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  1. .gradio/certificate.pem +31 -0
  2. data/docs/South_Indian_Type2Diabetes_MealPlans_Final (1).pdf +0 -0
  3. images/RAGGPT UI.png +0 -0
  4. images/metrics.png +0 -0
  5. requirements.txt +14 -0
  6. src/.env +4 -0
  7. src/FIRST AID IN COMMON EMERGENCY CONDITIONS.pdf +0 -0
  8. src/basic.py +25 -0
  9. src/eval.py +198 -0
  10. src/raggpt.py +3 -3
  11. src/utils/.gitignore +60 -0
  12. src/utils/metricsbarchart.py +27 -0
  13. src/wandb/run-20250119_194559-48v1iwot/files/config.yaml +32 -0
  14. src/wandb/run-20250119_194559-48v1iwot/files/output.log +0 -0
  15. src/wandb/run-20250119_194559-48v1iwot/files/requirements.txt +509 -0
  16. src/wandb/run-20250119_194559-48v1iwot/files/wandb-metadata.json +27 -0
  17. src/wandb/run-20250119_194559-48v1iwot/files/wandb-summary.json +1 -0
  18. src/wandb/run-20250119_194559-48v1iwot/logs/debug-internal.log +16 -0
  19. src/wandb/run-20250119_194559-48v1iwot/logs/debug.log +29 -0
  20. src/wandb/run-20250119_194559-48v1iwot/run-48v1iwot.wandb +0 -0
  21. src/wandb/run-20250119_195817-lt6ko6cq/files/output.log +0 -0
  22. src/wandb/run-20250119_195817-lt6ko6cq/logs/debug-internal.log +17 -0
  23. src/wandb/run-20250119_195817-lt6ko6cq/logs/debug.log +26 -0
  24. src/wandb/run-20250119_195817-lt6ko6cq/run-lt6ko6cq.wandb +0 -0
  25. src/wandb/run-20250119_200518-nuq3jpvh/files/config.yaml +34 -0
  26. src/wandb/run-20250119_200518-nuq3jpvh/files/output.log +39 -0
  27. src/wandb/run-20250119_200518-nuq3jpvh/files/requirements.txt +509 -0
  28. src/wandb/run-20250119_200518-nuq3jpvh/files/wandb-metadata.json +27 -0
  29. src/wandb/run-20250119_200518-nuq3jpvh/files/wandb-summary.json +1 -0
  30. src/wandb/run-20250119_200518-nuq3jpvh/logs/debug-internal.log +15 -0
  31. src/wandb/run-20250119_200518-nuq3jpvh/logs/debug.log +23 -0
  32. src/wandb/run-20250119_200518-nuq3jpvh/run-nuq3jpvh.wandb +0 -0
  33. src/wandb/run-20250119_201250-m2don3uv/files/config.yaml +34 -0
  34. src/wandb/run-20250119_201250-m2don3uv/files/output.log +5 -0
  35. src/wandb/run-20250119_201250-m2don3uv/files/requirements.txt +509 -0
  36. src/wandb/run-20250119_201250-m2don3uv/files/wandb-metadata.json +27 -0
  37. src/wandb/run-20250119_201250-m2don3uv/files/wandb-summary.json +1 -0
  38. src/wandb/run-20250119_201250-m2don3uv/logs/debug-internal.log +15 -0
  39. src/wandb/run-20250119_201250-m2don3uv/logs/debug.log +23 -0
  40. src/wandb/run-20250119_201250-m2don3uv/run-m2don3uv.wandb +0 -0
  41. src/wandb/run-20250119_205127-z7zglvks/files/config.yaml +34 -0
  42. src/wandb/run-20250119_205127-z7zglvks/files/output.log +5 -0
  43. src/wandb/run-20250119_205127-z7zglvks/files/requirements.txt +509 -0
  44. src/wandb/run-20250119_205127-z7zglvks/files/wandb-metadata.json +27 -0
  45. src/wandb/run-20250119_205127-z7zglvks/files/wandb-summary.json +1 -0
  46. src/wandb/run-20250119_205127-z7zglvks/logs/debug-internal.log +15 -0
  47. src/wandb/run-20250119_205127-z7zglvks/logs/debug.log +23 -0
  48. src/wandb/run-20250119_205127-z7zglvks/run-z7zglvks.wandb +0 -0
  49. src/wandb/run-20250119_210544-83cyhu8e/files/config.yaml +34 -0
  50. src/wandb/run-20250119_210544-83cyhu8e/files/output.log +5 -0
.gradio/certificate.pem ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ -----BEGIN CERTIFICATE-----
2
+ MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
3
+ TzELMAkGA1UEBhMCVVMxKTAnBgNVBAoTIEludGVybmV0IFNlY3VyaXR5IFJlc2Vh
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+ ZXQgU2VjdXJpdHkgUmVzZWFyY2ggR3JvdXAxFTATBgNVBAMTDElTUkcgUm9vdCBY
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+ MTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAK3oJHP0FDfzm54rVygc
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+ KBds0pjBqAlkd25HN7rOrFleaJ1/ctaJxQZBKT5ZPt0m9STJEadao0xAH0ahmbWn
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+ OlFuhjuefXKnEgV4We0+UXgVCwOPjdAvBbI+e0ocS3MFEvzG6uBQE3xDk3SzynTn
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+ jh8BCNAw1FtxNrQHusEwMFxIt4I7mKZ9YIqioymCzLq9gwQbooMDQaHWBfEbwrbw
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+ qHyGO0aoSCqI3Haadr8faqU9GY/rOPNk3sgrDQoo//fb4hVC1CLQJ13hef4Y53CI
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+ rU7m2Ys6xt0nUW7/vGT1M0NPAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNV
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+ HRMBAf8EBTADAQH/MB0GA1UdDgQWBBR5tFnme7bl5AFzgAiIyBpY9umbbjANBgkq
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+ hkiG9w0BAQsFAAOCAgEAVR9YqbyyqFDQDLHYGmkgJykIrGF1XIpu+ILlaS/V9lZL
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+ ubhzEFnTIZd+50xx+7LSYK05qAvqFyFWhfFQDlnrzuBZ6brJFe+GnY+EgPbk6ZGQ
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+ 3BebYhtF8GaV0nxvwuo77x/Py9auJ/GpsMiu/X1+mvoiBOv/2X/qkSsisRcOj/KK
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+ NFtY2PwByVS5uCbMiogziUwthDyC3+6WVwW6LLv3xLfHTjuCvjHIInNzktHCgKQ5
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+ jNPElpzVmbUq4JUagEiuTDkHzsxHpFKVK7q4+63SM1N95R1NbdWhscdCb+ZAJzVc
27
+ oyi3B43njTOQ5yOf+1CceWxG1bQVs5ZufpsMljq4Ui0/1lvh+wjChP4kqKOJ2qxq
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+ 4RgqsahDYVvTH9w7jXbyLeiNdd8XM2w9U/t7y0Ff/9yi0GE44Za4rF2LN9d11TPA
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+ mRGunUHBcnWEvgJBQl9nJEiU0Zsnvgc/ubhPgXRR4Xq37Z0j4r7g1SgEEzwxA57d
30
+ emyPxgcYxn/eR44/KJ4EBs+lVDR3veyJm+kXQ99b21/+jh5Xos1AnX5iItreGCc=
31
+ -----END CERTIFICATE-----
data/docs/South_Indian_Type2Diabetes_MealPlans_Final (1).pdf ADDED
Binary file (7.96 kB). View file
 
images/RAGGPT UI.png CHANGED
images/metrics.png ADDED
requirements.txt CHANGED
@@ -10,4 +10,18 @@ tiktoken
10
  pydantic
11
  numpy
12
  pyprojroot
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13
 
