"
    ]
    perspectives = [
        "modern interpretation",
        "historical context",
        "cross-cultural significance",
        "contemporary relevance"
    ]
    return f"{base_prompt} Consider this from a {random.choice(styles)} approach, focusing on {random.choice(perspectives)}: {input_text}"

def generate_exegesis(passage):
    if not passage.strip():
        return "Please enter a Bible passage."
    
    prompt = get_dynamic_prompt(
        "<s>[INST] As a Bible Scholar, provide an exegesis with original language analysis and cultural context for:",
        passage
    )
    try:
        response = query({"inputs": f"{prompt} [timestamp: {get_timestamp()}]"})
        if isinstance(response, list) and response:
            return response[0]["generated_text"].split("[/INST]")[-1].strip()
        return "Error: Invalid response from model."
    except Exception as e:
        logger.error(f"Exegesis Error: {e}")
        return f"Generation failed. Please try again."

# Similar modifications for other functions...
def ask_any_questions(question):
    if not question.strip():
        return "Please enter a question."
    
    prompt = get_dynamic_prompt(
        "<s>[INST] As a Bible Scholar, provide a comprehensive answer with scriptural references for:",
        question
    )
    try:
        response = query({"inputs": f"{prompt} [timestamp: {get_timestamp()}]"})
        if isinstance(response, list) and response:
            return response[0]["generated_text"].split("[/INST]")[-1].strip()
        return "Error: Invalid response from model."
    except Exception as e:
        logger.error(f"Question Error: {e}")
        return f"Generation failed. Please try again."

# Updated interface with better styling
css = """
.gradio-container {
    font-family: 'Arial', sans-serif;
}
.gr-button {
    background-color: #2e5090 !important;
}
"""

# Gradio interface definitions with improved styling
exegesis_demo = gr.Interface(
    fn=generate_exegesis,
    inputs=gr.Textbox(
        label="Enter Bible Passage",
        placeholder="e.g., John 3:16",
        lines=2
    ),
    outputs=gr.Textbox(label="Exegesis Commentary", lines=10),
    title="JR Study Bible",
    description="Enter a Bible passage to receive insightful exegesis commentary",
    css=css
)

# ... rest of your Gradio interface code ...

# Launch with sharing enabled for Hugging Face Spaces
if __name__ == "__main__":
    bible_app.launch(share=True)