Create agents/topic_agent.py
Browse files- agents/topic_agent.py +25 -29
agents/topic_agent.py
CHANGED
|
@@ -1,38 +1,34 @@
|
|
| 1 |
-
#
|
|
|
|
| 2 |
import json
|
| 3 |
|
| 4 |
class TopicAgent:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
def generate_outline(self, topic, duration, difficulty):
|
| 6 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
return {
|
| 8 |
"topic": topic,
|
| 9 |
"duration": f"{duration} hours",
|
| 10 |
"difficulty": difficulty,
|
| 11 |
-
"goals": [
|
| 12 |
-
|
| 13 |
-
"Develop industry-specific applications",
|
| 14 |
-
"Build and evaluate complex AI workflows",
|
| 15 |
-
"Implement best practices for production"
|
| 16 |
-
],
|
| 17 |
-
"modules": [
|
| 18 |
-
{
|
| 19 |
-
"title": f"Fundamentals of {topic}",
|
| 20 |
-
"duration": "30 min",
|
| 21 |
-
"learning_points": [
|
| 22 |
-
"Core principles and terminology",
|
| 23 |
-
"Patterns and anti-patterns",
|
| 24 |
-
"Evaluation frameworks"
|
| 25 |
-
]
|
| 26 |
-
},
|
| 27 |
-
{
|
| 28 |
-
"title": f"{topic} for Enterprise Applications",
|
| 29 |
-
"duration": "45 min",
|
| 30 |
-
"learning_points": [
|
| 31 |
-
"Industry-specific use cases",
|
| 32 |
-
"Integration with existing systems",
|
| 33 |
-
"Scalability considerations"
|
| 34 |
-
]
|
| 35 |
-
}
|
| 36 |
-
# Additional modules would be generated here
|
| 37 |
-
]
|
| 38 |
}
|
|
|
|
| 1 |
+
# agents/topic_agent.py
|
| 2 |
+
import openai
|
| 3 |
import json
|
| 4 |
|
| 5 |
class TopicAgent:
|
| 6 |
+
def __init__(self, api_key=None):
|
| 7 |
+
if api_key:
|
| 8 |
+
openai.api_key = api_key
|
| 9 |
+
|
| 10 |
def generate_outline(self, topic, duration, difficulty):
|
| 11 |
+
if not openai.api_key:
|
| 12 |
+
return self._mock_outline(topic, duration, difficulty)
|
| 13 |
+
|
| 14 |
+
response = openai.ChatCompletion.create(
|
| 15 |
+
model="gpt-4",
|
| 16 |
+
messages=[
|
| 17 |
+
{"role": "system", "content": "You're an expert corporate trainer creating AI workshop outlines"},
|
| 18 |
+
{"role": "user", "content": (
|
| 19 |
+
f"Create a {duration}-hour {difficulty} workshop outline on {topic}. "
|
| 20 |
+
"Include: 1) Key learning goals, 2) 4 modules with titles and durations, "
|
| 21 |
+
"3) Hands-on exercises per module. Output as JSON."
|
| 22 |
+
)}
|
| 23 |
+
]
|
| 24 |
+
)
|
| 25 |
+
return json.loads(response.choices[0].message.content)
|
| 26 |
+
|
| 27 |
+
def _mock_outline(self, topic, duration, difficulty):
|
| 28 |
return {
|
| 29 |
"topic": topic,
|
| 30 |
"duration": f"{duration} hours",
|
| 31 |
"difficulty": difficulty,
|
| 32 |
+
"goals": ["Goal 1", "Goal 2"],
|
| 33 |
+
"modules": [{"title": "Module 1", "duration": "30 min"}]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
}
|