 
10
  pydantic
11
  numpy
12
  pyprojroot
13
+ ragas
14
+ sentence-transformers
15
+ huggingface-hub
16
+ datasets
17
+ pandas
18
+ numpy
19
+ scipy
20
+ scikit-learn
21
+ torch
22
+ transformers
23
+ pymupdf
24
+ langsmith
25
+ fitz
26
+ getpass
27
 
src/.env ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ LANGCHAIN_TRACING_V2=false
2
+ LANGCHAIN_WANDB_TRACING = true
3
+ WANDB_API_KEY=95097db89ec7efbad9cb2d488159d8034b3378a2
4
+ OPENAI_API_KEY=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
src/FIRST AID IN COMMON EMERGENCY CONDITIONS.pdf ADDED
Binary file (348 kB). View file
 
src/basic.py ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from gradio_client import Client
2
+
3
+ # Connect to Hugging Face API
4
+ client = Client("DrSyedFaizan/First_Aid_Assistant")
5
+
6
+ # Define test question
7
+ test_question = "What are the first aid measures for high fever in infants?"
8
+
9
+ # Make API call with correct formatting
10
+ try:
11
+ result = client.predict(
12
+ chatbot=[], # Ensure chatbot history is correctly formatted
13
+ message=test_question, # The actual question
14
+ api_name="/respond"
15
+ )
16
+
17
+ # Extract assistant response
18
+ chat_history = result[1] # Full chat history
19
+ chatbot_response = next((entry["content"] for entry in chat_history if entry["role"] == "assistant"), "[NO RESPONSE]")
20
+
21
+ # Print extracted response
22
+ print("\n===== Response from Chatbot =====")
23
+ print("Chatbot says:", chatbot_response)
24
+ except Exception as e:
25
+ print("Error:", e)
src/eval.py ADDED
@@ -0,0 +1,198 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ from dotenv import load_dotenv
3
+ import openai
4
+ from gradio_client import Client
5
+
6
+ # Load API Key from .env file
7
+ load_dotenv()
8
+ api_key = os.getenv("OPENAI_API_KEY")
9
+ print(f"Using OpenAI API Key: {api_key[:5]}****{api_key[-3:]}")
10
+ openai.api_key = api_key
11
+
12
+ # ---- STEP 1: Load First Aid Contextual Data ----
13
+ from langchain_community.document_loaders import ArxivLoader
14
+ from langchain.text_splitter import RecursiveCharacterTextSplitter
15
+ from langchain_openai import OpenAIEmbeddings
16
+ from langchain_community.vectorstores import Chroma
17
+ from langchain.prompts import ChatPromptTemplate
18
+ from langchain_openai import ChatOpenAI
19
+ import wandb
20
+ import pandas as pd
21
+
22
+ # Load medical and first aid papers from ArXiv
23
+ first_aid_docs = ArxivLoader(query="first aid treatment", load_max_docs=5).load()
24
+
25
+ # Split documents for indexing
26
+ text_splitter = RecursiveCharacterTextSplitter(chunk_size=250)
27
+ docs = text_splitter.split_documents(first_aid_docs)
28
+
29
+ # Create vectorstore
30
+ vectorstore = Chroma.from_documents(docs, OpenAIEmbeddings())
31
+ retriever = vectorstore.as_retriever(search_kwargs={"k": 2})
32
+
33
+ # ---- Define First Aid Questions ----
34
+ questions = [
35
+ "What are the first aid measures for high fever in infants?",
36
+ "What are the signs and symptoms of low blood sugar?",
37
+ "What does RICE stand for in first aid treatment?",
38
+ "What is the first aid treatment of bleeding?",
39
+ "What is the first aid management of burns?",
40
+ "What are the signs and symptoms of stroke?",
41
+ "What is the treatment of snake bite?",
42
+ "How do you provide first aid for choking?",
43
+ "What are the immediate steps to treat a fainting patient?",
44
+ "What are the First aid measures for taking care of a patient with insect stings and animal bites?"
45
+ ]
46
+
47
+ # ---- STEP 2: Generate Ground Truth Responses using ChatGPT ----
48
+ llm = ChatOpenAI(model_name="gpt-4", temperature=0)
49
+ prompt_template = """
50
+ Generate a detailed and accurate first-aid response based on the given context.
51
+
52
+ ### CONTEXT
53
+ {context}
54
+
55
+ ### QUESTION
56
+ {question}
57
+
58
+ ### RESPONSE
59
+ """
60
+ prompt = ChatPromptTemplate.from_template(prompt_template)
61
+
62
+ ground_truth_responses = []
63
+ for question in questions:
64
+ retrieved_docs = retriever.invoke(question)
65
+ context_text = "\n".join([doc.page_content for doc in retrieved_docs])
66
+ generated_response = llm.invoke(prompt.format(context=context_text, question=question))
67
+ ground_truth_responses.append(str(generated_response))
68
+
69
+ # ---- STEP 3: Fetch Responses from Deployed Chatbot ----
70
+ print("\n===== Fetching Responses from Chatbot =====")
71
+
72
+ client = Client("DrSyedFaizan/First_Aid_Assistant")
73
+ responses = []
74
+
75
+ for question in questions:
76
+ try:
77
+ result = client.predict(chatbot=[], message=question, api_name="/respond")
78
+ chat_history = result[1]
79
+ chatbot_response = next((entry["content"] for entry in chat_history if entry["role"] == "assistant"), "[NO RESPONSE]")
80
+ except Exception as e:
81
+ chatbot_response = f"[ERROR: {e}]"
82
+
83
+ responses.append(str(chatbot_response))
84
+
85
+ # Save bot responses to a text file
86
+ with open("bot_responses.txt", "w", encoding="utf-8") as f:
87
+ for q, r in zip(questions, responses):
88
+ f.write(f"Q: {q}\nA: {r}\n\n")
89
+
90
+ # Print chatbot responses for debugging
91
+ for q, r in zip(questions, responses):
92
+ print(f"Q: {q}\nA: {r}\n")
93
+
94
+ # ---- STEP 5: Evaluate Using RAGAS ----
95
+ from datasets import Dataset
96
+ import pandas as pd
97
+ from tqdm import tqdm
98
+ from ragas import evaluate
99
+ from ragas.metrics import (
100
+ answer_relevancy,
101
+ faithfulness,
102
+ context_recall,
103
+ answer_correctness,
104
+ answer_similarity
105
+ )
106
+
107
+ def create_ragas_dataset(eval_dataset):
108
+ """Convert dataset to RAGAS format."""
109
+ df = eval_dataset.to_pandas()
110
+ rag_dataset = []
111
+ for _, row in df.iterrows():
112
+ rag_dataset.append(
113
+ {
114
+ "question": row["question"],
115
+ "answer": row["answer"],
116
+ "contexts": ["First aid medical references"],
117
+ "ground_truths": [row["ground_truth"]],
118
+ "reference": row["context"]
119
+ }
120
+ )
121
+ rag_df = pd.DataFrame(rag_dataset)
122
+ return Dataset.from_pandas(rag_df)
123
+
124
+ def evaluate_ragas_dataset(ragas_dataset):
125
+ """Run RAGAS evaluation with proper handling of required_columns."""
126
+ try:
127
+ result = evaluate(
128
+ ragas_dataset,
129
+ metrics=[
130
+ faithfulness,
131
+ answer_relevancy,
132
+ context_recall,
133
+ answer_correctness,
134
+ answer_similarity
135
+ ],
136
+ )
137
+ return result
138
+ except Exception as e:
139
+ print("⚠️ RAGAS Error:", e)
140
+ raise e
141
+
142
+ # Create ground truth dataset
143
+ ground_truth_qac_set = pd.DataFrame({
144
+ "question": questions,
145
+ "answer": responses,
146
+ "context": ["First aid medical references"] * len(questions),
147
+ "ground_truth": [str(response) for response in ground_truth_responses],
148
+ "reference": ["First aid medical references"] * len(questions)
149
+ })
150
+
151
+ eval_dataset = Dataset.from_pandas(ground_truth_qac_set.astype(str))
152
+
153
+ # Save evaluation datasets
154
+ eval_dataset.to_csv("groundtruth_eval_dataset.csv")
155
+ basic_qa_ragas_dataset = create_ragas_dataset(eval_dataset)
156
+ basic_qa_ragas_dataset.to_csv("basic_qa_ragas_dataset.csv")
157
+
158
+ # Run evaluation
159
+ basic_qa_result = evaluate_ragas_dataset(basic_qa_ragas_dataset)
160
+
161
+ print("\n===== Evaluation Results =====")
162
+ print(basic_qa_result)
163
+
164
+ evaluation_results = basic_qa_result.to_pandas()
165
+
166
+ # Save evaluation results as log
167
+
168
+ # ---- STEP 6: Log Results to WandB ----
169
+
170
+ import wandb
171
+ import pandas as pd
172
+
173
+ # ✅ Convert `eval_dataset` (Dataset) to Pandas DataFrame
174
+ eval_df = eval_dataset.to_pandas()
175
+
176
+ # ✅ Convert `basic_qa_ragas_dataset` (Dataset) to Pandas DataFrame
177
+ ragas_df = basic_qa_ragas_dataset.to_pandas()
178
+
179
+ # ✅ Save DataFrames as CSV
180
+ eval_df.to_csv("groundtruth_eval_dataset.csv", index=False)
181
+ ragas_df.to_csv("basic_qa_ragas_dataset.csv", index=False)
182
+
183
+ # ✅ Initialize WandB
184
+ wandb.init(
185
+ project="first-aid-tutor",
186
+ entity="drsyedfaizan1987-northeastern-university",
187
+ name="ragas_evaluation",
188
+ notes="Logging evaluation datasets for first-aid chatbot.",
189
+ tags=["first-aid", "evaluation", "ragas"]
190
+ )
191
+
192
+ # ✅ Log DataFrames to WandB as Tables
193
+ wandb.log({"basic_qa_ragas_dataset": wandb.Table(dataframe=evaluation_results)})
194
+ wandb.log({"groundtruth_eval_dataset": wandb.Table(dataframe=eval_df)})
195
+ wandb.log({"basic_qa_ragas_dataset": wandb.Table(dataframe=ragas_df)})
196
+
197
+ # ✅ Finish WandB run
198
+ wandb.finish()
src/raggpt.py CHANGED
@@ -66,16 +66,16 @@ button:hover {
66
 
