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README.md

@@ -1,35 +1,35 @@
----
-title: AI Classics Query Tool
-emoji: 🏛️
-colorFrom: indigo
-colorTo: blue
-sdk: gradio
-sdk_version: 4.31.4
-app_file: main.py
-pinned: false
----
-
-
-# Classical Language Query Assistant
-
-This app uses modern AI models to answer grammatical and syntactic questions about Latin and Greek passages. It's designed for use in research and pedagogy, especially in classical language instruction.
-
-## Features
-- Supports Syntax and Morphology question sets
-- Pulls questions live from shared Google Docs
-- Uses Claude 3, GPT-3.5, and other fallback models via OpenRouter
-- Automatically attributes which model answered each question
-
-## How to Run
-1. Clone or download this repo  
-2. Install dependencies and launch the app:
-
-   ```bash
-   pip install -r requirements.txt
-   python main.py
-   ```
-
-The app will open automatically in your browser with a public Gradio link.
-
-## Configuration
-API keys, model priorities, and document URLs can be adjusted in `config.py`.
+---
+title: AI Classics Query Tool
+emoji: 🏛️
+colorFrom: indigo
+colorTo: blue
+sdk: gradio
+sdk_version: 4.31.4
+app_file: main.py
+pinned: false
+---
+
+
+# Classical Language Query Assistant
+
+This app uses modern AI models to answer grammatical and syntactic questions about Latin and Greek passages. It's designed for use in research and pedagogy, especially in classical language instruction.
+
+## Features
+- Supports Syntax and Morphology question sets
+- Pulls questions live from shared Google Docs
+- Uses Claude 3, GPT-3.5, and other fallback models via OpenRouter
+- Automatically attributes which model answered each question
+
+## How to Run
+1. Clone or download this repo  
+2. Install dependencies and launch the app:
+
+   ```bash
+   pip install -r requirements.txt
+   python main.py
+   ```
+
+The app will open automatically in your browser with a public Gradio link.
+
+## Configuration
+API keys, model priorities, and document URLs can be adjusted in `config.py`.

