Update app.py

app.py

@@ -1,51 +1,52 @@
-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.")
-
-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()
+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()