ritvik77 commited on
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Update app.py

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  1. app.py +41 -37
app.py CHANGED
@@ -1,69 +1,73 @@
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
12
- 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
15
- Args:
16
- arg1: the first argument
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- arg2: the second argument
18
- """
19
- return "What magic will you build ?"
20
 
21
  @tool
22
- 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)}"
 
 
 
35
 
 
 
 
 
 
 
 
 
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:
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- # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
41
-
42
  model = HfApiModel(
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- max_tokens=2096,
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- temperature=0.5,
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- model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
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- custom_role_conversions=None,
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  )
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,
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- 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()
 
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
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+ 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:
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+ problem: The problem or concern stated by the user.
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+ Returns:
19
+ A verse from the Bhagavad Gita with its meaning and explanation.
20
  """
21
  try:
22
+ # Send request to Bhagavad Gita API
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+ response = requests.get(BHAGAVAD_GITA_API)
24
+ if response.status_code == 200:
25
+ verses = response.json() # Get all verses
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+ relevant_verse = verses.get("verses")[0] # Fetch first relevant verse
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+
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+ verse_text = relevant_verse.get("text", "Verse not available")
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+ 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"
34
+ f"📖 *{verse_text}*\n\n"
35
+ 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,
48
+ 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
73
+ GradioUI(agent).launch()