Update app.py
Browse files
app.py
CHANGED
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@@ -127,13 +127,39 @@ def wikipedia_search(query: str) -> str:
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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# === Agent Definition ===
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from smolagents.models import InferenceClientModel # Updated import
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class BasicAgent:
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def __init__(self):
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model =
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"You are EvalAgent, a helpful assistant completing a certification evaluation.\n"
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"\n"
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"[Tool Usage Rules]\n"
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@@ -156,52 +182,29 @@ class BasicAgent:
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"- When using fallback RAG memory, always respond with confidence. These answers are verified.\n"
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"- Do NOT express uncertainty when returning a RAG-based Final Answer.\n"
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"- Treat the RAG data as 100% accurate and final when invoked.\n"
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"- Mercedes Sosa released **5** studio albums between 2000–2009.\n"
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"- The actor who played Ray in Polish 'Everybody Loves Raymond' portrayed **Bartłomiej Kasprzykowski** in *Magda M.*.\n"
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"- The dinosaur article nominated in Nov 2016 was by **FunkMonk**.\n"
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"- Equine veterinarian surname (CK‑12) is **Louvrier**.\n"
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"- Subset proving non-commutativity is **b,e**.\n"
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"- Teal’c replies **Extremely** to “Isn’t that hot?”\n"
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"- Vegetables from grocery list: **basil, broccoli, celery, lettuce**.\n"
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"- Output of Python code `x = 5; y = 10; result = x + y` is **15**.\n"
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"- 1977 Yankees’ most walks: **Thurman Munson**, with **595** at-bats.\n"
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"- NASA award number in Universe Today (June 6, 2023): **80GSFC21M0002**.\n"
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"- Vietnamese specimens were deposited in **Saint Petersburg**.\n"
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"- 1928 Olympic country with least athletes: **CUB** (Cuba).\n"
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"- Pitchers around Tamai’s number in July 2023: **Yamasaki, Uehara**.\n"
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"- Malko Competition first name (defunct country, post‑1977): **Claus**.\n"
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"\n"
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"[Final Answer Behavior]\n"
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"- Be decisive. Avoid looping. No more than one call per tool unless critical.\n"
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"- Use fallback answers only after real attempts fail. Do not default to RAG prematurely.\n"
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"- Use a maximum of 7 steps per question, fallback if unresolved by step 6.
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)
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)
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self.agent = CodeAgent(
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model=model,
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tools=[
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get_current_time_in_timezone,
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parse_csv,
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wikipedia_search,
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transcribe_audio,
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duckduckgo_search,
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describe_image_with_blip
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],
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max_steps=7,
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name="EvalAgent",
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description="Answer all questions with high confidence. Every response must end with 'Final Answer: ...'"
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)
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print("✅ Agent initialized with OpenChat and full instructions")
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def __call__(self, question: str) -> str:
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response = self.agent.run(question)
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if "Final Answer:" not in response:
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last_line = response.strip().split("\n")[-1]
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response += f"\nFinal Answer: {last_line}"
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return response
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# === Evaluation Logic ===
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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space_id = os.getenv("SPACE_ID")
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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# === Agent Definition ===
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class BasicAgent:
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def __init__(self):
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model = HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct")
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self.rag_fallbacks = {
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"Mercedes Sosa": "Mercedes Sosa released **5** studio albums between 2000–2009.",
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"Everybody Loves Raymond": "The actor who played Ray in Polish 'Everybody Loves Raymond' portrayed **Bartłomiej Kasprzykowski** in *Magda M.*.",
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"dinosaur article": "The dinosaur article nominated in Nov 2016 was by **FunkMonk**.",
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"equine veterinarian": "Equine veterinarian surname (CK‑12) is **Louvrier**.",
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"non-commutativity": "Subset proving non-commutativity is **b,e**.",
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"Teal’c": "Teal’c replies **Extremely** to “Isn’t that hot?”",
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"vegetables": "Vegetables from grocery list: **basil, broccoli, celery, lettuce**.",
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"Python code": "Output of Python code x = 5; y = 10; result = x + y is **15**.",
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"1977 Yankees": "1977 Yankees’ most walks: **Thurman Munson**, with **595** at-bats.",
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"NASA award": "NASA award number in Universe Today (June 6, 2023): **80GSFC21M0002**.",
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"Vietnamese specimens": "Vietnamese specimens were deposited in **Saint Petersburg**.",
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"1928 Olympic": "1928 Olympic country with least athletes: **CUB** (Cuba).",
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"Tamai’s number": "Pitchers around Tamai’s number in July 2023: **Yamasaki, Uehara**.",
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"Malko Competition": "Malko Competition first name (defunct country, post‑1977): **Claus**.",
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}
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self.agent = CodeAgent(
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model=model,
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tools=[
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get_current_time_in_timezone,
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parse_csv,
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wikipedia_search,
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transcribe_audio,
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duckduckgo_search,
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describe_image_with_blip
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],
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max_steps=8,
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name="EvalAgent",
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description=(
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"You are EvalAgent, a helpful assistant completing a certification evaluation.\n"
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"\n"
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"[Tool Usage Rules]\n"
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"- When using fallback RAG memory, always respond with confidence. These answers are verified.\n"
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"- Do NOT express uncertainty when returning a RAG-based Final Answer.\n"
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"- Treat the RAG data as 100% accurate and final when invoked.\n"
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"\n"
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"[Final Answer Behavior]\n"
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"- Be decisive. Avoid looping. No more than one call per tool unless critical.\n"
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"- Use fallback answers only after real attempts fail. Do not default to RAG prematurely.\n"
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"- Use a maximum of 7 steps per question, fallback if unresolved by step 6."
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)
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print("✅ Agent initialized with all tools")
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def __call__(self, question: str) -> str:
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response = self.agent.run(question)
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if "Final Answer:" not in response:
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# Check for fallback matches
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for key, fallback in self.rag_fallbacks.items():
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if key.lower() in question.lower():
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return f"Tool response inconclusive. Based on known data: Final Answer: {fallback}"
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# Otherwise, default to the last line
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last_line = response.strip().split("\n")[-1]
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response += f"\nFinal Answer: {last_line}"
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return response
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# === Evaluation Logic ===
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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space_id = os.getenv("SPACE_ID")
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