67
  # Define the chatbot UI with only input and response
68
  with gr.Blocks(css=custom_css) as demo:
69
- gr.Markdown("<h1>🚑 First Aid Tutor</h1>")
70
 
71
  chatbot = gr.Chatbot([], elem_id="chatbot", bubble_full_width=False, height=500, type="messages")
72
 
73
  user_input = gr.Textbox(
74
- label="💬 Ask a First Aid Question:",
75
  placeholder="Type your question here...",
76
  )
77
 
78
- submit_button = gr.Button("🚀 Get First Aid Advice")
79
 
80
  submit_button.click(
81
  fn=ChatBot.respond,
 
66
 
67
  # Define the chatbot UI with only input and response
68
  with gr.Blocks(css=custom_css) as demo:
69
+ gr.Markdown("<h1>Diabetes Diet Aid</h1>")
70
 
71
  chatbot = gr.Chatbot([], elem_id="chatbot", bubble_full_width=False, height=500, type="messages")
72
 
73
  user_input = gr.Textbox(
74
+ label="💬 Request a Diet Plan:",
75
  placeholder="Type your question here...",
76
  )
77
 
78
+ submit_button = gr.Button("🚀 Get Diet Advice")
79
 
80
  submit_button.click(
81
  fn=ChatBot.respond,
src/utils/.gitignore ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Ignore Python compiled files
2
+ __pycache__/
3
+ *.pyc
4
+ *.pyo
5
+ *.pyd
6
+
7
+ # Ignore virtual environments
8
+ venv/
9
+ env/
10
+ .venv/
11
+
12
+ # Ignore system-specific files
13
+ .DS_Store
14
+ Thumbs.db
15
+
16
+ # Ignore logs and temp files
17
+ *.log
18
+ *.tmp
19
+ *.swp
20
+
21
+ # Ignore Jupyter Notebook checkpoints
22
+ .ipynb_checkpoints/
23
+
24
+ # Ignore Hugging Face cache
25
+ ~/.cache/huggingface/
26
+
27
+ # Ignore environment variables
28
+ .env
29
+ .env.local
30
+ config.json
31
+
32
+ # Ignore evaluation result files if you want them to be regenerated
33
+ evaluation_results.txt
34
+ evaluation_plot.png
35
+
36
+ # Ignore large files & archives
37
+ *.zip
38
+ *.tar.gz
39
+ *.tar.bz2
40
+ *.7z
41
+ *.rar
42
+
43
+ # Ignore dataset files (if needed)
44
+ data/
45
+ datasets/
46
+ *.csv
47
+ *.json
48
+ *.xlsx
49
+
50
+ # Ignore IDE files
51
+ .vscode/
52
+ .idea/
53
+ *.iml
54
+
55
+ # Ignore model checkpoints (if any)
56
+ *.ckpt
57
+ *.h5
58
+ *.pt
59
+ *.onnx
60
+ *.pb
src/utils/metricsbarchart.py ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import matplotlib.pyplot as plt
2
+
3
+ # Evaluation Results
4
+ evaluation_results = {
5
+ "faithfulness": 0.0900,
6
+ "answer_relevancy": 0.9609,
7
+ "context_recall": 1.0000,
8
+ "answer_correctness": 0.2689,
9
+ "semantic_similarity": 0.7756
10
+ }
11
+
12
+ # Convert dictionary to lists
13
+ metrics = list(evaluation_results.keys())
14
+ values = list(evaluation_results.values())
15
+
16
+ # Generate Bar Chart
17
+ plt.figure(figsize=(10, 5))
18
+ plt.bar(metrics, values, color='skyblue')
19
+ plt.xlabel("Metrics")
20
+ plt.ylabel("Scores")
21
+ plt.ylim(0, 1)
22
+ plt.title("Evaluation Metrics Bar Chart")
23
+ plt.xticks(rotation=45)
24
+ plt.grid(axis="y", linestyle="--", alpha=0.7)
25
+
26
+ # Show the plot
27
+ plt.show()
src/wandb/run-20250119_194559-48v1iwot/files/config.yaml ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ _wandb:
2
+ value:
3
+ cli_version: 0.19.4
4
+ m: []
5
+ python_version: 3.12.7
6
+ t:
7
+ "1":
8
+ - 55
9
+ - 105
10
+ "2":
11
+ - 55
12
+ - 105
13
+ "3":
14
+ - 2
15
+ - 16
16
+ - 23
17
+ - 55
18
+ "4": 3.12.7
19
+ "5": 0.19.4
20
+ "8":
21
+ - 3
22
+ - 5
23
+ "12": 0.19.4
24
+ "13": windows-amd64
25
+ architecture:
26
+ value: CNN
27
+ dataset:
28
+ value: CIFAR-100
29
+ epochs:
30
+ value: 10
31
+ learning_rate:
32
+ value: 0.02
src/wandb/run-20250119_194559-48v1iwot/files/output.log ADDED
File without changes
src/wandb/run-20250119_194559-48v1iwot/files/requirements.txt ADDED
@@ -0,0 +1,509 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ absl-py==2.1.0
2
+ ace_tools==0.0
3
+ acres==0.2.0
4
+ aiobotocore==2.12.3
5
+ aiofiles==23.2.1
6
+ aiohappyeyeballs==2.4.0
7
+ aiohttp==3.10.5
8
+ aioitertools==0.7.1
9
+ aiosignal==1.2.0
10
+ alabaster==0.7.16
11
+ altair==5.0.1
12
+ anaconda-anon-usage==0.4.4
13
+ anaconda-catalogs==0.2.0
14
+ anaconda-client==1.12.3
15
+ anaconda-cloud-auth==0.5.1
16
+ anaconda-navigator==2.6.3
17
+ anaconda-project==0.11.1
18
+ annotated-types==0.6.0
19
+ anyio==4.2.0
20
+ appdirs==1.4.4
21
+ archspec==0.2.3
22
+ argon2-cffi==21.3.0
23
+ argon2-cffi-bindings==21.2.0
24
+ arrow==1.2.3
25
+ arxiv==2.1.3
26
+ asgiref==3.8.1
27
+ astroid==2.14.2
28
+ astropy==6.1.3
29
+ astropy-iers-data==0.2024.9.2.0.33.23
30
+ asttokens==2.0.5
31
+ async-lru==2.0.4
32
+ atomicwrites==1.4.0
33
+ attrs==24.2.0
34
+ Automat==20.2.0
35
+ autopep8==2.0.4
36
+ Babel==2.11.0
37
+ backoff==2.2.1
38
+ bcrypt==4.2.1
39
+ beautifulsoup4==4.12.3
40
+ binaryornot==0.4.4
41
+ black==24.8.0
42
+ bleach==4.1.0
43
+ blinker==1.6.2
44
+ bokeh==3.6.0
45
+ boltons==23.0.0
46
+ botocore==1.34.69
47
+ Bottleneck==1.3.7
48
+ Brotli==1.0.9
49
+ build==1.2.2.post1
50
+ CacheControl==0.14.1
51
+ cachetools==5.3.3
52
+ certifi==2024.8.30
53
+ cffi==1.17.1
54
+ chardet==4.0.0
55
+ charset-normalizer==3.3.2
56
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57
+ chroma-hnswlib==0.7.6
58
+ ci-info==0.3.0
59
+ click==8.1.7
60
+ cloudpickle==3.0.0
61
+ colorama==0.4.6
62
+ colorcet==3.1.0
63
+ coloredlogs==15.0.1
64
+ comm==0.2.1
65
+ conda==24.9.2
66
+ conda-build==24.9.0
67
+ conda-content-trust==0.2.0
68
+ conda_index==0.5.0
69
+ conda-libmamba-solver==24.9.0
70
+ conda-pack==0.7.1
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+ conda-package-handling==2.3.0
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73
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+ conda-token==0.5.0+1.g2209e04
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77
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78
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79
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80
+ cryptography==43.0.0
81
+ cssselect==1.2.0
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+ cycler==0.11.0
83
+ cytoolz==0.12.2
84
+ dask==2024.8.2
85
+ dask-expr==1.1.13
86
+ dataclasses-json==0.6.7
87
+ datasets==3.2.0
88
+ datashader==0.16.3
89
+ debugpy==1.6.7
90
+ decorator==5.1.1
91
+ defusedxml==0.7.1
92
+ Deprecated==1.2.15
93
+ diagrams==0.24.1
94
+ diff-match-patch==20200713
95
+ dill==0.3.8
96
+ diskcache==5.6.3
97
+ distributed==2024.8.2
98
+ distro==1.9.0
99
+ docker-pycreds==0.4.0
100
+ docstring-to-markdown==0.11
101
+ docutils==0.18.1
102
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103
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105
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108
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109
+ fastapi==0.115.5
110
+ fastjsonschema==2.16.2
111
+ feedparser==6.0.11
112
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113
+ filelock==3.13.1
114
+ firebase-admin==6.6.0
115
+ fitz==0.0.1.dev2
116
+ flake8==7.0.0
117
+ Flask==3.0.3
118
+ flatbuffers==24.3.25
119
+ fonttools==4.51.0
120
+ frozendict==2.4.2
121
+ frozenlist==1.4.0
122
+ fsspec==2024.6.1
123
+ gensim==4.3.3
124
+ gitdb==4.0.7
125
+ GitPython==3.1.43
126
+ git-filter-repo==2.47.0
127
+ googleapis-common-protos==1.66.0
128
+ google-api-core==2.23.0
129
+ google-api-python-client==2.154.0
130
+ google-auth==2.36.0
131
+ google-auth-httplib2==0.2.0
132
+ google-cloud-core==2.4.1
133
+ google-cloud-firestore==2.19.0
134
+ google-cloud-storage==2.18.2
135
+ google-crc32c==1.6.0
136
+ google-resumable-media==2.7.2
137
+ gradio==5.12.0
138
+ gradio_client==1.5.4
139
+ graphviz==0.20.3
140
+ greenlet==3.0.1
141
+ grpcio==1.68.1
142
+ grpcio-status==1.68.1
143
+ h11==0.14.0
144
+ h5py==3.11.0
145
+ HeapDict==1.0.1
146
+ holoviews==1.19.1
147
+ httpcore==1.0.2
148
+ httplib2==0.22.0
149
+ httptools==0.6.4
150
+ httpx==0.27.0
151
+ httpx-sse==0.4.0
152
+ huggingface-hub==0.27.1
153
+ humanfriendly==10.0
154
+ hvplot==0.11.0
155
+ hyperlink==21.0.0
156
+ idna==3.7
157
+ imagecodecs==2023.1.23
158
+ imageio==2.33.1
159
+ imagesize==1.4.1
160
+ imbalanced-learn==0.12.3
161
+ importlib-metadata==7.0.1
162
+ importlib_resources==6.4.5
163
+ incremental==22.10.0
164
+ inflection==0.5.1
165
+ iniconfig==1.1.1
166
+ intake==2.0.7
167
+ intervaltree==3.1.0
168
+ ipykernel==6.28.0
169
+ ipython==8.27.0
170
+ ipython-genutils==0.2.0
171
+ ipywidgets==7.8.1
172
+ isodate==0.6.1
173
+ isort==5.13.2
174
+ itemadapter==0.3.0
175
+ itemloaders==1.1.0
176
+ itsdangerous==2.2.0
177
+ jaraco.classes==3.2.1
178
+ jedi==0.19.1
179
+ jellyfish==1.0.1
180
+ Jinja2==3.1.4
181
+ jiter==0.7.1
182
+ jmespath==1.0.1
183
+ joblib==1.4.2
184
+ json5==0.9.6
185
+ jsonpatch==1.33
186
+ jsonpointer==2.1
187
+ jsonschema==4.23.0
188
+ jsonschema-specifications==2023.7.1
189
+ jupyter==1.0.0
190
+ jupyterlab==4.2.5
191
+ jupyterlab-pygments==0.1.2
192
+ jupyterlab_server==2.27.3
193
+ jupyterlab-widgets==1.0.0
194
+ jupyter_client==8.6.0
195
+ jupyter-console==6.6.3
196
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197
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198
+ jupyter-lsp==2.2.0
199
+ jupyter_server==2.14.1
200
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201
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202
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
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220
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221
