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SaiBon99 commited on
Commit
21065ad
·
1 Parent(s): 57f894a

update dependencies and refactor model loading in Gradio chat interface

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Files changed (6) hide show
  1. .gitignore +0 -0
  2. .idea/.gitignore +10 -0
  3. app.py +103 -47
  4. pyproject.toml +4 -1
  5. requirements.txt +4 -1
  6. uv.lock +511 -19
.gitignore ADDED
File without changes
.idea/.gitignore CHANGED
@@ -6,3 +6,13 @@
6
  # Datasource local storage ignored files
7
  /dataSources/
8
  /dataSources.local.xml
 
 
 
 
 
 
 
 
 
 
 
6
  # Datasource local storage ignored files
7
  /dataSources/
8
  /dataSources.local.xml
9
+ /modules.xml
10
+ /copilot.data.migration.agent.xml
11
+ /copilot.data.migration.ask.xml
12
+ /copilot.data.migration.ask2agent.xml
13
+ /copilot.data.migration.edit.xml
14
+ /Iris.iml
15
+ /misc.xml
16
+ /inspectionProfiles/profiles_settings.xml
17
+ /inspectionProfiles/Project_Default.xml
18
+ /vcs.xml
app.py CHANGED
@@ -1,80 +1,134 @@
1
  import gradio as gr
2
- from llama_cpp import Llama
3
- from huggingface_hub import hf_hub_download
4
- import os
5
 
6
  # Configuration
7
- MODEL_REPO = "SaiBon99/llama-finetuned-gguf"
8
- MODEL_FILE = "model.gguf"
 
 
 
 
9
 
10
- print(f"Downloading model from {MODEL_REPO}...")
11
 
12
  try:
13
- # Download the GGUF model file from HuggingFace
14
- model_path = hf_hub_download(
15
- repo_id=MODEL_REPO,
16
- filename=MODEL_FILE,
17
- repo_type="model"
18
- )
19
- print(f"Model downloaded to: {model_path}")
20
-
21
- # Load the model with llama-cpp-python
22
- print("Loading model into memory...")
23
- llm = Llama(
24
- model_path=model_path,
25
- n_ctx=2048, # Context window
26
- n_threads=4, # Number of CPU threads
27
- n_gpu_layers=0, # Set to 0 for CPU, increase for GPU
28
- verbose=False,
29
  )
30
- print("Model loaded successfully!")
 
 
 
 
31
 
32
  except Exception as e:
33
- print(f"Error loading model: {e}")
34
- llm = None
 
 
35
 
36
  def chat(message, history):
37
  """
38
  Chat function that takes a message and chat history,
39
  and returns the model's response.
40
  """
41
- if llm is None:
 
42
  return "Error: Model failed to load. Please check the logs."
43
 
44
- # Build the conversation in Llama 3 chat format
45
- conversation = "<|begin_of_text|>"
46
 
 
 
 
 
47
  if history:
48
- for user_msg, bot_msg in history:
49
- conversation += f"<|start_header_id|>user<|end_header_id|>\n\n{user_msg}<|eot_id|>"
50
- conversation += f"<|start_header_id|>assistant<|end_header_id|>\n\n{bot_msg}<|eot_id|>"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
51
 
52
- # Add the current message
53
- conversation += f"<|start_header_id|>user<|end_header_id|>\n\n{message}<|eot_id|>"
54
- conversation += "<|start_header_id|>assistant<|end_header_id|>\n\n"
 
55
 
56
  # Generate response
57
  try:
58
- response = llm(
59
- conversation,
60
- max_tokens=512,
61
- temperature=0.7,
62
- top_p=0.9,
63
- repeat_penalty=1.1,
64
- stop=["<|eot_id|>", "<|start_header_id|>"],
65
- echo=False
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
66
  )
67
 
68
- return response['choices'][0]['text'].strip()
 
69
 
70
- except Exception as e:
71
- return f"Error generating response: {str(e)}"
 
 
72
 
73
  # Create Gradio ChatInterface
74
  demo = gr.ChatInterface(
75
  fn=chat,
76
  title="Llama 3.2 3B Fine-tuned Chat",
77
- description=f"Chat with Llama 3.2 3B fine-tuned on FineTome-100k dataset (GGUF format)\n\nModel: `{MODEL_REPO}`",
78
  examples=[
79
  "Explain what boolean operators are and how they work in programming.",
80
  "What is the difference between short-circuit evaluation and normal evaluation?",
@@ -84,4 +138,6 @@ demo = gr.ChatInterface(
84
  )
85
 
