first commit

.gitignore

@@ -0,0 +1,2 @@
+__pycache__
+__pycache__/*

agent.py

@@ -0,0 +1,11 @@
+# --- Basic Agent Definition ---
+# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+
+class BasicAgent:
+    def __init__(self):
+        print("BasicAgent initialized.")
+    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

app.py

@@ -4,21 +4,12 @@ import requests
 import inspect
 import pandas as pd
 
+import agent
+
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Basic Agent Definition ---
-# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-class BasicAgent:
-    def __init__(self):
-        print("BasicAgent initialized.")
-    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
-
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
@@ -139,6 +130,17 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
 
+def test_init_agent_for_chat(text_input, history):
+    # 1. Instantiate Agent ( modify this part to create your agent)
+    try:
+        basicAgent = agent.BasicAgent()
+    except Exception as e:
+        print(f"Error instantiating agent: {e}")
+        return f"Error initializing agent: {e}", None
+
+    submitted_answer = basicAgent(text_input)
+
+    return submitted_answer
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
@@ -160,16 +162,19 @@ with gr.Blocks() as demo:
 
     gr.LoginButton()
 
-    run_button = gr.Button("Run Evaluation & Submit All Answers")
+    # run_button = gr.Button("Run Evaluation & Submit All Answers")
 
-    status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
-    # Removed max_rows=10 from DataFrame constructor
-    results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
+    # status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
+    # # Removed max_rows=10 from DataFrame constructor
+    # results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
+
+    # run_button.click(
+    #     fn=run_and_submit_all,
+    #     outputs=[status_output, results_table]
+    # )
+
+    gr.ChatInterface(test_init_agent_for_chat, type="messages")
 
-    run_button.click(
-        fn=run_and_submit_all,
-        outputs=[status_output, results_table]
-    )
 
 if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)