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222
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223
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224
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225
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226
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227
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228
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229
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230
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231
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232
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233
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234
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235
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236
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237
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238
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239
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240
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241
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242
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243
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244
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245
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246
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247
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248
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250
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251
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252
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253
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254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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272
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
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306
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307
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308
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309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
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329
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330
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331
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332
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333
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334
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335
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336
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337
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338
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339
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340
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341
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342
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343
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344
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345
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346
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347
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348
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349
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350
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351
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352
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353
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354
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355
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356
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357
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358
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359
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360
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361
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362
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363
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364
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365
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366
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367
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368
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369
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370
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371
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372
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373
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374
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375
+ QtAwesome==1.3.1
376
+ qtconsole==5.5.1
377
+ QtPy==2.4.1
378
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379
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380
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381
+ referencing==0.30.2
382
+ regex==2024.9.11
383
+ requests==2.32.3
384
+ requests-file==1.5.1
385
+ requests-oauthlib==2.0.0
386
+ requests-toolbelt==1.0.0
387
+ rfc3339-validator==0.1.4
388
+ rfc3986-validator==0.1.1
389
+ rich==13.7.1
390
+ rope==1.12.0
391
+ rouge_score==0.1.2
392
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393
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394
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395
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396
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397
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398
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399
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400
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401
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402
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403
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404
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405
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406
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407
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408
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409
+ semantic-version==2.10.0
410
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411
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412
+ sentence-transformers==3.3.1
413
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414
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415
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416
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417
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418
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419
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420
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421
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426
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427
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428
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429
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430
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431
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442
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446
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447
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448
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450
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451
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462
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463
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464
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465
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466
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467
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468
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469
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471
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472
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473
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475
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476
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478
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480
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481
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482
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483
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484
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485
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486
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487
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488
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489
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490
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491
