Delete app.py

app.py

@@ -1,76 +0,0 @@
-import gradio as gr
-import json
-import os
-import traceback
-
-from agent import answer_question
-from submit import submit_answers
-from tools.file_loader import read_pdf, read_csv, read_txt
-
-qa_data = []
-answers = []
-
-def run_agent():
-    global qa_data, answers
-    try:
-        status_lines = []
-
-        with open("data/metadata.jsonl", "r", encoding="utf-8") as f:
-            lines = f.readlines()[:20]
-            qa_data = [json.loads(line) for line in lines]
-
-        answers = []
-
-        for idx, q in enumerate(qa_data, start=1):
-            task_id = q.get("task_id")
-            question = q.get("question")
-            file_text = None
-
-            file_name = q.get("file_name", "")
-            if file_name:
-                file_path = os.path.join("data", file_name)
-                try:
-                    if file_name.endswith(".pdf"):
-                        file_text = read_pdf(file_path)
-                    elif file_name.endswith(".csv"):
-                        file_text = read_csv(file_path)
-                    elif file_name.endswith(".txt"):
-                        file_text = read_txt(file_path)
-                except Exception as e:
-                    status_lines.append(f"⚠️ Failed to read file {file_name}: {e}")
-
-            response = answer_question(question, file_context=file_text, do_search=False)
-            answers.append({"task_id": task_id, "submitted_answer": response})
-            status_lines.append(f"✅ Q{idx}: Answered")
-
-        return "🎯 Done.\n\n" + "\n".join(
-            [f"✅ Q{idx+1} (ID {a['task_id']}): {a['submitted_answer']}" for idx, a in enumerate(answers)]
-        )
-
-    except Exception as e:
-        return f"❌ Error:\n{traceback.format_exc()}"
-
-def handle_submit(username, code_link):
-    try:
-        result = submit_answers(username, code_link, answers)
-        return result
-    except Exception as e:
-        return f"❌ Submission error:\n{traceback.format_exc()}"
-
-with gr.Blocks() as demo:
-    gr.Markdown("# 🤖 GAIA Level 1 Agent (Local - Hugging Face CPU Inference)")
-
-    with gr.Row():
-        username = gr.Textbox(label="Your Hugging Face Username")
-        code_link = gr.Textbox(label="Your Space Code Link (/tree/main)")
-
-    status = gr.Textbox(label="Status", lines=15)
-
-    run_btn = gr.Button("🧠 Run Agent")
-    submit_btn = gr.Button("🚀 Submit Answers")
-
-    run_btn.click(fn=run_agent, outputs=status)
-    submit_btn.click(fn=handle_submit, inputs=[username, code_link], outputs=status)
-
-if __name__ == "__main__":
-    demo.launch()