main.py

@@ -1,69 +1,67 @@
-# main.py
-import gradio as gr
-from gradio.themes import Soft
-import spaces
-
-from question_runner import run_tool
-from config import MODEL_PRIORITY, SYNTAX_DOC_URL, MORPHOLOGY_DOC_URL
-from doc_utils import get_questions_from_doc
-
-# --- ZERO-GPU ENTRYPOINT (must be top-level and referenced by Gradio) ---
-@spaces.GPU
-def run_query(passage: str, doc_type: str):
-    # Delegate to your existing business logic
-    return run_tool(passage, doc_type)
-
-# Estimate runtime based on # of questions
-def estimate_runtime(passage, doc_type):
-    if not passage or not doc_type:
-        return ""
-    doc_url = SYNTAX_DOC_URL if doc_type.lower() == "syntax" else MORPHOLOGY_DOC_URL
-    questions = get_questions_from_doc(doc_url)
-    if not questions or (isinstance(questions, list) and questions and str(questions[0]).startswith("Error")):
-        return "Unable to load questions."
-    est_seconds = round(len(questions) * 2.5, 1)
-    return f"Estimated generation time: ~{est_seconds} seconds"
-
-def build_app():
-    with gr.Blocks(theme=Soft()) as demo:
-        gr.Markdown("""
-        ## **Classical Language Query Assistant**
-        Submit a Latin or Greek passage and select the question type.
-        Answers are generated using a rotating chain of hosted AI models via OpenRouter.
-        """)
-
-        with gr.Row():
-            passage_input = gr.Textbox(label="Latin or Greek Passage", lines=4)
-            question_type = gr.Radio(["Syntax", "Morphology"], label="Question Type")
-
-        top_model = MODEL_PRIORITY[0]
-        full_model_list = "\n".join(f"- `{m}`" for m in MODEL_PRIORITY)
-        gr.Markdown(f"""
-**Currently prioritized model:** `{top_model}`  
-**Model fallback chain (if needed):**  
-{full_model_list}
-""")
-
-        with gr.Row():
-            output_text = gr.Textbox(label="Generated Answers", lines=25, interactive=False)
-            output_file = gr.File(label="Download Answers (.txt)", interactive=False)
-
-        estimated_time_box = gr.Textbox(label="Estimated Time", interactive=False)
-
-        passage_input.change(fn=estimate_runtime, inputs=[passage_input, question_type], outputs=estimated_time_box)
-        question_type.change(fn=estimate_runtime, inputs=[passage_input, question_type], outputs=estimated_time_box)
-
-        submit_button = gr.Button("Generate Answers")
-
-        # IMPORTANT: point Gradio at the decorated function
-        submit_button.click(
-            fn=run_query,
-            inputs=[passage_input, question_type],
-            outputs=[output_text, output_file, estimated_time_box],
-        )
-    return demo
-
-if __name__ == "__main__":
-    # On Spaces: no share=True, no webbrowser.open, no infinite loop
-    app = build_app()
-    app.launch()
+# main.py
+import gradio as gr
+from gradio.themes import Soft
+
+from question_runner import run_tool
+from config import MODEL_PRIORITY, SYNTAX_DOC_URL, MORPHOLOGY_DOC_URL
+from doc_utils import get_questions_from_doc
+
+# --- ZERO-GPU ENTRYPOINT (must be top-level and referenced by Gradio) ---
+def run_query(passage: str, doc_type: str):
+    # Delegate to your existing business logic
+    return run_tool(passage, doc_type)
+
+# Estimate runtime based on # of questions
+def estimate_runtime(passage, doc_type):
+    if not passage or not doc_type:
+        return ""
+    doc_url = SYNTAX_DOC_URL if doc_type.lower() == "syntax" else MORPHOLOGY_DOC_URL
+    questions = get_questions_from_doc(doc_url)
+    if not questions or (isinstance(questions, list) and questions and str(questions[0]).startswith("Error")):
+        return "Unable to load questions."
+    est_seconds = round(len(questions) * 2.5, 1)
+    return f"Estimated generation time: ~{est_seconds} seconds"
+
+def build_app():
+    with gr.Blocks(theme=Soft()) as demo:
+        gr.Markdown("""
+        ## **Classical Language Query Assistant**
+        Submit a Latin or Greek passage and select the question type.
+        Answers are generated using a rotating chain of hosted AI models via OpenRouter.
+        """)
+
+        with gr.Row():
+            passage_input = gr.Textbox(label="Latin or Greek Passage", lines=4)
+            question_type = gr.Radio(["Syntax", "Morphology"], label="Question Type")
+
+        top_model = MODEL_PRIORITY[0]
+        full_model_list = "\n".join(f"- `{m}`" for m in MODEL_PRIORITY)
+        gr.Markdown(f"""
+**Currently prioritized model:** `{top_model}`  
+**Model fallback chain (if needed):**  
+{full_model_list}
+""")
+
+        with gr.Row():
+            output_text = gr.Textbox(label="Generated Answers", lines=25, interactive=False)
+            output_file = gr.File(label="Download Answers (.txt)", interactive=False)
+
+        estimated_time_box = gr.Textbox(label="Estimated Time", interactive=False)
+
+        passage_input.change(fn=estimate_runtime, inputs=[passage_input, question_type], outputs=estimated_time_box)
+        question_type.change(fn=estimate_runtime, inputs=[passage_input, question_type], outputs=estimated_time_box)
+
+        submit_button = gr.Button("Generate Answers")
+
+        # IMPORTANT: point Gradio at the decorated function
+        submit_button.click(
+            fn=run_query,
+            inputs=[passage_input, question_type],
+            outputs=[output_text, output_file, estimated_time_box],
+        )
+    return demo
+
+if __name__ == "__main__":
+    # On Spaces: no share=True, no webbrowser.open, no infinite loop
+    app = build_app()
+    app.launch()

question_runner.py

@@ -4,7 +4,10 @@ import tempfile
 from router_client import query_model
 from doc_utils import get_questions_from_doc
 from config import SYNTAX_DOC_URL, MORPHOLOGY_DOC_URL
+import spaces
 
+# Apply decorator to the function that does the actual inference
+@spaces.GPU(duration=120)  # Adjust duration based on your needs (in seconds)
 def run_tool(passage, doc_type):
     if not passage.strip():
         return "Please enter a passage to analyze.", None, None

requirements.txt

@@ -1,5 +1,5 @@
-gradio>=4.44.1
-spaces
-requests>=2.31.0
---extra-index-url https://download.pytorch.org/whl/cu113
+gradio>=4.44.1
+spaces
+requests>=2.31.0
+--extra-index-url https://download.pytorch.org/whl/cu113
 torch