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Update App.py
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App.py
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import
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import gradio as gr
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#
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- Identify any figure of speech in the verse (e.g., Metaphor, Hyperbole, Synecdoche, Paradox, Simile).
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- Extract the phrase demonstrating the figure of speech.
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- Explain why it's a figure of speech in biblical context.
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Expected Output:
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A structured JSON array with:
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- "figure": Type of figure of speech.
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- "phrase": The phrase in the verse.
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- "explanation": Explanation in biblical context.
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"""
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if not verse.strip():
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return "Please enter a Bible verse."
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prompt
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try:
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outputs=gr.Textbox(label="Figures of Speech Analysis (JSON)"),
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title="Bible Figures of Speech Detector",
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description="Enter a Bible verse to analyze
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)
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if __name__ == "__main__":
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import os
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import gradio as gr
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import requests
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import json
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# Retrieve the API token from secrets
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api_token = os.getenv("API_TOKEN")
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if not api_token:
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raise ValueError("API token not found. Make sure 'API_TOKEN' is set in the Secrets.")
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# Use the token in your request headers
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API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"
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HEADERS = {"Authorization": f"Bearer {api_token}"}
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def analyze_figure_of_speech(verse):
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if not verse.strip():
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return "Please enter a Bible verse."
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# Construct a prompt to instruct the model to analyze figures of speech in the verse.
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prompt = f"""<s>[INST] You are JR-Sacred Syntax, an expert biblical scholar specializing in the analysis of Bible verses.
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Analyze the following Bible verse to identify any figures of speech (e.g., Metaphor, Synecdoche, Hyperbole, Simile, Paradox).
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Return your answer as a JSON array where each element contains:
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- "figure": the type of figure of speech,
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- "phrase": the exact phrase in the verse,
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- "explanation": a brief explanation of why it qualifies as that figure in a biblical context.
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Bible Verse: "{verse}"
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[/INST] Figures:</s>"""
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payload = {
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"inputs": prompt,
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}
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try:
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response = requests.post(API_URL, headers=HEADERS, json=payload)
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response.raise_for_status()
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result = response.json()
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if isinstance(result, list) and len(result) > 0:
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generated_text = result[0].get("generated_text", "")
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marker = "Figures:" # Marker to help extract the output
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if marker in generated_text:
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generated_text = generated_text.split(marker, 1)[1].strip()
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try:
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output_json = json.loads(generated_text)
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return json.dumps(output_json, indent=2)
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except json.JSONDecodeError:
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return generated_text
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else:
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return "Error: Unexpected response format."
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except requests.exceptions.RequestException as e:
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return f"API Error: {e}"
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demo = gr.Interface(
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fn=analyze_figure_of_speech,
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inputs=gr.Textbox(
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label="Enter Bible Verse",
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placeholder="e.g., 'I am the vine, you are the branches' - John 15:5",
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lines=3
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),
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outputs=gr.Textbox(label="Figures of Speech Analysis (JSON)"),
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title="JR-Sacred Syntax: Bible Figures of Speech Detector",
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description="Enter a Bible verse to detect and analyze figures of speech with detailed biblical explanations."
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)
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if __name__ == "__main__":
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demo.launch()
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