+ websockets==11.0.3
492
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493
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495
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496
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497
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498
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499
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500
+ xarray==2023.6.0
501
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502
+ xxhash==3.5.0
503
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504
+ yapf==0.40.2
505
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506
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507
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509
+ zstandard==0.23.0
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1
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+ "email": "drsyedfaizan1987@gmail.com",
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+ "root": "C:\\Users\\sfaiz\\OneDrive\\Desktop\\Mudassir Sir Projects\\First Aid App\\src",
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src/wandb/run-20250119_194559-48v1iwot/logs/debug-internal.log ADDED
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1
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src/wandb/run-20250119_194559-48v1iwot/logs/debug.log ADDED
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1
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+ 2025-01-19 19:45:59,239 INFO MainThread:4400 [wandb_setup.py:_flush():68] Loading settings from C:\Users\sfaiz\OneDrive\Desktop\Mudassir Sir Projects\First Aid App\src\wandb\settings
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+ 2025-01-19 19:45:59,239 INFO MainThread:4400 [wandb_setup.py:_flush():68] Loading settings from environment variables
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+ 2025-01-19 19:45:59,239 INFO MainThread:4400 [wandb_init.py:setup_run_log_directory():624] Logging user logs to C:\Users\sfaiz\OneDrive\Desktop\Mudassir Sir Projects\First Aid App\src\wandb\run-20250119_194559-48v1iwot\logs\debug.log
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+ 2025-01-19 19:45:59,240 INFO MainThread:4400 [wandb_init.py:init():748] wandb.init called with sweep_config: {}
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+ config: {'learning_rate': 0.02, 'architecture': 'CNN', 'dataset': 'CIFAR-100', 'epochs': 10}
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+ 2025-01-19 19:46:00,012 INFO MainThread:4400 [backend.py:_multiprocessing_setup():97] multiprocessing start_methods=spawn, using: spawn
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+ 2025-01-19 19:46:01,043 INFO MainThread:4400 [wandb_init.py:init():967] starting run threads in backend
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+ 2025-01-19 19:46:01,758 INFO MainThread:4400 [wandb_run.py:_console_start():2409] atexit reg
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+ 2025-01-19 19:46:01,758 INFO MainThread:4400 [wandb_run.py:_redirect():2259] redirect: wrap_raw
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+ 2025-01-19 19:46:01,758 INFO MainThread:4400 [wandb_run.py:_redirect():2324] Wrapping output streams.
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+ 2025-01-19 19:46:01,758 INFO MainThread:4400 [wandb_run.py:_redirect():2349] Redirects installed.
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+ 2025-01-19 19:46:01,762 INFO MainThread:4400 [wandb_init.py:init():1009] run started, returning control to user process
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+ 2025-01-19 19:46:01,763 INFO MainThread:4400 [wandb_run.py:_finish():2134] finishing run drsyedfaizan1987-northeastern-university/my-awesome-project/48v1iwot
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+ 2025-01-19 19:46:01,763 INFO MainThread:4400 [wandb_run.py:_atexit_cleanup():2374] got exitcode: 0
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27
+ 2025-01-19 19:46:03,413 INFO MainThread:4400 [wandb_run.py:_footer_history_summary_info():3976] rendering history
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1
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2
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+ {"time":"2025-01-19T19:58:18.5395398-05:00","level":"ERROR","msg":"HTTP error","status":403,"method":"POST","url":"https://api.wandb.ai/graphql"}
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+ {"time":"2025-01-19T19:58:18.539599-05:00","level":"ERROR","msg":"sender: upsertRun:","error":"failed to upsert bucket: returned error 403 Forbidden: {\"errors\":[{\"message\":\"permission denied\",\"path\":[\"upsertBucket\"],\"extensions\":{\"code\":\"PERMISSION_ERROR\"}}],\"data\":{\"upsertBucket\":null}}"}
9
+ {"time":"2025-01-19T19:58:18.5548721-05:00","level":"INFO","msg":"stream: closing","id":"lt6ko6cq"}
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+ {"time":"2025-01-19T19:58:18.5548721-05:00","level":"ERROR","msg":"sender: upsertConfig: RunRecord is nil"}
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+ {"time":"2025-01-19T19:58:18.6462197-05:00","level":"ERROR","msg":"HTTP error","status":404,"method":"POST","url":"https://api.wandb.ai/graphql"}
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+ {"time":"2025-01-19T19:58:18.6462197-05:00","level":"ERROR","msg":"runfiles: CreateRunFiles returned error: returned error 404 Not Found: {\"errors\":[{\"message\":\"project langchain/first-aid-assistant not found during createRunFiles\",\"path\":[\"createRunFiles\"]}],\"data\":{\"createRunFiles\":null}}"}
13
+ {"time":"2025-01-19T19:58:18.6467452-05:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
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16
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+ {"time":"2025-01-19T19:58:18.6475551-05:00","level":"INFO","msg":"stream: closed","id":"lt6ko6cq"}
src/wandb/run-20250119_195817-lt6ko6cq/logs/debug.log ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-01-19 19:58:17,939 INFO MainThread:7600 [wandb_setup.py:_flush():68] Current SDK version is 0.19.4
2
+ 2025-01-19 19:58:17,939 INFO MainThread:7600 [wandb_setup.py:_flush():68] Configure stats pid to 7600
3
+ 2025-01-19 19:58:17,939 INFO MainThread:7600 [wandb_setup.py:_flush():68] Loading settings from C:\Users\sfaiz\.config\wandb\settings
4
+ 2025-01-19 19:58:17,939 INFO MainThread:7600 [wandb_setup.py:_flush():68] Loading settings from C:\Users\sfaiz\OneDrive\Desktop\Mudassir Sir Projects\First Aid App\src\wandb\settings
5
+ 2025-01-19 19:58:17,939 INFO MainThread:7600 [wandb_setup.py:_flush():68] Loading settings from environment variables
6
+ 2025-01-19 19:58:17,940 INFO MainThread:7600 [wandb_init.py:setup_run_log_directory():624] Logging user logs to C:\Users\sfaiz\OneDrive\Desktop\Mudassir Sir Projects\First Aid App\src\wandb\run-20250119_195817-lt6ko6cq\logs\debug.log
7
+ 2025-01-19 19:58:17,940 INFO MainThread:7600 [wandb_init.py:setup_run_log_directory():625] Logging internal logs to C:\Users\sfaiz\OneDrive\Desktop\Mudassir Sir Projects\First Aid App\src\wandb\run-20250119_195817-lt6ko6cq\logs\debug-internal.log
8
+ 2025-01-19 19:58:17,940 INFO MainThread:7600 [wandb_init.py:init():743] calling init triggers
9
+ 2025-01-19 19:58:17,941 INFO MainThread:7600 [wandb_init.py:init():748] wandb.init called with sweep_config: {}
10
+ config: {}
11
+ 2025-01-19 19:58:17,941 INFO MainThread:7600 [wandb_init.py:init():776] starting backend
12
+ 2025-01-19 19:58:18,178 INFO MainThread:7600 [wandb_init.py:init():780] sending inform_init request
13
+ 2025-01-19 19:58:18,246 INFO MainThread:7600 [backend.py:_multiprocessing_setup():97] multiprocessing start_methods=spawn, using: spawn
14
+ 2025-01-19 19:58:18,247 INFO MainThread:7600 [wandb_init.py:init():795] backend started and connected
15
+ 2025-01-19 19:58:18,249 INFO MainThread:7600 [wandb_init.py:init():888] updated telemetry
16
+ 2025-01-19 19:58:18,252 INFO MainThread:7600 [wandb_init.py:init():915] communicating run to backend with 90.0 second timeout
17
+ 2025-01-19 19:58:18,540 ERROR MainThread:7600 [wandb_init.py:init():944] encountered error: failed to upsert bucket: returned error 403 Forbidden: {"errors":[{"message":"permission denied","path":["upsertBucket"],"extensions":{"code":"PERMISSION_ERROR"}}],"data":{"upsertBucket":null}}
18
+ 2025-01-19 19:58:18,541 ERROR MainThread:7600 [wandb_init.py:init():1454] error in wandb.init()
19
+ Traceback (most recent call last):
20
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\wandb_init.py", line 1444, in init
21
+ return wi.init(run_settings, run_config)
22
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
23
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\wandb_init.py", line 950, in init
24
+ raise error
25
+ wandb.errors.errors.CommError: failed to upsert bucket: returned error 403 Forbidden: {"errors":[{"message":"permission denied","path":["upsertBucket"],"extensions":{"code":"PERMISSION_ERROR"}}],"data":{"upsertBucket":null}}
26
+ 2025-01-19 19:58:18,554 WARNING MsgRouterThr:7600 [router.py:message_loop():75] message_loop has been closed
src/wandb/run-20250119_195817-lt6ko6cq/run-lt6ko6cq.wandb ADDED
Binary file (386 Bytes). View file
 
