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.gitignore ADDED
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+ # Byte-compiled / optimized / DLL files
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+ {
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+ "folders": [
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+ {
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+ "path": "."
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+ }
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+ ],
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+ "settings": {
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+ "python.pythonPath": "./.venv/Scripts/python",
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+ "python.terminal.activateEnvironment": true,
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+ "terminal.integrated.defaultProfile.windows": "Command Prompt",
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+ "terminal.integrated.profiles.windows": {
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+ "Command Prompt": {
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+ "path": "cmd.exe",
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+ "args": ["/k", "${workspaceFolder}\\.venv\\Scripts\\activate.bat"]
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+ "terminal.integrated.env.windows": {
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data/Fact1.png ADDED
data/Factura-664159569.pdf ADDED
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data/Factura-Vodafone_03.05.pdf ADDED
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data/Flowchart.jpeg ADDED
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data/bill_text.txt ADDED
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1
+ Factură seria FX nr. 24107160858 din data de 18.11.2024
2
+ Furnizor
3
+ SPEEH HIDROELECTRICA SA
4
+ Societate administrată în sistem dualist
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+ Adresa: Bucuresti , B-dul Ion Mihalache nr. 15-17 ,cod postal 011171 .
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+ CIF: RO13267213, Nr. inreg. RC: J40/7426/2000
7
+ Cont Bancar: RO63RNCB 0072 0183 3187 0495
8
+ Banca: BCR
9
+ Capital social: 4.498.025.670 Lei
10
+ Centru de relații cu clienții: București, B-dul Ion Mihalache, nr. 15-17,
11
+ sector 1, cod poștal 011171
12
+ Program centrul de relații cu clienții: luni - joi, orele 10 - 14
13
+ Client TICA SERBAN-GEORGE
14
+ Adresa: Strada (N/A),8, bl. 17, sc. 1, et. 2, ap. 10
15
+ Loc. BUCURESTI SECTORUL 4, jud./sect. Bucureşti
16
+ Cod poștal 040023
17
+ Cod Client:9900471492
18
+ Cod Cont Contract:8000653635
19
+ Număr contract / data contract / data încetare
20
+ 2022.3293.2183 / 13.12.2022 / 16.12.2025
21
+ Ofertă client casnic: Viitor verde
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+ Produse Valoare
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+ Perioadă de facturare:
24
+ 28.09.2024 - 31.10.2024 1 Valoare facturată fără TVA (conform "Detalii factură") 135,96 lei
25
+ 2 Total bază de impozitare TVA (19%) 135,96 lei
26
+ Data scadență:
27
+ 3 TVA 19% (3=2*19%) 25,83 lei
28
+ 03.01.2025
29
+ 4 Dobânzi penalizatoare 3,59 lei
30
+ 5 TOTAL DE PLATĂ FACTURĂ CURENTĂ (5=1+3+4) 165,38 lei
31
+ (conform "Detalii factură")
32
+ 6 Sold Cont Contract la data emiterii facturii (facturi 577,61 lei
33
+ restante sau creditate)
34
+ 7 Compensatii Aplicare ORD.46/2021 -30,00 lei
35
+ 8 TOTAL DE PLATĂ CONT CONTRACT (8=5+6+7) 712,99 lei
36
+ 9 Consum Energie Activă în perioada de facturare 211,00 kWh
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+ 10Preţ final facturat energie electrică activă 0,77 lei/kWh
38
+ Cod de bare pentru factura curent:ă 135.38 lei
data/gitignore.png ADDED
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+ {"bills": [{"Sold precedent": "precedent", "Servicii utilizate": "utilizate", "TVA": "19.00%"}, {"Sold precedent": "precedent", "Servicii utilizate": "utilizate", "TVA": "19.00%"}, {"Sold precedent": "precedent", "Total platit din sold precedent": "precedent", "Servicii utilizate": "utilizate", "TVA": "19.00%"}, {"Sold precedent": "precedent", "Total platit din sold precedent": "precedent", "Abonamente si extraop\u00feiuni": "Abonamentele", "Servicii utilizate": "Servicii", "TVA": "19.00%"}, {"Sold precedent": "precedent", "Total platit din sold precedent": "precedent", "Abonamente si extraopiuni": "Abonamentele", "Servicii utilizate": "Servicii", "TVA": "19.00%"}]}
data/web_demo.py ADDED
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1
+ # Copyright (c) Alibaba Cloud.
