zonca commited on
Commit
291f2e5
·
1 Parent(s): 81917a3

rename to myagent

Browse files
Files changed (1) hide show
  1. app.py +55 -35
app.py CHANGED
@@ -8,27 +8,26 @@ import pandas as pd
8
  # --- Constants ---
9
  DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
10
 
11
- # --- Basic Agent Definition ---
12
- # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
13
- class BasicAgent:
14
  def __init__(self):
15
- print("BasicAgent initialized.")
 
16
  def __call__(self, question: str) -> str:
17
- print(f"Agent received question (first 50 chars): {question[:50]}...")
18
- fixed_answer = "This is a default answer."
19
- print(f"Agent returning fixed answer: {fixed_answer}")
20
  return fixed_answer
21
 
22
- def run_and_submit_all( profile: gr.OAuthProfile | None):
 
23
  """
24
- Fetches all questions, runs the BasicAgent on them, submits all answers,
25
  and displays the results.
26
  """
27
  # --- Determine HF Space Runtime URL and Repo URL ---
28
- space_id = os.getenv("SPACE_ID") # Get the SPACE_ID for sending link to the code
29
 
30
  if profile:
31
- username= f"{profile.username}"
32
  print(f"User logged in: {username}")
33
  else:
34
  print("User not logged in.")
@@ -40,7 +39,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
40
 
41
  # 1. Instantiate Agent ( modify this part to create your agent)
42
  try:
43
- agent = BasicAgent()
44
  except Exception as e:
45
  print(f"Error instantiating agent: {e}")
46
  return f"Error initializing agent: {e}", None
@@ -55,16 +54,16 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
55
  response.raise_for_status()
56
  questions_data = response.json()
57
  if not questions_data:
58
- print("Fetched questions list is empty.")
59
- return "Fetched questions list is empty or invalid format.", None
60
  print(f"Fetched {len(questions_data)} questions.")
61
  except requests.exceptions.RequestException as e:
62
  print(f"Error fetching questions: {e}")
63
  return f"Error fetching questions: {e}", None
64
  except requests.exceptions.JSONDecodeError as e:
65
- print(f"Error decoding JSON response from questions endpoint: {e}")
66
- print(f"Response text: {response.text[:500]}")
67
- return f"Error decoding server response for questions: {e}", None
68
  except Exception as e:
69
  print(f"An unexpected error occurred fetching questions: {e}")
70
  return f"An unexpected error occurred fetching questions: {e}", None
@@ -81,18 +80,36 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
81
  continue
82
  try:
83
  submitted_answer = agent(question_text)
84
- answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
85
- results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
 
 
 
 
 
 
 
 
86
  except Exception as e:
87
- print(f"Error running agent on task {task_id}: {e}")
88
- results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
 
 
 
 
 
 
89
 
90
  if not answers_payload:
91
  print("Agent did not produce any answers to submit.")
92
  return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
93
 
94
- # 4. Prepare Submission
95
- submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
 
 
 
 
96
  status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
97
  print(status_update)
98
 
@@ -162,20 +179,19 @@ with gr.Blocks() as demo:
162
 
163
  run_button = gr.Button("Run Evaluation & Submit All Answers")
164
 
165
- status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
 
 
166
  # Removed max_rows=10 from DataFrame constructor
167
  results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
168
 
169
- run_button.click(
170
- fn=run_and_submit_all,
171
- outputs=[status_output, results_table]
172
- )
173
 
174
  if __name__ == "__main__":
175
- print("\n" + "-"*30 + " App Starting " + "-"*30)
176
  # Check for SPACE_HOST and SPACE_ID at startup for information
177
  space_host_startup = os.getenv("SPACE_HOST")
178
- space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
179
 
180
  if space_host_startup:
181
  print(f"✅ SPACE_HOST found: {space_host_startup}")
@@ -183,14 +199,18 @@ if __name__ == "__main__":
183
  else:
184
  print("ℹ️ SPACE_HOST environment variable not found (running locally?).")
185
 
186
- if space_id_startup: # Print repo URLs if SPACE_ID is found
187
  print(f"✅ SPACE_ID found: {space_id_startup}")
188
  print(f" Repo URL: https://huggingface.co/spaces/{space_id_startup}")
189
- print(f" Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
 
 
190
  else:
191
- print("ℹ️ SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined.")
 