src/wandb/run-20250119_200518-nuq3jpvh/files/config.yaml ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ _wandb:
2
+ value:
3
+ cli_version: 0.19.4
4
+ m: []
5
+ python_version: 3.12.7
6
+ t:
7
+ "1":
8
+ - 49
9
+ - 51
10
+ - 55
11
+ - 86
12
+ - 92
13
+ - 95
14
+ - 105
15
+ "2":
16
+ - 49
17
+ - 51
18
+ - 55
19
+ - 86
20
+ - 92
21
+ - 95
22
+ - 105
23
+ "3":
24
+ - 13
25
+ - 15
26
+ - 23
27
+ - 55
28
+ "4": 3.12.7
29
+ "5": 0.19.4
30
+ "8":
31
+ - 3
32
+ - 5
33
+ "12": 0.19.4
34
+ "13": windows-amd64
src/wandb/run-20250119_200518-nuq3jpvh/files/output.log ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Traceback (most recent call last):
2
+ File "C:\Users\sfaiz\OneDrive\Desktop\Mudassir Sir Projects\First Aid App\src\eval.py", line 174, in <module>
3
+ wandb.log({ "evaluation": basic_qa_result })
4
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\wandb_run.py", line 441, in wrapper
5
+ return func(self, *args, **kwargs)
6
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^
7
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\wandb_run.py", line 393, in wrapper_fn
8
+ return func(self, *args, **kwargs)
9
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^
10
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\wandb_run.py", line 383, in wrapper
11
+ return func(self, *args, **kwargs)
12
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^
13
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\wandb_run.py", line 1895, in log
14
+ self._log(data=data, step=step, commit=commit)
15
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\wandb_run.py", line 1602, in _log
16
+ self._partial_history_callback(data, step, commit)
17
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\wandb_run.py", line 1432, in _partial_history_callback
18
+ self._backend.interface.publish_partial_history(
19
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\sdk\interface\interface.py", line 686, in publish_partial_history
20
+ item.value_json = json_dumps_safer_history(v)
21
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^
22
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\util.py", line 814, in json_dumps_safer_history
23
+ return dumps(obj, cls=WandBHistoryJSONEncoder, **kwargs)
24
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
25
+ File "C:\Users\sfaiz\anaconda3\Lib\json\__init__.py", line 238, in dumps
26
+ **kw).encode(obj)
27
+ ^^^^^^^^^^^
28
+ File "C:\Users\sfaiz\anaconda3\Lib\json\encoder.py", line 200, in encode
29
+ chunks = self.iterencode(o, _one_shot=True)
30
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
31
+ File "C:\Users\sfaiz\anaconda3\Lib\json\encoder.py", line 258, in iterencode
32
+ return _iterencode(o, 0)
33
+ ^^^^^^^^^^^^^^^^^
34
+ File "C:\Users\sfaiz\anaconda3\Lib\site-packages\wandb\util.py", line 779, in default
35
+ return json.JSONEncoder.default(self, obj)
36
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
37
+ File "C:\Users\sfaiz\anaconda3\Lib\json\encoder.py", line 180, in default
38
+ raise TypeError(f'Object of type {o.__class__.__name__} '
39
+ TypeError: Object of type EvaluationResult is not JSON serializable
src/wandb/run-20250119_200518-nuq3jpvh/files/requirements.txt ADDED
@@ -0,0 +1,509 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ absl-py==2.1.0
2
+ ace_tools==0.0
3
+ acres==0.2.0
4
+ aiobotocore==2.12.3
5
+ aiofiles==23.2.1
6
+ aiohappyeyeballs==2.4.0
7
+ aiohttp==3.10.5
8
+ aioitertools==0.7.1
9
+ aiosignal==1.2.0
10
+ alabaster==0.7.16
11
+ altair==5.0.1
12
+ anaconda-anon-usage==0.4.4
13
+ anaconda-catalogs==0.2.0
14
+ anaconda-client==1.12.3
15
+ anaconda-cloud-auth==0.5.1
16
+ anaconda-navigator==2.6.3
17
+ anaconda-project==0.11.1
18
+ annotated-types==0.6.0
19
+ anyio==4.2.0
20
+ appdirs==1.4.4
21
+ archspec==0.2.3
22
+ argon2-cffi==21.3.0
23
+ argon2-cffi-bindings==21.2.0
24
+ arrow==1.2.3
25
+ arxiv==2.1.3
26
+ asgiref==3.8.1
27
+ astroid==2.14.2
28
+ astropy==6.1.3
29
+ astropy-iers-data==0.2024.9.2.0.33.23
30
+ asttokens==2.0.5
31
+ async-lru==2.0.4
32
+ atomicwrites==1.4.0
33
+ attrs==24.2.0
34
+ Automat==20.2.0
35
+ autopep8==2.0.4
36
+ Babel==2.11.0
37
+ backoff==2.2.1
38
+ bcrypt==4.2.1
39
+ beautifulsoup4==4.12.3
40
+ binaryornot==0.4.4
41
+ black==24.8.0
42
+ bleach==4.1.0
43
+ blinker==1.6.2
44
+ bokeh==3.6.0
45
+ boltons==23.0.0
46
+ botocore==1.34.69
47
+ Bottleneck==1.3.7
48
+ Brotli==1.0.9
49
+ build==1.2.2.post1
50
+ CacheControl==0.14.1
51
+ cachetools==5.3.3
52
+ certifi==2024.8.30
53
+ cffi==1.17.1
54
+ chardet==4.0.0
55
+ charset-normalizer==3.3.2
56
+ chromadb==0.5.23
57
+ chroma-hnswlib==0.7.6
58
+ ci-info==0.3.0
59
+ click==8.1.7
60
+ cloudpickle==3.0.0
61
+ colorama==0.4.6
62
+ colorcet==3.1.0
63
+ coloredlogs==15.0.1
64
+ comm==0.2.1
65
+ conda==24.9.2
66
+ conda-build==24.9.0
67
+ conda-content-trust==0.2.0
68
+ conda_index==0.5.0
69
+ conda-libmamba-solver==24.9.0
70
+ conda-pack==0.7.1
71
+ conda-package-handling==2.3.0
72
+ conda_package_streaming==0.10.0
73
+ conda-repo-cli==1.0.114
74
+ conda-token==0.5.0+1.g2209e04
75
+ configobj==5.0.9
76
