Create App.py

App.py

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+import json
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# Initialize the client using the specified model.
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+def respond(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p):
+    """
+    Builds a conversation history that includes a system instruction for Bible analysis.
+    
+    The system message instructs the model to act as JR‑Sacred Syntax, an expert biblical scholar
+    specializing in analyzing Bible verses to detect figures of speech (e.g., Metaphor, Synecdoche, Hyperbole, etc.)
+    and output a JSON array with each entry containing:
+      - "figure": the type of figure of speech,
+      - "phrase": the phrase in the verse,
+      - "explanation": explanation in biblical context.
+    """
+    # Build the message list starting with the system message.
+    messages = [{"role": "system", "content": system_message}]
+    
+    # Append previous conversation history.
+    for user_msg, assistant_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if assistant_msg:
+            messages.append({"role": "assistant", "content": assistant_msg})
+    
+    # Append the new user message.
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+    # Stream the chat completion response.
+    for chat_message in client.chat_completion(
+        messages,
+        max_tokens=max_tokens,
+        stream=True,
+        temperature=temperature,
+        top_p=top_p,
+    ):
+        token = chat_message.choices[0].delta.content
+        response += token
+        yield response
+
+# Define a default system message that guides the model for Bible figure-of-speech analysis.
+default_system_message = (
+    "You are JR-Sacred Syntax, an expert biblical scholar. "
+    "When given a Bible verse, analyze it to detect any figures of speech (such as Metaphor, "
+    "Synecdoche, Hyperbole, Simile, or Paradox) and return a JSON array where each entry includes "
+    "'figure' (the type), 'phrase' (the exact words from the verse), and 'explanation' (why it qualifies as such) "
+    "in a biblical context. Respond only in JSON format."
+)
+
+# Create the Gradio Chat Interface.
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value=default_system_message, label="System Message (Instruction)"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max New Tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (Nucleus Sampling)"),
+    ],
+    title="JR‑Sacred Syntax: Bible Figures of Speech Detector",
+    description=(
+        "Enter a Bible verse to have it analyzed for figures of speech. "
+        "JR‑Sacred Syntax will detect and explain literary devices in the verse, "
+        "returning the results in a structured JSON format."
+    )
+)
+
+if __name__ == "__main__":
+    demo.launch()