86
  if __name__ == "__main__":
87
- demo.launch(server_name="0.0.0.0", server_port=7860)
 
 
 
1
  import gradio as gr
2
+ from transformers import AutoTokenizer, AutoModelForCausalLM
3
+ import torch
4
+ from loguru import logger
5
 
6
  # Configuration
7
+ # Using an open-access model that doesn't require authentication
8
+ # Options:
9
+ # 1. "HuggingFaceTB/SmolLM2-1.7B-Instruct" - Small, fast, no auth required
10
+ # 2. "meta-llama/Llama-3.2-3B-Instruct" - Better quality but requires HF login
11
+ # 3. "mistralai/Mistral-7B-Instruct-v0.3" - Larger, better quality
12
+ MODEL_REPO = "SaiBon99/llama-finetuned-finetome"
13
 
14
+ logger.info(f"Loading model from {MODEL_REPO}...")
15
 
16
  try:
17
+ # Load tokenizer
18
+ logger.info("Loading tokenizer...")
19
+ tokenizer = AutoTokenizer.from_pretrained(MODEL_REPO)
20
+ logger.success(f"Tokenizer loaded successfully (vocab size: {tokenizer.vocab_size})")
21
+
22
+ # Load the model for CPU inference
23
+ logger.info("Loading model into memory (this may take a few minutes)...")
24
+ model = AutoModelForCausalLM.from_pretrained(
25
+ MODEL_REPO,
26
+ dtype=torch.float32, # Use float32 for CPU, or bfloat16 to save memory
27
+ device_map="cpu",
28
+ low_cpu_mem_usage=True,
 
 
 
 
29
  )
30
+
31
+ # Set to evaluation mode
32
+ model.eval()
33
+ param_count = sum(p.numel() for p in model.parameters())
34
+ logger.success(f"Model loaded successfully! Parameters: {param_count:,}")
35
 
36
  except Exception as e:
37
+ logger.error(f"Error loading model: {e}")
38
+ logger.exception("Full traceback:")
39
+ model = None
40
+ tokenizer = None
41
 
42
  def chat(message, history):
43
  """
44
  Chat function that takes a message and chat history,
45
  and returns the model's response.
46
  """
47
+ if model is None or tokenizer is None:
48
+ logger.error("No model or tokenizer loaded!")
49
  return "Error: Model failed to load. Please check the logs."
50
 
51
+ logger.info(f"Received message: {message[:100]}..." if len(message) > 100 else f"Received message: {message}")
 
52
 
53
+ # Build the conversation using the chat template
54
+ messages = []
55
+
56
+ # Add history
57
  if history:
58
+ logger.debug(f"Chat history has {len(history)} previous messages")
59
+ logger.info(f'history: {history}')
60
+
61
+ # Handle the new Gradio format where history is a list of message dictionaries
62
+ for msg in history:
63
+ role = msg.get('role', 'user')
64
+
65
+ # Extract text content from the message
66
+ content = msg.get('content', [])
67
+ if isinstance(content, list):
68
+ # Content is a list of content items, extract text from the first text item
69
+ content_text = ""
70
+ for item in content:
71
+ if isinstance(item, dict) and item.get('type') == 'text':
72
+ content_text = item.get('text', '')
73
+ break
74
+ else:
75
+ # Fallback if content is already a string
76
+ content_text = content
77
 
78
+ messages.append({"role": role, "content": content_text})
79
+
80
+ # Add current message
81
+ messages.append({"role": "user", "content": message})
82
 
83
  # Generate response
84
  try:
85
+ # Apply chat template and tokenize
86
+ logger.debug("Applying chat template...")
87
+ input_text = tokenizer.apply_chat_template(
88
+ messages,
89
+ tokenize=False,
90
+ add_generation_prompt=True
91
+ )
92
+ inputs = tokenizer(input_text, return_tensors="pt")
93
+ input_length = inputs['input_ids'].shape[1]
94
+ logger.info(f"Input tokens: {input_length}")
95
+
96
+ # Generate
97
+ logger.info("Generating response...")
98
+ with torch.no_grad():
99
+ outputs = model.generate(
100
+ **inputs,
101
+ max_new_tokens=512,
102
+ temperature=0.7,
103
+ top_p=0.9,
104
+ repetition_penalty=1.1,
105
+ do_sample=True,
106
+ pad_token_id=tokenizer.eos_token_id,
107
+ )
108
+
109
+ # Decode only the new tokens
110
+ output_length = outputs.shape[1]
111
+ tokens_generated = output_length - input_length
112
+ logger.info(f"Generated {tokens_generated} new tokens")
113
+
114
+ response = tokenizer.decode(
115
+ outputs[0][input_length:],
116
+ skip_special_tokens=True
117
  )
118
 
