Delete app.py

app.py

@@ -1,161 +0,0 @@
-import os
-import gradio as gr
-import requests
-import pandas as pd
-from smolagents import CodeAgent, DuckDuckGoSearchTool
-
-DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
-
-class HfApiModel:
-    def __init__(self, model_name="tiiuae/falcon-7b-instruct", api_key=None):
-        self.model_name = model_name
-        self.api_key = api_key or os.getenv("HF_TOKEN")
-        if not self.api_key:
-            raise ValueError("HF_TOKEN environment variable is missing.")
-
-    def __call__(self, prompt):
-        # Convert ChatMessage or list of ChatMessages to plain string
-        if hasattr(prompt, "content"):
-            prompt = prompt.content
-        elif isinstance(prompt, list):
-            prompt = " ".join(
-                m.content if hasattr(m, "content") else str(m) for m in prompt
-            )
-        else:
-            prompt = str(prompt)
-
-        url = f"https://api-inference.huggingface.co/models/{self.model_name}"
-        headers = {"Authorization": f"Bearer {self.api_key}"}
-        payload = {
-            "inputs": prompt,
-            "options": {"wait_for_model": True}
-        }
-
-        response = requests.post(url, headers=headers, json=payload, timeout=60)
-        response.raise_for_status()
-        output = response.json()
-
-        try:
-            return output[0]["generated_text"]
-        except Exception:
-            return f"ERROR: {output}"
-
-    def generate(self, prompt, **kwargs):
-        return self.__call__(prompt)
-
-class BasicAgent:
-    def __init__(self):
-        print("✅ BasicAgent initialized.")
-        self.agent = CodeAgent(
-            tools=[DuckDuckGoSearchTool()],
-            model=HfApiModel(model_name="tiiuae/falcon-7b-instruct")
-        )
-
-        SYSTEM_PROMPT = """You are a general AI assistant. I will ask you a question. Report your thoughts, and
-finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER].
-YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated
-list of numbers and/or strings.
-If you are asked for a number, don't use comma to write your number neither use units such as $ or
-percent sign unless specified otherwise.
-If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the
-digits in plain text unless specified otherwise.
-If you are asked for a comma separated list, apply the above rules depending of whether the element
-to be put in the list is a number or a string.
-"""
-        self.agent.prompt_templates["system_prompt"] += SYSTEM_PROMPT
-
-    def __call__(self, question: str) -> str:
-        print(f"📥 Agent received question: {question[:60]}...")
-        final_answer = self.agent.run(question)
-        print(f"📤 Agent returning answer: {final_answer}")
-        return final_answer
-
-def run_and_submit_all(profile: gr.OAuthProfile | None):
-    space_id = os.getenv("SPACE_ID")
-
-    if profile:
-        username = profile.username
-        print(f"🔐 Logged in as: {username}")
-    else:
-        return "⚠️ Please login with Hugging Face to continue.", None
-
-    questions_url = f"{DEFAULT_API_URL}/questions"
-    submit_url = f"{DEFAULT_API_URL}/submit"
-
-    try:
-        agent = BasicAgent()
-    except Exception as e:
-        return f"❌ Agent initialization failed: {e}", None
-
-    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main" if space_id else "Unknown"
-
-    try:
-        response = requests.get(questions_url, timeout=15)
-        response.raise_for_status()
-        questions_data = response.json()
-        if not questions_data:
-            return "❌ No questions received from the server.", None
-    except Exception as e:
-        return f"❌ Failed to fetch questions: {e}", None
-
-    answers_payload = []
-    results_log = []
-
-    for item in questions_data:
-        task_id = item.get("task_id")
-        question_text = item.get("question")
-        if not task_id or question_text is None:
-            continue
-        try:
-            submitted_answer = agent(question_text)
-        except Exception as e:
-            submitted_answer = f"AGENT ERROR: {e}"
-        answers_payload.append({
-            "task_id": task_id,
-            "submitted_answer": submitted_answer
-        })
-        results_log.append({
-            "Task ID": task_id,
-            "Question": question_text,
-            "Submitted Answer": submitted_answer
-        })
-
-    if not answers_payload:
-        return "⚠️ Agent failed to generate any answers.", pd.DataFrame(results_log)
-
-    submission_data = {
-        "username": username.strip(),
-        "agent_code": agent_code,
-        "answers": answers_payload
-    }
-
-    try:
-        response = requests.post(submit_url, json=submission_data, timeout=60)
-        response.raise_for_status()
-        result_data = response.json()
-        status = (
-            f"✅ Submission Successful!\n"
-            f"User: {result_data.get('username')}\n"
-            f"Score: {result_data.get('score', '?')}% "
-            f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')})\n"
-            f"Message: {result_data.get('message', 'No message.')}"
-        )
-        return status, pd.DataFrame(results_log)
-    except Exception as e:
-        return f"❌ Submission failed: {e}", pd.DataFrame(results_log)
-
-# Gradio UI
-with gr.Blocks() as demo:
-    gr.Markdown("# 🤖 Basic Agent Evaluation Runner")
-    gr.Markdown("Clone this space, log in, and run your agent on the questions. Modify `BasicAgent` logic if needed.")
-
-    gr.LoginButton()
-    run_button = gr.Button("▶️ Run Evaluation & Submit All Answers")
-    status_output = gr.Textbox(label="📝 Run Status", lines=5, interactive=False)
-    results_table = gr.DataFrame(label="📋 Results", wrap=True)
-
-    run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
-
-if __name__ == "__main__":
-    print("🚀 Launching Gradio app...")
-    demo.launch(debug=True, share=False)