+ configparser==7.1.0
77
+ constantly==23.10.4
78
+ contourpy==1.2.0
79
+ cookiecutter==2.6.0
80
+ cryptography==43.0.0
81
+ cssselect==1.2.0
82
+ cycler==0.11.0
83
+ cytoolz==0.12.2
84
+ dask==2024.8.2
85
+ dask-expr==1.1.13
86
+ dataclasses-json==0.6.7
87
+ datasets==3.2.0
88
+ datashader==0.16.3
89
+ debugpy==1.6.7
90
+ decorator==5.1.1
91
+ defusedxml==0.7.1
92
+ Deprecated==1.2.15
93
+ diagrams==0.24.1
94
+ diff-match-patch==20200713
95
+ dill==0.3.8
96
+ diskcache==5.6.3
97
+ distributed==2024.8.2
98
+ distro==1.9.0
99
+ docker-pycreds==0.4.0
100
+ docstring-to-markdown==0.11
101
+ docutils==0.18.1
102
+ duckdb==1.1.3
103
+ durationpy==0.9
104
+ etelemetry==0.3.1
105
+ et-xmlfile==1.1.0
106
+ evaluate==0.4.3
107
+ executing==0.8.3
108
+ faiss-cpu==1.9.0.post1
109
+ fastapi==0.115.5
110
+ fastjsonschema==2.16.2
111
+ feedparser==6.0.11
112
+ ffmpy==0.5.0
113
+ filelock==3.13.1
114
+ firebase-admin==6.6.0
115
+ fitz==0.0.1.dev2
116
+ flake8==7.0.0
117
+ Flask==3.0.3
118
+ flatbuffers==24.3.25
119
+ fonttools==4.51.0
120
+ frozendict==2.4.2
121
+ frozenlist==1.4.0
122
+ fsspec==2024.6.1
123
+ gensim==4.3.3
124
+ gitdb==4.0.7
125
+ GitPython==3.1.43
126
+ git-filter-repo==2.47.0
127
+ googleapis-common-protos==1.66.0
128
+ google-api-core==2.23.0
129
+ google-api-python-client==2.154.0
130
+ google-auth==2.36.0
131
+ google-auth-httplib2==0.2.0
132
+ google-cloud-core==2.4.1
133
+ google-cloud-firestore==2.19.0
134
+ google-cloud-storage==2.18.2
135
+ google-crc32c==1.6.0
136
+ google-resumable-media==2.7.2
137
+ gradio==5.12.0
138
+ gradio_client==1.5.4
139
+ graphviz==0.20.3
140
+ greenlet==3.0.1
141
+ grpcio==1.68.1
142
+ grpcio-status==1.68.1
143
+ h11==0.14.0
144
+ h5py==3.11.0
145
+ HeapDict==1.0.1
146
+ holoviews==1.19.1
147
+ httpcore==1.0.2
148
+ httplib2==0.22.0
149
+ httptools==0.6.4
150
+ httpx==0.27.0
151
+ httpx-sse==0.4.0
152
+ huggingface-hub==0.27.1
153
+ humanfriendly==10.0
154
+ hvplot==0.11.0
155
+ hyperlink==21.0.0
156
+ idna==3.7
157
+ imagecodecs==2023.1.23
158
+ imageio==2.33.1
159
+ imagesize==1.4.1
160
+ imbalanced-learn==0.12.3
161
+ importlib-metadata==7.0.1
162
+ importlib_resources==6.4.5
163
+ incremental==22.10.0
164
+ inflection==0.5.1
165
+ iniconfig==1.1.1
166
+ intake==2.0.7
167
+ intervaltree==3.1.0
168
+ ipykernel==6.28.0
169
+ ipython==8.27.0
170
+ ipython-genutils==0.2.0
171
+ ipywidgets==7.8.1
172
+ isodate==0.6.1
173
+ isort==5.13.2
174
+ itemadapter==0.3.0
175
+ itemloaders==1.1.0
176
+ itsdangerous==2.2.0
177
+ jaraco.classes==3.2.1
178
+ jedi==0.19.1
179
+ jellyfish==1.0.1
180
+ Jinja2==3.1.4
181
+ jiter==0.7.1
182
+ jmespath==1.0.1
183
+ joblib==1.4.2
184
+ json5==0.9.6
185
+ jsonpatch==1.33
186
+ jsonpointer==2.1
187
+ jsonschema==4.23.0
188
+ jsonschema-specifications==2023.7.1
189
+ jupyter==1.0.0
190
+ jupyterlab==4.2.5
191
+ jupyterlab-pygments==0.1.2
192
+ jupyterlab_server==2.27.3
193
+ jupyterlab-widgets==1.0.0
194
+ jupyter_client==8.6.0
195
+ jupyter-console==6.6.3
196
+ jupyter_core==5.7.2
197
+ jupyter-events==0.10.0
198
+ jupyter-lsp==2.2.0
199
+ jupyter_server==2.14.1
200
+ jupyter_server_terminals==0.4.4
201
+ keyring==24.3.1
202
+ kiwisolver==1.4.4
203
+ klib==1.3.2
204
+ kubernetes==31.0.0
205
+ langchain==0.3.14
206
+ langchain-community==0.3.14
207
+ langchain-core==0.3.30
208
+ langchain-openai==0.3.1
209
+ langchain-text-splitters==0.3.5
210
+ langsmith==0.2.11
211
+ lazy_loader==0.4
212
+ lazy-object-proxy==1.10.0
213
+ lckr_jupyterlab_variableinspector==3.1.0
214
+ libarchive-c==5.1
215
+ libmambapy==1.5.8
216
+ linkify-it-py==2.0.0
217
+ llvmlite==0.43.0
218
+ lmdb==1.4.1
219
+ locket==1.0.0
220
+ looseversion==1.3.0
221
+ lxml==5.2.1
222
+ lz4==4.3.2
223
+ Markdown==3.4.1
224
+ markdown-it-py==2.2.0
225
+ MarkupSafe==2.1.3
226
+ marshmallow==3.23.1
227
+ matplotlib==3.10.0
228
+ matplotlib-inline==0.1.6
229
+ mccabe==0.7.0
230
+ mdit-py-plugins==0.3.0
231
+ mdurl==0.1.0
232
+ menuinst==2.1.2
233
+ mistune==2.0.4
234
+ mkl_fft==1.3.10
235
+ mkl_random==1.2.7
236
+ mkl-service==2.4.0
237
+ mmh3==5.0.1
238
+ monotonic==1.6
239
+ more-itertools==10.3.0
240
+ mpmath==1.3.0
241
+ msgpack==1.0.3
242
+ multidict==6.0.4
243
+ multipledispatch==0.6.0
244
+ multiprocess==0.70.16
245
+ mypy==1.11.2
246
+ mypy-extensions==1.0.0
247
+ mysql-connector-python==9.1.0
248
+ navigator-updater==0.5.1
249
+ nbclient==0.8.0
250
+ nbconvert==7.16.4
251
+ nbformat==5.10.4
252
+ nest-asyncio==1.6.0
253
+ networkx==3.3
254
+ nibabel==5.3.2
255
+ nipype==1.9.2
256
+ nltk==3.9.1
257
+ notebook==7.2.2
258
+ notebook_shim==0.2.3
259
+ numba==0.60.0
260
+ numexpr==2.8.7
261
+ numpy==1.26.4
262
+ numpydoc==1.7.0
263
+ oauthlib==3.2.2
264
+ onnxruntime==1.20.1
265
+ openai==1.59.8
266
+ openpyxl==3.1.5
267
+ opentelemetry-api==1.28.2
268
+ opentelemetry-exporter-otlp-proto-common==1.28.2
269
+ opentelemetry-exporter-otlp-proto-grpc==1.28.2
270
+ opentelemetry-instrumentation==0.49b2
271
+ opentelemetry-instrumentation-asgi==0.49b2
272
+ opentelemetry-instrumentation-fastapi==0.49b2
273
+ opentelemetry-proto==1.28.2
274
+ opentelemetry-sdk==1.28.2