119
+ logger.success(f"Response generated successfully: {response[:100]}..." if len(response) > 100 else f"Response: {response}")
120
+ return response.strip()
121
 
122
+ except Exception as ex:
123
+ logger.error(f"Error generating response: {str(ex)}")
124
+ logger.exception("Full traceback:")
125
+ return f"Error generating response: {str(ex)}"
126
 
127
  # Create Gradio ChatInterface
128
  demo = gr.ChatInterface(
129
  fn=chat,
130
  title="Llama 3.2 3B Fine-tuned Chat",
131
+ description=f"Chat with Llama 3.2 3B using Hugging Face Transformers (CPU inference)\n\nModel: `{MODEL_REPO}`",
132
  examples=[
133
  "Explain what boolean operators are and how they work in programming.",
134
  "What is the difference between short-circuit evaluation and normal evaluation?",
 
138
  )
139
 
140
  if __name__ == "__main__":
141
+ logger.info("Starting Gradio interface...")
142
+ demo.launch(server_name="0.0.0.0") # Let Gradio auto-select available port
143
+ logger.info("Gradio interface launched successfully")
pyproject.toml CHANGED
@@ -5,7 +5,10 @@ description = "Add your description here"
5
  readme = "README.md"
6
  requires-python = ">=3.13"
7
  dependencies = [
 
8
  "gradio>=6.0.1",
9
- "llama-cpp-python>=0.2.0",
10
  "huggingface_hub>=0.20.0",
 
 
 
11
  ]
 
5
  readme = "README.md"
6
  requires-python = ">=3.13"
7
  dependencies = [
8
+ "accelerate>=1.12.0",
9
  "gradio>=6.0.1",
 
10
  "huggingface_hub>=0.20.0",
11
+ "loguru>=0.7.3",
12
+ "torch>=2.9.1",
13
+ "transformers>=4.57.3",
14
  ]
requirements.txt CHANGED
@@ -1,3 +1,6 @@
1
  gradio>=6.0.1
2
- llama-cpp-python>=0.2.0
 
 
3
  huggingface_hub>=0.20.0
 
 
1
  gradio>=6.0.1
2
+ transformers>=4.45.0
3
+ torch>=2.0.0
4
+ accelerate>=0.20.0
5
  huggingface_hub>=0.20.0
6
+ loguru>=0.7.0
uv.lock CHANGED
@@ -2,6 +2,24 @@ version = 1
2
  revision = 3
3
  requires-python = ">=3.13"
4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  [[package]]
6
  name = "aiofiles"
7
  version = "24.1.0"
@@ -135,6 +153,47 @@ wheels = [
135
  { url = "https://files.pythonhosted.org/packages/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438, upload-time = "2025-11-12T02:54:49.735Z" },
136
  ]
137
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
138
  [[package]]
139
  name = "click"
140
  version = "8.3.1"
@@ -330,23 +389,21 @@ wheels = [
330
 
331
  [[package]]
332
  name = "huggingface-hub"
333
- version = "1.1.6"
334
  source = { registry = "https://pypi.org/simple" }
335
  dependencies = [
336
  { name = "filelock" },
337
  { name = "fsspec" },
338
- { name = "hf-xet", marker = "platform_machine == 'AMD64' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'" },
339
- { name = "httpx" },
340
  { name = "packaging" },
341
  { name = "pyyaml" },
342
- { name = "shellingham" },
343
  { name = "tqdm" },
344
- { name = "typer-slim" },
345
  { name = "typing-extensions" },
346
  ]
347
- sdist = { url = "https://files.pythonhosted.org/packages/4c/08/dc669fa8c7267752ce2d536683436f0c46661aca45e9450c635a365ca2df/huggingface_hub-1.1.6.tar.gz", hash = "sha256:e1beacb611d74a8189b4c5298e8675fb518256af73b38143171f6efa7d822cf6", size = 607477, upload-time = "2025-11-28T10:23:35.223Z" }
348
  wheels = [
349
- { url = "https://files.pythonhosted.org/packages/c2/3c/168062db8c0068315ed3f137db450869eb14d98f00144234c118f294b461/huggingface_hub-1.1.6-py3-none-any.whl", hash = "sha256:09726c4fc4c0dc5d83568234daff1ccb815c39b310784359c9d8b5906f679de2", size = 516110, upload-time = "2025-11-28T10:23:33.63Z" },
350
  ]
351
 