2
+ #
3
+ # This source code is licensed under the license found in the
4
+ # LICENSE file in the root directory of this source tree.
5
+
6
+ """A simple web interactive chat demo based on gradio."""
7
+
8
+ from argparse import ArgumentParser
9
+ from threading import Thread
10
+
11
+ import gradio as gr
12
+ import torch
13
+ from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
14
+
15
+ DEFAULT_CKPT_PATH = "Qwen/Qwen2.5-7B-Instruct"
16
+
17
+
18
+ def _get_args():
19
+ parser = ArgumentParser(description="Qwen2.5-Instruct web chat demo.")
20
+ parser.add_argument(
21
+ "-c",
22
+ "--checkpoint-path",
23
+ type=str,
24
+ default=DEFAULT_CKPT_PATH,
25
+ help="Checkpoint name or path, default to %(default)r",
26
+ )
27
+ parser.add_argument(
28
+ "--cpu-only", action="store_true", help="Run demo with CPU only"
29
+ )
30
+
31
+ parser.add_argument(
32
+ "--share",
33
+ action="store_true",
34
+ default=False,
35
+ help="Create a publicly shareable link for the interface.",
36
+ )
37
+ parser.add_argument(
38
+ "--inbrowser",
39
+ action="store_true",
40
+ default=False,
41
+ help="Automatically launch the interface in a new tab on the default browser.",
42
+ )
43
+ parser.add_argument(
44
+ "--server-port", type=int, default=8000, help="Demo server port."
45
+ )
46
+ parser.add_argument(
47
+ "--server-name", type=str, default="127.0.0.1", help="Demo server name."
48
+ )
49
+
50
+ args = parser.parse_args()
51
+ return args
52
+
53
+
54
+ def _load_model_tokenizer(args):
55
+ tokenizer = AutoTokenizer.from_pretrained(
56
+ args.checkpoint_path,
57
+ resume_download=True,
58
+ )
59
+
60
+ if args.cpu_only:
61
+ device_map = "cpu"
62
+ else:
63
+ device_map = "auto"
64
+
65
+ model = AutoModelForCausalLM.from_pretrained(
66
+ args.checkpoint_path,
67
+ torch_dtype="auto",
68
+ device_map=device_map,
69
+ resume_download=True,
70
+ ).eval()
71
+ model.generation_config.max_new_tokens = 2048 # For chat.
72
+
73
+ return model, tokenizer
74
+
75
+
76
+ def _chat_stream(model, tokenizer, query, history):
77
+ conversation = []
78
+ for query_h, response_h in history:
79
+ conversation.append({"role": "user", "content": query_h})
80
+ conversation.append({"role": "assistant", "content": response_h})
81
+ conversation.append({"role": "user", "content": query})
82
+ input_text = tokenizer.apply_chat_template(
83
+ conversation,
84
+ add_generation_prompt=True,
85
+ tokenize=False,
86
+ )
87
+ inputs = tokenizer([input_text], return_tensors="pt").to(model.device)
88
+ streamer = TextIteratorStreamer(
89
+ tokenizer=tokenizer, skip_prompt=True, timeout=60.0, skip_special_tokens=True
90
+ )
91
+ generation_kwargs = {
92
+ **inputs,
93
+ "streamer": streamer,
94
+ }
95
+ thread = Thread(target=model.generate, kwargs=generation_kwargs)
96
+ thread.start()
97
+
98
+ for new_text in streamer:
99
+ yield new_text
100
+
101
+
102
+ def _gc():
103
+ import gc
104
+
105
+ gc.collect()
106
