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pip install gradio openai
import openai
import gradio as gr
# Set your LLaMA3 API key
openai.api_key = 'your-llama3-api-key'
def ai_developer_agent(prompt, specialization="general"):
"""
Function to interact with the LLaMA3 API and get a response based on the prompt and specialization.
:param prompt: The input text to the AI agent.
:param specialization: The area of specialization for the AI agent.
:return: The response from the AI agent.
"""
try:
specialized_prompt = (
f"You are an AI developer assistant specializing in {specialization}. "
"Answer the following query or provide the requested code snippet:\n\n{prompt}"
)
response = openai.Completion.create(
engine="text-davinci-003",
prompt=specialized_prompt,
max_tokens=300,
n=1,
stop=None,
temperature=0.7
)
return response.choices[0].text.strip()
except Exception as e:
return str(e)
def determine_specialization(query):
"""
Function to determine the specialization based on the query content.
:param query: The input query from the user.
:return: The determined area of specialization.
"""
if "frontend" in query.lower():
return "frontend development"
elif "backend" in query.lower():
return "backend development"
elif "debug" in query.lower():
return "debugging"
elif "deploy" in query.lower():
return "deployment"
else:
return "general development"
def interact(query):
specialization = determine_specialization(query)
response = ai_developer_agent(query, specialization)
return response
iface = gr.Interface(
fn=interact,
inputs="text",
outputs="text",
title="AI Developer Agent",
description="Ask the AI developer assistant anything about frontend, backend, debugging, or deployment."
)
if __name__ == "__main__":
iface.launch()
python ai_developer_agent.py
from flask import Flask, jsonify, request
app = Flask(__name__)
@app.route('/api', methods=['GET'])
def get_api():
data = {"message": "Hello, World!"}
return jsonify(data)
@app.route('/api', methods=['POST'])
def post_api():
data = request.get_json()
return jsonify(data), 201
if __name__ == '__main__':
app.run(debug=True)
import pdb
def add(a, b):
pdb.set_trace() # This will pause execution and open the debugger
return a + b
result = add(3, 5)
print(result)
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