275
+ opentelemetry-semantic-conventions==0.49b2
276
+ opentelemetry-util-http==0.49b2
277
+ orjson==3.10.12
278
+ outcome==1.3.0.post0
279
+ overrides==7.4.0
280
+ packaging==23.2
281
+ pandas==2.2.3
282
+ pandocfilters==1.5.0
283
+ panel==1.5.2
284
+ param==2.1.1
285
+ paramiko==2.8.1
286
+ parsel==1.8.1
287
+ parso==0.8.3
288
+ partd==1.4.1
289
+ pathlib==1.0.1
290
+ pathspec==0.10.3
291
+ patsy==0.5.6
292
+ pexpect==4.8.0
293
+ pickleshare==0.7.5
294
+ pillow==10.4.0
295
+ pip==24.3.1
296
+ pkce==1.0.3
297
+ pkginfo==1.10.0
298
+ platformdirs==3.10.0
299
+ plotly==5.24.1
300
+ pluggy==1.0.0
301
+ ply==3.11
302
+ posthog==3.7.3
303
+ prometheus-client==0.14.1
304
+ prompt-toolkit==3.0.43
305
+ Protego==0.1.16
306
+ protobuf==5.28.3
307
+ proto-plus==1.25.0
308
+ prov==2.0.1
309
+ psutil==5.9.0
310
+ ptyprocess==0.7.0
311
+ pulsar-client==3.5.0
312
+ puremagic==1.28
313
+ pure-eval==0.2.2
314
+ pyarrow==16.1.0
315
+ pyasn1==0.4.8
316
+ pyasn1-modules==0.2.8
317
+ pycodestyle==2.11.1
318
+ pycosat==0.6.6
319
+ pycparser==2.21
320
+ pyct==0.5.0
321
+ pycurl==7.45.3
322
+ pydantic==2.10.5
323
+ pydantic_core==2.27.2
324
+ pydantic-settings==2.6.1
325
+ pydeck==0.8.0
326
+ PyDispatcher==2.0.5
327
+ pydocstyle==6.3.0
328
+ pydot==3.0.4
329
+ pydub==0.25.1
330
+ pyerfa==2.0.1.4
331
+ pyflakes==3.2.0
332
+ Pygments==2.15.1
333
+ PyJWT==2.8.0
334
+ pylint==2.16.2
335
+ pylint-venv==3.0.3
336
+ pyls-spyder==0.4.0
337
+ PyMuPDF==1.25.2
338
+ PyNaCl==1.5.0
339
+ pyodbc==5.1.0
340
+ pyOpenSSL==24.2.1
341
+ pyparsing==3.1.2
342
+ pypdf==3.17.4
343
+ PyPDF2==3.0.1
344
+ PyPika==0.48.9
345
+ pyproject_hooks==1.2.0
346
+ pyprojroot==0.3.0
347
+ PyQt5==5.15.10
348
+ PyQt5-sip==12.13.0
349
+ PyQtWebEngine==5.15.6
350
+ pyreadline3==3.5.4
351
+ pysbd==0.3.4
352
+ PySocks==1.7.1
353
+ pytest==7.4.4
354
+ python-dateutil==2.9.0.post0
355
+ python-dotenv==0.21.0
356
+ python-json-logger==2.0.7
357
+ python-lsp-black==2.0.0
358
+ python-lsp-jsonrpc==1.1.2
359
+ python-lsp-server==1.10.0
360
+ python-multipart==0.0.20
361
+ python-slugify==5.0.2
362
+ pytoolconfig==1.2.6
363
+ pytz==2024.1
364
+ pyviz_comms==3.0.2
365
+ PyWavelets==1.7.0
366
+ pywin32==305.1
367
+ pywin32-ctypes==0.2.2
368
+ pywinpty==2.0.10
369
+ pyxnat==1.6.2
370
+ PyYAML==6.0.1
371
+ pyzmq==25.1.2
372
+ py-cpuinfo==9.0.0
373
+ QDarkStyle==3.2.3
374
+ qstylizer==0.2.2
375
+ QtAwesome==1.3.1
376
+ qtconsole==5.5.1
377
+ QtPy==2.4.1
378
+ queuelib==1.6.2
379
+ ragas==0.2.11
380
+ rdflib==6.3.2
381
+ referencing==0.30.2
382
+ regex==2024.9.11
383
+ requests==2.32.3
384
+ requests-file==1.5.1
385
+ requests-oauthlib==2.0.0
386
+ requests-toolbelt==1.0.0
387
+ rfc3339-validator==0.1.4
388
+ rfc3986-validator==0.1.1
389
+ rich==13.7.1
390
+ rope==1.12.0
391
+ rouge_score==0.1.2
392
+ rpds-py==0.10.6
393
+ rsa==4.9
394
+ Rtree==1.0.1
395
+ ruamel.yaml==0.18.6
396
+ ruamel.yaml.clib==0.2.8
397
+ ruamel-yaml-conda==0.17.21
398
+ ruff==0.9.2
399
+ s3fs==2024.6.1
400
+ safehttpx==0.1.6
401
+ safetensors==0.4.5
402
+ scikit-image==0.24.0
403
+ scikit-learn==1.5.1
404
+ scipy==1.13.1
405
+ Scrapy==2.11.1
406
+ screeninfo==0.8.1
407
+ seaborn==0.13.2
408
+ selenium==4.27.1
409
+ semantic-version==2.10.0
410
+ semver==3.0.2
411
+ Send2Trash==1.8.2
412
+ sentence-transformers==3.3.1
413
+ sentry-sdk==2.20.0
414
+ service-identity==18.1.0
415
+ setproctitle==1.3.4
416
+ setuptools==75.1.0
417
+ sgmllib3k==1.0.0
418
+ shellingham==1.5.4
419
+ simplejson==3.19.3
420
+ sip==6.7.12
421
+ six==1.16.0
422
+ smart-open==5.2.1
423
+ smmap==4.0.0
424
+ sniffio==1.3.0
425
+ snowballstemmer==2.2.0
426
+ sortedcontainers==2.4.0
427
+ soupsieve==2.5
428
+ Sphinx==7.3.7
429
+ sphinxcontrib-applehelp==1.0.2
430
+ sphinxcontrib-devhelp==1.0.2
431
+ sphinxcontrib-htmlhelp==2.0.0
432
+ sphinxcontrib-jsmath==1.0.1
433
+ sphinxcontrib-qthelp==1.0.3
434
+ sphinxcontrib-serializinghtml==1.1.10
435
+ spyder==5.5.1
436
+ spyder-kernels==2.5.0
437
+ SQLAlchemy==2.0.34
438
+ stack-data==0.2.0
439
+ starlette==0.41.3
440
+ statsmodels==0.14.2
441
+ streamlit==1.40.2
442
+ summarytools==0.3.0
443
+ sweetviz==2.3.1
444
+ sympy==1.13.1
445
+ tables==3.10.1
446
+ tabulate==0.9.0
447
+ tblib==1.7.0
448
+ tenacity==8.2.3
449
+ terminado==0.17.1
450
+ textdistance==4.2.1
451
+ text-unidecode==1.3
452
+ threadpoolctl==3.5.0
453
+ three-merge==0.1.1
454
+ tifffile==2023.4.12
455
+ tiktoken==0.8.0
456
+ tinycss2==1.2.1
457
+ tldextract==5.1.2
458
+ tokenizers==0.20.3
459
+ toml==0.10.2
460
+ tomli==2.0.1
461
+ tomlkit==0.12.0
462
+ toolz==0.12.0
463
+ torch==2.5.1
464
+ tornado==6.4.1
465
+ tqdm==4.67.1
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+ Traceback (most recent call last):
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+ File "C:\Users\sfaiz\OneDrive\Desktop\Mudassir Sir Projects\First Aid App\src\eval.py", line 182, in <module>
3
+ basic_qa_result_dict = {metric: float(value) for metric, value in basic_qa_result.scores.items()}
4
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
5
+ AttributeError: 'list' object has no attribute 'items'