Delete app.py

app.py

@@ -1,72 +0,0 @@
-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()