+ if torch.cuda.is_available():
107
+ torch.cuda.empty_cache()
108
+
109
+
110
+ def _launch_demo(args, model, tokenizer):
111
+ def predict(_query, _chatbot, _task_history):
112
+ print(f"User: {_query}")
113
+ _chatbot.append((_query, ""))
114
+ full_response = ""
115
+ response = ""
116
+ for new_text in _chat_stream(model, tokenizer, _query, history=_task_history):
117
+ response += new_text
118
+ _chatbot[-1] = (_query, response)
119
+
120
+ yield _chatbot
121
+ full_response = response
122
+
123
+ print(f"History: {_task_history}")
124
+ _task_history.append((_query, full_response))
125
+ print(f"Qwen: {full_response}")
126
+
127
+ def regenerate(_chatbot, _task_history):
128
+ if not _task_history:
129
+ yield _chatbot
130
+ return
131
+ item = _task_history.pop(-1)
132
+ _chatbot.pop(-1)
133
+ yield from predict(item[0], _chatbot, _task_history)
134
+
135
+ def reset_user_input():
136
+ return gr.update(value="")
137
+
138
+ def reset_state(_chatbot, _task_history):
139
+ _task_history.clear()
140
+ _chatbot.clear()
141
+ _gc()
142
+ return _chatbot
143
+
144
+ with gr.Blocks() as demo:
145
+ gr.Markdown("""\
146
+ <p align="center"><img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/assets/logo/qwen2.5_logo.png" style="height: 120px"/><p>""")
147
+ gr.Markdown(
148
+ """\
149
+ <center><font size=3>This WebUI is based on Qwen2.5-Instruct, developed by Alibaba Cloud. \
150
+ (本WebUI基于Qwen2.5-Instruct打造,实现聊天机器人功能。)</center>"""
151
+ )
152
+ gr.Markdown("""\
153
+ <center><font size=4>
154
+ Qwen2.5-7B-Instruct <a href="https://modelscope.cn/models/qwen/Qwen2.5-7B-Instruct/summary">🤖 </a> |
155
+ <a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">🤗</a>&nbsp |
156
+ Qwen2.5-32B-Instruct <a href="https://modelscope.cn/models/qwen/Qwen2.5-32B-Instruct/summary">🤖 </a> |
157
+ <a href="https://huggingface.co/Qwen/Qwen2.5-32B-Instruct">🤗</a>&nbsp |
158
+ Qwen2.5-72B-Instruct <a href="https://modelscope.cn/models/qwen/Qwen2.5-72B-Instruct/summary">🤖 </a> |
159
+ <a href="https://huggingface.co/Qwen/Qwen2.5-72B-Instruct">🤗</a>&nbsp |
160
+ &nbsp<a href="https://github.com/QwenLM/Qwen2.5">Github</a></center>""")
161
+
162
+ chatbot = gr.Chatbot(label="Qwen", elem_classes="control-height")
163
+ query = gr.Textbox(lines=2, label="Input")
164
+ task_history = gr.State([])
165
+
166
+ with gr.Row():
167
+ empty_btn = gr.Button("🧹 Clear History (清除历史)")
168
+ submit_btn = gr.Button("🚀 Submit (发送)")
169
+ regen_btn = gr.Button("🤔️ Regenerate (重试)")
170
+
171
+ submit_btn.click(
172
+ predict, [query, chatbot, task_history], [chatbot], show_progress=True
173
+ )
174
+ submit_btn.click(reset_user_input, [], [query])
175
+ empty_btn.click(
176
+ reset_state, [chatbot, task_history], outputs=[chatbot], show_progress=True
177
+ )
178
+ regen_btn.click(
179
+ regenerate, [chatbot, task_history], [chatbot], show_progress=True
180
+ )
181
+
182
+ gr.Markdown("""\
183
