Update app.py
Browse files
app.py
CHANGED
@@ -7,6 +7,7 @@ import pandas as pd
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from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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from huggingface_hub import InferenceClient
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import json
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api_url = "https://agents-course-unit4-scoring.hf.space"
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questions_url = f"{api_url}/questions"
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@@ -65,6 +66,22 @@ def load_questions_from_file(filepath="questions.json"):
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print("No data found.")
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run_and_submit_one()
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from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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from huggingface_hub import InferenceClient
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import json
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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api_url = "https://agents-course-unit4-scoring.hf.space"
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questions_url = f"{api_url}/questions"
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else:
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print("No data found.")
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# 3. Run your Agent
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results_log = []
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answers_payload = []
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try:
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submitted_answer = agent(question_text)
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answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
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except Exception as e:
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print(f"Error running agent on task {task_id}: {e}")
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
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if not answers_payload:
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print("Agent did not produce any answers to submit.")
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return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
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run_and_submit_one()
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