Snaseem2026 commited on
Commit
6271bd5
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1 Parent(s): 124d9d7

Update app.py

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Files changed (1) hide show
  1. app.py +21 -20
app.py CHANGED
@@ -2,7 +2,8 @@ import os
2
  import gradio as gr
3
  import requests
4
  import pandas as pd
5
- from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, HfApiEngine
 
6
 
7
  # --- Constants ---
8
  DEFAULT_API_URL = "https://agents-course-unit4-scoring. hf.space"
@@ -12,8 +13,8 @@ class IntelligentAgent:
12
  def __init__(self):
13
  print("Initializing IntelligentAgent with tools...")
14
  try:
15
- # Initialize the model engine (uses Qwen model on HF Inference)
16
- model = HfApiEngine()
17
 
18
  # Initialize tools for web search and browsing
19
  search_tool = DuckDuckGoSearchTool()
@@ -32,9 +33,9 @@ class IntelligentAgent:
32
  self.agent = None
33
 
34
  def __call__(self, question: str) -> str:
35
- print(f"Agent received question: {question[:100]}...")
36
 
37
- if self.agent is None:
38
  return "Agent initialization failed."
39
 
40
  try:
@@ -45,8 +46,8 @@ class IntelligentAgent:
45
  return answer
46
  except Exception as e:
47
  print(f"Error running agent: {e}")
48
- # Fallback: try to give a reasonable response
49
- return f"I encountered an error while processing this question. Error: {str(e)}"
50
 
51
  def run_and_submit_all(profile: gr.OAuthProfile | None):
52
  """
@@ -124,16 +125,16 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
124
  "task_id": task_id,
125
  "submitted_answer": answer
126
  })
127
- results_log.append((task_id, question_text[: 50], answer[:100]))
128
  print(f"βœ… Answer generated: {answer[:100]}...")
129
- except Exception as e:
130
  print(f"❌ Error running agent on question {task_id}: {e}")
131
  error_answer = "I apologize, but I encountered an error processing this question."
132
- answers_payload.append({
133
- "task_id": task_id,
134
  "submitted_answer": error_answer
135
  })
136
- results_log.append((task_id, question_text[:50], f"Error: {e}"))
137
 
138
  print("\n" + "=" * 60)
139
  print(f"βœ… Completed processing all questions!")
@@ -143,7 +144,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
143
  try:
144
  payload = {
145
  "username": username,
146
- "answers": answers_payload,
147
  "agent_code": agent_code
148
  }
149
 
@@ -152,14 +153,14 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
152
  json=payload,
153
  timeout=60
154
  )
155
- submit_response.raise_for_status()
156
- submission_result = submit_response.json()
157
  print(f"βœ… Submission successful: {submission_result}")
158
- except requests. exceptions.HTTPError as e:
159
  print(f"❌ HTTP Error submitting answers: {e}")
160
- print(f"Response text: {submit_response.text[:500]}")
161
  return f"Error submitting answers: {e}\n\nResponse: {submit_response.text[:200]}", None
162
- except Exception as e:
163
  print(f"❌ Error submitting answers: {e}")
164
  return f"Error submitting answers: {e}", None
165
 
@@ -173,7 +174,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
173
  result_message = f"""
174
  ## πŸŽ‰ Submission Successful!
175
 
176
- ### πŸ“Š Your Results:
177
  - **Score:** {score}
178
  - **Username:** {username}
179
  - **Questions Answered:** {total_questions}
@@ -226,7 +227,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
226
  output_text = gr. Markdown()
227
 
228
  with gr.Row():
229
- output_table = gr. Dataframe(label="πŸ“ Detailed Results", wrap=True)
230
 
231
  submit_button.click(
232
  run_and_submit_all,
 
2
  import gradio as gr
3
  import requests
4
  import pandas as pd
5
+ from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool
6
+ from smolagents.models import HfEngine
7
 
8
  # --- Constants ---
9
  DEFAULT_API_URL = "https://agents-course-unit4-scoring. hf.space"
 
13
  def __init__(self):
14
  print("Initializing IntelligentAgent with tools...")
15
  try:
16
+ # Initialize the model engine
17
+ model = HfEngine(model_id="Qwen/Qwen2.5-Coder-32B-Instruct")
18
 
19
  # Initialize tools for web search and browsing
20
  search_tool = DuckDuckGoSearchTool()
 
33
  self.agent = None
34
 
35
  def __call__(self, question: str) -> str:
36
+ print(f"Agent received question: {question[:100]}...")
37
 
38
+ if self. agent is None:
39
  return "Agent initialization failed."
40
 
41
  try:
 
46
  return answer
47
  except Exception as e:
48
  print(f"Error running agent: {e}")
49
+ # Fallback: try to give a reasonable response
50
+ return f"I encountered an error while processing this question."
51
 
52
  def run_and_submit_all(profile: gr.OAuthProfile | None):
53
  """
 
125
  "task_id": task_id,
126
  "submitted_answer": answer
127
  })
128
+ results_log.append((task_id, question_text[:50], answer[:100]))
129
  print(f"βœ… Answer generated: {answer[:100]}...")
130
+ except Exception as e:
131
  print(f"❌ Error running agent on question {task_id}: {e}")
132
  error_answer = "I apologize, but I encountered an error processing this question."
133
+ answers_payload. append({
134
+ "task_id": task_id,
135
  "submitted_answer": error_answer
136
  })
137
+ results_log. append((task_id, question_text[:50], f"Error: {e}"))
138
 
139
  print("\n" + "=" * 60)
140
  print(f"βœ… Completed processing all questions!")
 
144
  try:
145
  payload = {
146
  "username": username,
147
+ "answers": answers_payload,
148
  "agent_code": agent_code
149
  }
150
 
 
153
  json=payload,
154
  timeout=60
155
  )
156
+ submit_response. raise_for_status()
157
+ submission_result = submit_response. json()
158
  print(f"βœ… Submission successful: {submission_result}")
159
+ except requests.exceptions.HTTPError as e:
160
  print(f"❌ HTTP Error submitting answers: {e}")
161
+ print(f"Response text: {submit_response. text[:500]}")
162
  return f"Error submitting answers: {e}\n\nResponse: {submit_response.text[:200]}", None
163
+ except Exception as e:
164
  print(f"❌ Error submitting answers: {e}")
165
  return f"Error submitting answers: {e}", None
166
 
 
174
  result_message = f"""
175
  ## πŸŽ‰ Submission Successful!
176
 
177
+ ### πŸ“Š Your Results:
178
  - **Score:** {score}
179
  - **Username:** {username}
180
  - **Questions Answered:** {total_questions}
 
227
  output_text = gr. Markdown()
228
 
229
  with gr.Row():
230
+ output_table = gr.Dataframe(label="πŸ“ Detailed Results", wrap=True)
231
 
232
  submit_button.click(
233
  run_and_submit_all,