+ <font size=2>Note: This demo is governed by the original license of Qwen2.5. \
184
+ We strongly advise users not to knowingly generate or allow others to knowingly generate harmful content, \
185
+ including hate speech, violence, pornography, deception, etc. \
186
+ (注:本演示受Qwen2.5的许可协议限制。我们强烈建议,用户不应传播及不应允许他人传播以下内容,\
187
+ 包括但不限于仇恨言论、暴力、色情、欺诈相关的有害信息。)""")
188
+
189
+ demo.queue().launch(
190
+ share=args.share,
191
+ inbrowser=args.inbrowser,
192
+ server_port=args.server_port,
193
+ server_name=args.server_name,
194
+ )
195
+
196
+
197
+ def main():
198
+ args = _get_args()
199
+
200
+ model, tokenizer = _load_model_tokenizer(args)
201
+
202
+ _launch_demo(args, model, tokenizer)
203
+
204
+
205
+ if __name__ == "__main__":
206
+ main()
requirements.txt ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ altair==5.5.0
2
+ annotated-types==0.7.0
3
+ anyio==4.8.0
4
+ asttokens==3.0.0
5
+ attrs==24.3.0
6
+ blinker==1.9.0
7
+ cachetools==5.5.0
8
+ certifi==2024.12.14
9
+ cffi==1.17.1
10
+ charset-normalizer==3.4.1
11
+ click==8.1.8
12
+ colorama==0.4.6
13
+ comm==0.2.2
14
+ cryptography==44.0.0
15
+ debugpy==1.8.11
16
+ decorator==5.1.1
17
+ distro==1.9.0
18
+ dnspython==2.7.0
19
+ executing==2.1.0
20
+ filelock==3.16.1
21
+ fsspec==2024.12.0
22
+ gitdb==4.0.12
23
+ GitPython==3.1.44
24
+ h11==0.14.0
25
+ httpcore==1.0.7
26
+ httpx==0.28.1
27
+ huggingface-hub==0.27.1
28
+ idna==3.10
29
+ ipykernel==6.29.5
30
+ ipython==8.31.0
31
+ jedi==0.19.2
32
+ Jinja2==3.1.5
33
+ jiter==0.8.2
34
+ jsonschema==4.23.0
35
+ jsonschema-specifications==2024.10.1
36
+ jupyter_client==8.6.3
37
+ jupyter_core==5.7.2
38
+ markdown-it-py==3.0.0
39
+ MarkupSafe==3.0.2
40
+ matplotlib-inline==0.1.7
41
+ mdurl==0.1.2
42
+ mpmath==1.3.0
43
+ narwhals==1.21.1
44
+ nest-asyncio==1.6.0
45
+ networkx==3.2.1
46
+ numpy==2.2.1
47
+ openai==1.59.6
48
+ packaging==24.2
49
+ pandas==2.2.3
50
+ parso==0.8.4
51
+ pdfminer.six==20231228
52
+ pdfplumber==0.11.5
53
+ pillow==11.1.0
54
+ platformdirs==4.3.6
55
+ prompt_toolkit==3.0.48
56
+ protobuf==5.29.3
57
+ psutil==6.1.1
58
+ pure_eval==0.2.3
59
+ pyarrow==18.1.0
60
+ pycparser==2.22
61
+ pydantic==2.10.5
62
+ pydantic_core==2.27.2
63
+ pydeck==0.9.1
64
+ Pygments==2.19.1
65
+ pymongo==4.10.1
66
+ pypdfium2==4.30.1
67
+ python-dateutil==2.9.0.post0
68
+ pytz==2024.2
69
+ pywin32==308
70
+ PyYAML==6.0.2
71
+ pyzmq==26.2.0
72
+ referencing==0.35.1
73
+ regex==2024.11.6
74
+ requests==2.32.3
75
+ rich==13.9.4
76
+ rpds-py==0.22.3
77
+ safetensors==0.5.2
78
+ six==1.17.0
79
+ smmap==5.0.2
80
+ sniffio==1.3.1
81
+ stack-data==0.6.3
82
+ streamlit==1.41.1
83
+ sympy==1.13.1
84
+ tenacity==9.0.0
85
+ tokenizers==0.21.0
86
+ toml==0.10.2
87
+ torch==2.5.1+cpu
88
+ torchaudio==2.5.1+cpu
89
+ torchvision==0.20.1+cpu
90
+ tornado==6.4.2
91
+ tqdm==4.67.1
92
+ traitlets==5.14.3
93
+ transformers==4.48.0
94
+ typing_extensions==4.12.2
95
+ tzdata==2024.2
96
+ urllib3==2.3.0
97
+ watchdog==6.0.0
98
+ wcwidth==0.2.13