Delete gradio_app.py

gradio_app.py

@@ -1,88 +0,0 @@
-import gradio as gr
-import requests
-import uuid
-import os
-from dotenv import load_dotenv
-
-# Load environment variables
-load_dotenv()
-
-# Define API endpoints - use localhost port for the FastAPI backend
-# In production, they're both on the same host, just different ports
-API_BASE_URL = "http://localhost:8000" if os.getenv("SPACE_ID") else "http://localhost:8000"
-
-def chat_with_api(message, state=None):
-    """Send user message to the API and get a response"""
-    if state is None:
-        # Initialize new conversation with a unique session ID
-        session_id = str(uuid.uuid4())
-        state = {"session_id": session_id, "history": []}
-    else:
-        session_id = state["session_id"]
-    
-    # Call the API
-    response = requests.post(
-        f"{API_BASE_URL}/chat",
-        json={"message": message, "session_id": session_id}
-    )
-    
-    if response.status_code != 200:
-        return f"Error: {response.status_code}", state
-    
-    data = response.json()
-    api_response = data["response"]
-    
-    # Update conversation history
-    state["history"].append((message, api_response))
-    
-    # If the conversation is complete, display the final parameters
-    if data["session_state"]["completed"]:
-        params = data["session_state"]["params"]
-        param_text = "\n\n**Test Parameters:**\n"
-        for k, v in params.items():
-            param_text += f"- **{k.replace('_', ' ').title()}**: {v or 'Not provided'}\n"
-        api_response += param_text
-    
-    return api_response, state
-
-def reset_conversation():
-    """Start a new conversation"""
-    return "", {"session_id": str(uuid.uuid4()), "history": []}
-
-# Create the Gradio interface
-with gr.Blocks(title="Test Creation Agent") as app:
-    gr.Markdown("# 📝 Test Creation Agent")
-    gr.Markdown("""
-    This application helps you create educational tests through conversation.
-    
-    Simply describe your test requirements, and the AI will collect all necessary parameters:
-    - Chapters/topics to include
-    - Number of questions per chapter
-    - Difficulty distribution
-    - Test duration
-    - Test date and time
-    """)
-    
-    chatbot = gr.Chatbot(label="Conversation")
-    msg = gr.Textbox(label="Your message", placeholder="Describe your test requirements...")
-    with gr.Row():
-        submit_btn = gr.Button("Send")
-        reset_btn = gr.Button("Reset")
-    
-    state = gr.State()
-    
-    # Set up event handlers
-    msg.submit(chat_with_api, [msg, state], [chatbot, state])
-    submit_btn.click(chat_with_api, [msg, state], [chatbot, state], queue=False)
-    reset_btn.click(reset_conversation, None, [chatbot, state], queue=False)
-    
-    # Start conversation automatically on page load
-    gr.on_load(lambda: chat_with_api("", None))
-
-# Launch the app
-if __name__ == "__main__":
-    # Check if running in production (on Hugging Face Spaces)
-    if os.getenv("SPACE_ID"):
-        app.launch(server_name="0.0.0.0", server_port=7860)
-    else:
-        app.launch()