setup

setup

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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)
+