File size: 7,508 Bytes
10e9b7d
 
eccf8e4
3c4371f
37be472
 
 
 
 
 
 
 
 
 
 
 
10e9b7d
9b90756
3db6293
37be472
e80aab9
31243f4
2d17a67
37be472
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9b90756
37be472
 
9b90756
37be472
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9b90756
37be472
 
9b90756
37be472
 
 
 
 
 
 
 
 
 
 
 
 
 
9b90756
37be472
 
 
9b90756
37be472
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
31243f4
37be472
 
 
 
 
 
9b90756
 
37be472
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2d17a67
9b90756
37be472
 
 
 
 
 
 
 
 
3c4371f
37be472
 
 
7e4a06b
37be472
 
7e4a06b
37be472
3c4371f
7e4a06b
31243f4
 
e80aab9
31243f4
 
 
37be472
 
36ed51a
3c4371f
eccf8e4
37be472
 
 
 
 
 
7d65c66
37be472
 
 
 
 
 
 
 
31243f4
 
37be472
 
 
31243f4
37be472
31243f4
37be472
 
31243f4
37be472
e80aab9
 
37be472
 
 
 
 
 
 
 
 
e80aab9
37be472
7d65c66
37be472
e80aab9
37be472
e80aab9
37be472
 
 
 
 
 
7e4a06b
37be472
 
 
 
e80aab9
 
37be472
3c4371f
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
import os
import gradio as gr
import requests
import pandas as pd
from pathlib import Path

from smolagents import (
    CodeAgent,
    InferenceClientModel,
    DuckDuckGoSearchTool,
    VisitWebpageTool,
    PythonInterpreterTool,
    tool
)

from pypdf import PdfReader

# --- Constants ---
DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
MODEL_ID = "Qwen/Qwen2.5-32B-Instruct"

class BasicAgent:
    def __init__(self):        
        self.model = InferenceClientModel(
            model_id=MODEL_ID,
            token=os.getenv("HF_TOKEN"),
            temperature=0.05,
            max_tokens=1024,
        )

        tools = [
            DuckDuckGoSearchTool(max_results=10),
            VisitWebpageTool(),
            PythonInterpreterTool(),
        ]

        @tool
        def download_file(url: str) -> str:
            """
            Скачивает файл по URL.

            Args:
                url (str): URL файла

            Returns:
                str: Путь или ошибка
            """
            try:
                downloads = Path("./downloads")
                downloads.mkdir(exist_ok=True)
                fname = url.split("/")[-1].split("?")[0] or "file"
                path = downloads / fname
                
                r = requests.get(url, stream=True, timeout=45)
                r.raise_for_status()
                with open(path, "wb") as f:
                    for chunk in r.iter_content(8192):
                        f.write(chunk)
                return f"Скачано: {path.absolute()}. Анализируй."
            except Exception as e:
                return f"Ошибка скачивания: {str(e)}"

        @tool
        def read_pdf(path: str) -> str:
            """
            Читает PDF.

            Args:
                path (str): Путь

            Returns:
                str: Текст (до 4000 символов)
            """
            try:
                reader = PdfReader(path)
                text = "\n".join(page.extract_text() or "" for page in reader.pages)
                return text[:4000]
            except Exception as e:
                return f"Ошибка PDF: {str(e)}"

        @tool
        def read_excel(path: str, sheet: str = None) -> str:
            """
            Читает Excel.

            Args:
                path (str): Путь
                sheet (str, optional): Лист

            Returns:
                str: Таблица или ошибка
            """
            try:
                df = pd.read_excel(path, sheet_name=sheet)
                return df.to_string(max_rows=20, max_cols=10)
            except Exception as e:
                return f"Ошибка Excel: {str(e)}"

        tools.extend([download_file, read_pdf, read_excel])

        self.agent = CodeAgent(
            tools=tools,
            model=self.model,
            add_base_tools=True,
            max_steps=18,
        )
        print("Агент готов!")

    def __call__(self, question: str) -> str:
        print(f"Вопрос: {question[:120]}...")

        if len(question) > 2500:
            question = question[:2500] + "\n[Обрезано из-за длины.]"

        q = question.lower()
        if any(k in q for k in [".mp3", "audio", "recording", "voice", "youtube.com", "video", "attached", "file", "excel", "pdf", "image"]):
            question += "\nЕсли есть URL — скачай файл/видео и читай/ищи транскрипт/описание. Не придумывай."

        try:
            result = self.agent.run(question)
            answer = str(result).strip()

            prefixes = [
                "Final Answer", "Final answer", "Answer:", "The answer is",
                "So the final answer is", "```", "boxed{", "}", "[/INST]", "</s>",
                "Thought:", "Observation:", "Action:"
            ]
            for p in prefixes:
                if p.lower() in answer.lower():
                    answer = answer.split(p, 1)[-1].strip(": []{}\n`")
                    break

            if answer.startswith("[") and answer.endswith("]"):
                answer = answer[1:-1].strip()

            answer = answer.strip()

            if len(answer) > 300 or "придум" in answer.lower():
                answer = answer[:150] + "..." if len(answer) > 150 else answer

            print(f"Ответ: {answer[:150]}...")
            return answer or "Нет ответа"

        except Exception as e:
            err = f"Ошибка: {str(e)[:200]}"
            print(err)
            return err

# --- run_and_submit_all (без изменений) ---
def run_and_submit_all(profile: gr.OAuthProfile | None):
    space_id = os.getenv("SPACE_ID")
    if profile:
        username = profile.username
        print(f"Вход: {username}")
    else:
        return "Войдите в HF", None

    api_url = DEFAULT_API_URL
    questions_url = f"{api_url}/questions"
    submit_url = f"{api_url}/submit"

    try:
        agent = BasicAgent()
    except Exception as e:
        return f"Ошибка агента: {e}", None

    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"

    try:
        resp = requests.get(questions_url, timeout=15)
        resp.raise_for_status()
        questions = resp.json()
        if not questions:
            return "Вопросов нет", None
        print(f"Вопросов: {len(questions)}")
    except Exception as e:
        return f"Ошибка вопросов: {e}", None

    results = []
    payload = []
    for item in questions:
        tid = item.get("task_id")
        q = item.get("question")
        if not tid or not q:
            continue
        try:
            ans = agent(q)
            payload.append({"task_id": tid, "submitted_answer": ans})
            results.append({"Task ID": tid, "Question": q, "Answer": ans})
        except Exception as e:
            results.append({"Task ID": tid, "Question": q, "Answer": f"ERROR: {e}"})

    if not payload:
        return "Нет ответов", pd.DataFrame(results)

    data = {"username": username.strip(), "agent_code": agent_code, "answers": payload}

    try:
        resp = requests.post(submit_url, json=data, timeout=60)
        resp.raise_for_status()
        res = resp.json()
        status = (
            f"Успех!\n"
            f"Пользователь: {res.get('username')}\n"
            f"Балл: {res.get('score', 'N/A')}% "
            f"({res.get('correct_count', '?')}/{res.get('total_attempted', '?')})\n"
            f"{res.get('message', '')}"
        )
        return status, pd.DataFrame(results)
    except Exception as e:
        return f"Ошибка отправки: {e}", pd.DataFrame(results)

# --- Gradio ---
with gr.Blocks() as demo:
    gr.Markdown("# Агент для финального задания")
    gr.Markdown("""
1. Клонируй и дорабатывай.
2. Войди через кнопку.
3. Нажми кнопку — увидишь score.
""")
    gr.LoginButton()
    btn = gr.Button("Запустить оценку и отправить")
    status = gr.Textbox(label="Результат", lines=6)
    table = gr.DataFrame(label="Ответы", wrap=True)
    btn.click(run_and_submit_all, outputs=[status, table])

if __name__ == "__main__":
    print("Запуск...")
    demo.launch(debug=True, share=False)