app.py file changed

app.py

@@ -6,24 +6,35 @@ import pandas as pd
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Basic Agent ---
-class BasicAgent:
+# --- Новый агент: KeywordAgent ---
+class KeywordAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        self.keywords = {
+            "python": "Python — это мощный язык программирования, широко используемый в науке и разработке.",
+            "ai": "AI (искусственный интеллект) позволяет компьютерам решать задачи, которые обычно требуют разума.",
+            "data": "Данные — это основа всех аналитических систем и машинного обучения.",
+            "huggingface": "Hugging Face — это платформа для работы с ИИ, особенно NLP-моделями.",
+            "gradio": "Gradio — это библиотека для создания веб-интерфейсов ИИ-моделей."
+        }
+        self.default_answer = "Извините, я пока не знаю, как ответить на этот вопрос. Попробуйте иначе."
 
     def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
-
-# --- Run Agent only (generate answers, don't submit) ---
+        print(f"🔎 Вопрос получен: {question[:50]}...")
+        q_lower = question.lower()
+        for word, response in self.keywords.items():
+            if word in q_lower:
+                print(f"✅ Найдено ключевое слово: {word}")
+                return response
+        print("⚠️ Ключевые слова не найдены.")
+        return self.default_answer
+
+# --- Run Agent only ---
 def run_agent_only(profile: gr.OAuthProfile | None):
     if not profile:
         return "Please login first.", None, None
 
     try:
-        agent = BasicAgent()
+        agent = KeywordAgent()
     except Exception as e:
         return f"Error initializing agent: {e}", None, None
 
@@ -63,7 +74,7 @@ def run_agent_only(profile: gr.OAuthProfile | None):
 
     return "✅ Answers generated. You can now submit.", pd.DataFrame(results_log), answers_payload
 
-# --- Submit answers only ---
+# --- Submit only ---
 def submit_only(profile: gr.OAuthProfile | None, answers_payload: list | None):
     if not profile:
         return "Please login first.", None
@@ -94,12 +105,12 @@ def submit_only(profile: gr.OAuthProfile | None, answers_payload: list | None):
     except Exception as e:
         return f"❌ Submission failed: {e}", None
 
-# --- Gradio Interface ---
+# --- Gradio UI ---
 with gr.Blocks() as demo:
-    gr.Markdown("# 🤖 Basic Agent Evaluation Runner")
+    gr.Markdown("# 🤖 Keyword Agent Evaluation Runner")
     gr.Markdown("""
     **Steps to Complete Your Hugging Face Certification:**
-    1. Clone this Space and build your own logic in the `BasicAgent`.
+    1. Clone this Space and build your own logic in the `KeywordAgent`.
     2. Log in using the Hugging Face button.
     3. Click `Run Agent` to generate answers.
     4. Once ready, click `Submit` to send your answers and view your score.
@@ -115,7 +126,6 @@ with gr.Blocks() as demo:
 
     answers_state = gr.State(value=None)
 
-    # ✅ Профиль не создаём вручную — указываем как тип input
     run_button.click(
         fn=run_agent_only,
         inputs=[gr.OAuthProfile],
@@ -128,7 +138,7 @@ with gr.Blocks() as demo:
         outputs=[status_output, results_table]
     )
 
-# --- App Startup Info ---
+# --- Startup ---
 if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)
     space_host_startup = os.getenv("SPACE_HOST")

requirements.txt

@@ -1,2 +1,3 @@
-gradio
-requests
+gradio==4.26.0
+requests
+pandas