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| import os | |
| import gradio as gr | |
| import requests | |
| # Retrieve the API token from environment variables | |
| api_token = os.getenv("API_TOKEN") | |
| if not api_token: | |
| raise ValueError("API token not found. Please set the API_TOKEN environment variable.") | |
| # Hugging Face Inference API Details | |
| API_URL = "https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-1B-Instruct" | |
| HEADERS = {"Authorization": f"Bearer {api_token}"} | |
| def generate_exegesis(passage): | |
| if not passage.strip(): | |
| return "Please enter a Bible passage." | |
| prompt = f"You are a professional Bible Scholar, Provide a detailed exegesis of the following biblical verse, including: The original Greek text and transliteration with Word-by-word analysis with meanings. Historical and cultural context. Theological significance. for:\n\n{passage}\n\nExegesis:" | |
| payload = { | |
| "inputs": prompt, | |
| "parameters": { | |
| "max_length": 250, | |
| "temperature": 0.7, | |
| "do_sample": True | |
| } | |
| } | |
| try: | |
| response = requests.post(API_URL, headers=HEADERS, json=payload) | |
| response.raise_for_status() # Raise an error for bad responses (4xx, 5xx) | |
| result = response.json() | |
| if isinstance(result, list) and len(result) > 0: | |
| return result[0].get("generated_text", "Error: No response from model.") | |
| else: | |
| return "Error: Unexpected response format." | |
| except requests.exceptions.RequestException as e: | |
| return f"API Error: {e}" | |
| # Gradio interface | |
| demo = gr.Interface( | |
| fn=generate_exegesis, | |
| inputs=gr.Textbox(label="Enter Bible Passage", placeholder="e.g., John 3:16"), | |
| outputs=gr.Textbox(label="Exegesis Commentary"), | |
| title="JR Study Bible", | |
| description="Enter a Bible passage to receive insightful exegesis commentary using the Hugging Face API." | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |