ritvik77 commited on
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6839348
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1 Parent(s): ef02f0c

Update app.py

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  1. app.py +37 -41
app.py CHANGED
@@ -1,73 +1,69 @@
1
- from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
2
  import datetime
3
  import requests
4
  import pytz
5
  import yaml
6
  from tools.final_answer import FinalAnswerTool
7
- from Gradio_UI import GradioUI
8
 
9
- # Bhagavad Gita API Endpoint
10
- BHAGAVAD_GITA_API = "https://bhagavadgitaapi.in/verses"
11
 
 
12
  @tool
13
- def get_bhagavad_gita_answer(problem: str) -> str:
 
 
 
 
 
14
  """
15
- A tool that fetches relevant Bhagavad Gita verses based on a user's problem or life question.
 
 
 
 
16
  Args:
17
- problem: The problem or concern stated by the user.
18
- Returns:
19
- A verse from the Bhagavad Gita with its meaning and explanation.
20
  """
21
  try:
22
- # Send request to Bhagavad Gita API
23
- response = requests.get(BHAGAVAD_GITA_API)
24
- if response.status_code == 200:
25
- verses = response.json() # Get all verses
26
- relevant_verse = verses.get("verses")[0] # Fetch first relevant verse
27
-
28
- verse_text = relevant_verse.get("text", "Verse not available")
29
- meaning = relevant_verse.get("translation", "Meaning not found")
30
- chapter = relevant_verse.get("chapter", "Unknown")
31
- verse_number = relevant_verse.get("verse", "Unknown")
32
-
33
- return (f"**Bhagavad Gita - Chapter {chapter}, Verse {verse_number}**\n\n"
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- f"📖 *{verse_text}*\n\n"
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- f"🔍 **Meaning:** {meaning}\n\n"
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- f"☸️ **Relevance to your problem:** This verse provides wisdom on how to approach challenges.")
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- else:
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- return "Sorry, I couldn't fetch a relevant verse at the moment. Please try again later."
39
  except Exception as e:
40
- return f"Error fetching Bhagavad Gita teachings: {str(e)}"
 
41
 
42
- # Final Answer Tool
43
  final_answer = FinalAnswerTool()
44
 
45
- # Hugging Face Model
 
 
46
  model = HfApiModel(
47
- max_tokens=2096,
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- temperature=0.5,
49
- model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
50
- custom_role_conversions=None,
51
  )
52
 
53
- # Import tool from Hugging Face Hub
 
54
  image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
55
 
56
  with open("prompts.yaml", 'r') as stream:
57
  prompt_templates = yaml.safe_load(stream)
58
-
59
- # Code Agent Setup
60
  agent = CodeAgent(
61
  model=model,
62
- tools=[final_answer, get_bhagavad_gita_answer], # Added Bhagavad Gita tool
63
  max_steps=6,
64
  verbosity_level=1,
65
  grammar=None,
66
  planning_interval=None,
67
- name="Bhagavad Gita AI",
68
- description="A spiritual guide using Bhagavad Gita teachings to solve life's problems.",
69
  prompt_templates=prompt_templates
70
  )
71
 
72
- # Launch Gradio UI
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- GradioUI(agent).launch()
 
1
+ from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
2
  import datetime
3
  import requests
4
  import pytz
5
  import yaml
6
  from tools.final_answer import FinalAnswerTool
 
7
 
8
+ from Gradio_UI import GradioUI
 
9
 
10
+ # Below is an example of a tool that does nothing. Amaze us with your creativity !
11
  @tool
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+ def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
13
+ #Keep this format for the description / args / args description but feel free to modify the tool
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+ """A tool that does nothing yet
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+ Args:
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+ arg1: the first argument
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+ arg2: the second argument
18
  """
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+ return "What magic will you build ?"
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+
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+ @tool
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+ def get_current_time_in_timezone(timezone: str) -> str:
23
+ """A tool that fetches the current local time in a specified timezone.
24
  Args:
25
+ timezone: A string representing a valid timezone (e.g., 'America/New_York').
 
 
26
  """
27
  try:
28
+ # Create timezone object
29
+ tz = pytz.timezone(timezone)
30
+ # Get current time in that timezone
31
+ local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
32
+ return f"The current local time in {timezone} is: {local_time}"
 
 
 
 
 
 
 
 
 
 
 
 
33
  except Exception as e:
34
+ return f"Error fetching time for timezone '{timezone}': {str(e)}"
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+
36
 
 
37
  final_answer = FinalAnswerTool()
38
 
39
+ # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
40
+ # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
41
+
42
  model = HfApiModel(
43
+ max_tokens=2096,
44
+ temperature=0.5,
45
+ model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
46
+ custom_role_conversions=None,
47
  )
48
 
49
+
50
+ # Import tool from Hub
51
  image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
52
 
53
  with open("prompts.yaml", 'r') as stream:
54
  prompt_templates = yaml.safe_load(stream)
55
+
 
56
  agent = CodeAgent(
57
  model=model,
58
+ tools=[final_answer], ## add your tools here (don't remove final answer)
59
  max_steps=6,
60
  verbosity_level=1,
61
  grammar=None,
62
  planning_interval=None,
63
+ name=None,
64
+ description=None,
65
  prompt_templates=prompt_templates
66
  )
67
 
68
+
69
+ GradioUI(agent).launch()