 
192
 
193
- print("-"*(60 + len(" App Starting ")) + "\n")
194
 
195
  print("Launching Gradio Interface for Basic Agent Evaluation...")
196
- demo.launch(debug=True, share=False)
 
8
  # --- Constants ---
9
  DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
10
 
11
+
12
+ class MyAgent:
 
13
  def __init__(self):
14
+ print("MyAgent initialized.")
15
+
16
  def __call__(self, question: str) -> str:
17
+ fixed_answer = None
 
 
18
  return fixed_answer
19
 
20
+
21
+ def run_and_submit_all(profile: gr.OAuthProfile | None):
22
  """
23
+ Fetches all questions, runs the MyAgent on them, submits all answers,
24
  and displays the results.
25
  """
26
  # --- Determine HF Space Runtime URL and Repo URL ---
27
+ space_id = os.getenv("SPACE_ID") # Get the SPACE_ID for sending link to the code
28
 
29
  if profile:
30
+ username = f"{profile.username}"
31
  print(f"User logged in: {username}")
32
  else:
33
  print("User not logged in.")
 
39
 
40
  # 1. Instantiate Agent ( modify this part to create your agent)
41
  try:
42
+ agent = MyAgent()
43
  except Exception as e:
44
  print(f"Error instantiating agent: {e}")
45
  return f"Error initializing agent: {e}", None
 
54
  response.raise_for_status()
55
  questions_data = response.json()
56
  if not questions_data:
57
+ print("Fetched questions list is empty.")
58
+ return "Fetched questions list is empty or invalid format.", None
59
  print(f"Fetched {len(questions_data)} questions.")
60
  except requests.exceptions.RequestException as e:
61
  print(f"Error fetching questions: {e}")
62
  return f"Error fetching questions: {e}", None
63
  except requests.exceptions.JSONDecodeError as e:
64
+ print(f"Error decoding JSON response from questions endpoint: {e}")
65
+ print(f"Response text: {response.text[:500]}")
66
+ return f"Error decoding server response for questions: {e}", None
67
  except Exception as e:
68
  print(f"An unexpected error occurred fetching questions: {e}")
69
  return f"An unexpected error occurred fetching questions: {e}", None
 
80
  continue
81
  try:
82
  submitted_answer = agent(question_text)
83
+ answers_payload.append(
84
+ {"task_id": task_id, "submitted_answer": submitted_answer}
85
+ )
86
+ results_log.append(
87
+ {
88
+ "Task ID": task_id,
89
+ "Question": question_text,
90
+ "Submitted Answer": submitted_answer,
91
+ }
92
+ )
93
  except Exception as e:
94
+ print(f"Error running agent on task {task_id}: {e}")
95
+ results_log.append(
96
+ {
97
+ "Task ID": task_id,
98
+ "Question": question_text,
99
+ "Submitted Answer": f"AGENT ERROR: {e}",
100
+ }
101
+ )
102
 
103
  if not answers_payload:
104
  print("Agent did not produce any answers to submit.")
105
  return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
106
 
107
+ # 4. Prepare Submission
108
+ submission_data = {
109
+ "username": username.strip(),
110
+ "agent_code": agent_code,
111
+ "answers": answers_payload,
112
+ }
113
  status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
114
  print(status_update)
115
 
 
179
 
180
  run_button = gr.Button("Run Evaluation & Submit All Answers")
181
 
182
+ status_output = gr.Textbox(
183
+ label="Run Status / Submission Result", lines=5, interactive=False
184
+ )
185
  # Removed max_rows=10 from DataFrame constructor
186
  results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
187
 
188
+ run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
 
 
 
189
 
190
  if __name__ == "__main__":
191
+ print("\n" + "-" * 30 + " App Starting " + "-" * 30)
192
  # Check for SPACE_HOST and SPACE_ID at startup for information
193
  space_host_startup = os.getenv("SPACE_HOST")
194
+ space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
195
 
196
  if space_host_startup:
197
  print(f"✅ SPACE_HOST found: {space_host_startup}")
 
199
  else:
200
  print("ℹ️ SPACE_HOST environment variable not found (running locally?).")
201
 
202
+ if space_id_startup: # Print repo URLs if SPACE_ID is found
203
  print(f"✅ SPACE_ID found: {space_id_startup}")
204
  print(f" Repo URL: https://huggingface.co/spaces/{space_id_startup}")
205
+ print(
206
+ f" Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main"
207
+ )
208
  else:
209
+ print(
210
+ "ℹ️ SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined."
211
+ )
212
 
213
+ print("-" * (60 + len(" App Starting ")) + "\n")
214
 
215
  print("Launching Gradio Interface for Basic Agent Evaluation...")
216
+ demo.launch(debug=True, share=False)