Evaluation 4

app-original.py

@@ -1,158 +0,0 @@
-import os, threading
-import gradio as gr
-from crew import run_parallel_crew
-from crew import run_crew
-from utils import get_questions
-
-
-def ask(question, openai_api_key, gemini_api_key, anthropic_api_key, file_name = ""):
-    """
-    Ask General AI Assistant a question to answer.
-
-    Args:
-        question (str): The question to answer
-        openai_api_key (str): OpenAI API key
-        gemini_api_key (str): Gemini API key
-        anthropic_api_key (str): Anthropic API key
-        file_name (str): Optional file name
-
-    Returns:
-        str: The answer to the question
-    """
-    if not question:
-        raise gr.Error("Question is required.")
-
-    if not openai_api_key:
-        raise gr.Error("OpenAI API Key is required.")
-    
-    if not gemini_api_key:
-        raise gr.Error("Gemini API Key is required.")
-
-    if not anthropic_api_key:
-        raise gr.Error("Anthropic API Key is required.")
-        
-    if file_name:
-        file_name = f"data/{file_name}"
-    
-    lock = threading.Lock()
-
-    with lock:
-        answer = ""
-
-        try:
-            os.environ["OPENAI_API_KEY"] = openai_api_key
-            os.environ["GEMINI_API_KEY"] = gemini_api_key
-            os.environ["MODEL_API_KEY"] = anthropic_api_key
-            
-            #answer = run_parallel_crew(question, file_name)
-            answer = run_crew(question, file_name)
-        except Exception as e:
-            raise gr.Error(e)
-        finally:
-            del os.environ["OPENAI_API_KEY"]
-            del os.environ["GEMINI_API_KEY"]
-            del os.environ["MODEL_API_KEY"]
-        
-        return answer
-
-gr.close_all()
-
-with gr.Blocks() as grady:
-    gr.Markdown("## Grady - General AI Assistant")
-
-    with gr.Tab("Solution"):
-        gr.Markdown(os.environ.get("DESCRIPTION"))
-
-        with gr.Row():
-            with gr.Column(scale=3):
-                with gr.Row():
-                    question = gr.Textbox(
-                        label="Question *",
-                        placeholder="In the 2025 Gradio Agents & MCP Hackathon, what percentage of participants submitted a solution during the last 24 hours?",
-                        interactive=True
-                    )
-                with gr.Row():
-                    level = gr.Radio(
-                        choices=[1, 2, 3],
-                        label="GAIA Benchmark Level",
-                        interactive=True,
-                        scale=1
-                    )
-                    ground_truth = gr.Textbox(
-                        label="Ground Truth",
-                        interactive=True,
-                        scale=1
-                    )
-                    file_name = gr.Textbox(
-                        label="File Name",
-                        interactive=True,
-                        scale=2
-                    )
-                with gr.Row():
-                    openai_api_key = gr.Textbox(
-                        label="OpenAI API Key *",
-                        type="password",
-                        placeholder="sk‑...",
-                        interactive=True
-                    )
-                    gemini_api_key = gr.Textbox(
-                        label="Gemini API Key *",
-                        type="password",
-                        interactive=True
-                    )
-                    anthropic_api_key = gr.Textbox(
-                        label="Anthropic API Key *",
-                        type="password",
-                        placeholder="sk-ant-...",
-                        interactive=True
-                    )
-                with gr.Row():
-                    clear_btn = gr.ClearButton(
-                        components=[question, level, ground_truth, file_name]
-                    )
-                    submit_btn = gr.Button("Submit", variant="primary")
-            with gr.Column(scale=1):
-                answer = gr.Textbox(
-                    label="Answer",
-                    lines=1,
-                    interactive=False
-                )
-    
-        submit_btn.click(
-            fn=ask,
-            inputs=[question, openai_api_key, gemini_api_key, anthropic_api_key, file_name],
-            outputs=answer
-        )
-    
-        QUESTION_FILE_PATH = "data/gaia_validation.jsonl"
-        
-        gr.Examples(
-            label="GAIA Benchmark Level 1 Problems",
-            examples=get_questions(QUESTION_FILE_PATH, 1),
-            inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
-            outputs=answer,
-            cache_examples=False
-        )
-    
-        gr.Examples(
-            label="GAIA Benchmark Level 2 Problems",
-            examples=get_questions(QUESTION_FILE_PATH, 2),
-            inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
-            outputs=answer,
-            cache_examples=False
-        )
-    
-        gr.Examples(
-            label="GAIA Benchmark Level 3 Problems",
-            examples=get_questions(QUESTION_FILE_PATH, 3),
-            inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
-            outputs=answer,
-            cache_examples=False
-        )
-    with gr.Tab("Documentation"):
-        gr.Markdown(os.environ.get("DOCUMENTATION"))
-
-grady.launch(mcp_server=True)
-
-
-