Update crew.py
Browse files
crew.py
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
import os
|
| 2 |
|
| 3 |
from crewai import Agent, Crew, Process, Task
|
|
|
|
| 4 |
from crewai_tools import (
|
| 5 |
CodeInterpreterTool,
|
| 6 |
SerperDevTool,
|
|
@@ -17,6 +18,7 @@ from util import get_final_answer
|
|
| 17 |
MANAGER_MODEL = "gpt-4.1"
|
| 18 |
AGENT_MODEL = "gpt-4.1"
|
| 19 |
FINAL_ANSWER_MODEL = "gpt-4.5-preview"
|
|
|
|
| 20 |
|
| 21 |
# LLM evaluation
|
| 22 |
|
|
@@ -35,7 +37,33 @@ CrewAIInstrumentor().instrument(tracer_provider=tracer_provider)
|
|
| 35 |
def run_crew(question, file_path):
|
| 36 |
# Custom tools
|
| 37 |
|
| 38 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 39 |
|
| 40 |
# Built-in tools
|
| 41 |
|
|
|
|
| 1 |
import os
|
| 2 |
|
| 3 |
from crewai import Agent, Crew, Process, Task
|
| 4 |
+
from crewai.tools import tool
|
| 5 |
from crewai_tools import (
|
| 6 |
CodeInterpreterTool,
|
| 7 |
SerperDevTool,
|
|
|
|
| 18 |
MANAGER_MODEL = "gpt-4.1"
|
| 19 |
AGENT_MODEL = "gpt-4.1"
|
| 20 |
FINAL_ANSWER_MODEL = "gpt-4.5-preview"
|
| 21 |
+
STT_MODEL = "whisper-1"
|
| 22 |
|
| 23 |
# LLM evaluation
|
| 24 |
|
|
|
|
| 37 |
def run_crew(question, file_path):
|
| 38 |
# Custom tools
|
| 39 |
|
| 40 |
+
@tool("Audio Analysis Tool")
|
| 41 |
+
def audio_analysis_tool(question: str, file_path: str) -> str:
|
| 42 |
+
"""Transcribe audio file using OpenAI's Whisper model.
|
| 43 |
+
|
| 44 |
+
Args:
|
| 45 |
+
question (str): Question to answer
|
| 46 |
+
file_path (str): Path of the audio file to transcribe
|
| 47 |
+
|
| 48 |
+
Returns:
|
| 49 |
+
str: Transcribed text from the audio file
|
| 50 |
+
|
| 51 |
+
Raises:
|
| 52 |
+
FileNotFoundError: If audio file does not exist
|
| 53 |
+
RuntimeError: If transcription fails"""
|
| 54 |
+
if not os.path.exists(file_path):
|
| 55 |
+
raise FileNotFoundError(f"Audio file not found: {file_path}")
|
| 56 |
+
|
| 57 |
+
try:
|
| 58 |
+
client = OpenAI()
|
| 59 |
+
transcript = client.audio.transcriptions.create(
|
| 60 |
+
file=open(file_path, "rb"),
|
| 61 |
+
model=STT_MODEL,
|
| 62 |
+
prompt=question,
|
| 63 |
+
)
|
| 64 |
+
return transcript.text
|
| 65 |
+
except Exception as e:
|
| 66 |
+
raise RuntimeError(f"Failed to transcribe audio: {str(e)}")
|
| 67 |
|
| 68 |
# Built-in tools
|
| 69 |
|