352
  [[package]]
@@ -363,11 +420,23 @@ name = "iris"
363
  version = "0.1.0"
364
  source = { virtual = "." }
365
  dependencies = [
 
366
  { name = "gradio" },
 
 
 
 
367
  ]
368
 
369
  [package.metadata]
370
- requires-dist = [{ name = "gradio", specifier = ">=6.0.1" }]
 
 
 
 
 
 
 
371
 
372
  [[package]]
373
  name = "jinja2"
@@ -381,6 +450,19 @@ wheels = [
381
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382
  ]
383
 
 
 
 
 
 
 
 
 
 
 
 
 
 
384
  [[package]]
385
  name = "markdown-it-py"
386
  version = "4.0.0"
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454
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455
  ]
456
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
457
  [[package]]
458
  name = "numpy"
459
  version = "2.3.5"
@@ -506,6 +606,140 @@ wheels = [
506
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507
  ]
508
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
509
  [[package]]
510
  name = "orjson"
511
  version = "3.11.4"
@@ -651,6 +885,32 @@ wheels = [
651
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652
  ]
653
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
654
  [[package]]
655
  name = "pydantic"
656
  version = "2.12.4"
@@ -803,6 +1063,85 @@ wheels = [
803
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804
  ]
805
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
806
  [[package]]
807
  name = "rich"
808
  version = "14.2.0"
@@ -828,6 +1167,28 @@ wheels = [
828
  { url = "https://files.pythonhosted.org/packages/2e/a3/0f0b7d78e2f1eb9e8e1afbff1d2bff8d60144aee17aca51c065b516743dd/safehttpx-0.1.7-py3-none-any.whl", hash = "sha256:c4f4a162db6993464d7ca3d7cc4af0ffc6515a606dfd220b9f82c6945d869cde", size = 8959, upload-time = "2025-10-24T18:30:08.733Z" },
829
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830
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
831
  [[package]]
832
  name = "semantic-version"
833
  version = "2.10.0"
@@ -837,6 +1198,15 @@ wheels = [
837
  { url = "https://files.pythonhosted.org/packages/6a/23/8146aad7d88f4fcb3a6218f41a60f6c2d4e3a72de72da1825dc7c8f7877c/semantic_version-2.10.0-py2.py3-none-any.whl", hash = "sha256:de78a3b8e0feda74cabc54aab2da702113e33ac9d9eb9d2389bcf1f58b7d9177", size = 15552, upload-time = "2022-05-26T13:35:21.206Z" },
838
  ]
839
 
 
 
 
 
 
 
 
 
 
840
  [[package]]
841
  name = "shellingham"
842
  version = "1.5.4"
@@ -876,6 +1246,43 @@ wheels = [
876
  { url = "https://files.pythonhosted.org/packages/d9/52/1064f510b141bd54025f9b55105e26d1fa970b9be67ad766380a3c9b74b0/starlette-0.50.0-py3-none-any.whl", hash = "sha256:9e5391843ec9b6e472eed1365a78c8098cfceb7a74bfd4d6b1c0c0095efb3bca", size = 74033, upload-time = "2025-11-01T15:25:25.461Z" },
877
  ]
878
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
879
  [[package]]
880
  name = "tomlkit"
881
  version = "0.13.3"
@@ -885,6 +1292,54 @@ wheels = [
885
  { url = "https://files.pythonhosted.org/packages/bd/75/8539d011f6be8e29f339c42e633aae3cb73bffa95dd0f9adec09b9c58e85/tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0", size = 38901, upload-time = "2025-06-05T07:13:43.546Z" },
886
  ]
887
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
888
  [[package]]
889
  name = "tqdm"
890
  version = "4.67.1"
@@ -898,31 +1353,50 @@ wheels = [
898
  ]
899
 
900
  [[package]]
901
- name = "typer"
902
- version = "0.20.0"
903
  source = { registry = "https://pypi.org/simple" }
904
  dependencies = [
905
- { name = "click" },
906
- { name = "rich" },
907
- { name = "shellingham" },
908
- { name = "typing-extensions" },
 
 
 
 
 
 
909
  ]
910
- sdist = { url = "https://files.pythonhosted.org/packages/8f/28/7c85c8032b91dbe79725b6f17d2fffc595dff06a35c7a30a37bef73a1ab4/typer-0.20.0.tar.gz", hash = "sha256:1aaf6494031793e4876fb0bacfa6a912b551cf43c1e63c800df8b1a866720c37", size = 106492, upload-time = "2025-10-20T17:03:49.445Z" }
911
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398
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1429
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