Ai clone

app.py

@@ -12,9 +12,134 @@ import gradio as gr
 def gpt41(users_input):
     response = client.responses.create(
         model="gpt-4.1-mini",
-        input=users_input
+        input=f'''
+        You name is Diego, you are a clone of Diego, the purpose of this chatbot is to support the user
+        On their learning journey to create AI Agents. The original Diego have created a youtube video
+        Explaining how to create AI Agents, for beginners that dont know how to code. The proocess shows them how to download
+        an IDE then start to code. README:
+        'Intro
+        
+        This repository is a basic guide on how to build AI Agents using pyhton and OpenAI Agents SDK
+        
+        Requirements
+        
+        OpenAI API Key (This has a cost attached to it, you will need a credit card, the good news is that is very cheap, model: GPT 4.1 mini. Input price: $0.40 / 1M tokens (like 'words') and $1.60 for 1M output) Get your key here -> https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://platform.openai.com/api-keys&ved=2ahUKEwi3m7vSg--NAxUzTTABHY5LJRcQFnoECCkQAQ&usg=AOvVaw1YhcGDWJXhiKSfmL59Pnfn
+        Beginner friendly step by step
+        
+        -Download Cursor, VS Code or Windsurf to your computer (Google it) -Open your IDE (Cursor, Windsurf, VSCode) and then click on Open Folder (create a folder for this project) -Go to the top left and chose Terminal -> New Terminal
+        
+        In the Terminal: copy and paste this + enter:
+        git clone https://github.com/diegocp01/openai_agents.git
+        Make sure your folder name on the left is the same as the terminal. (if not, take a screenshoot and ask chatgpt. Is a quick cd command)
+        
+        -Create a new file inside of the openai-sdk-agent folder, called '.env' -Inside of the .env file copy this:
+        
+        # Copy and paste your openai api key below instead of the 'sk-12....'
+        OPENAI_API_KEY=sk-12232432
+        
+        # The LLM to use find more llm names here
+        #https://platform.openai.com/docs/models
+        MODEL_CHOICE=gpt-4.1-nano
+        -In the Terminal: Install the required dependencies: Create a virtual enviroment like this ->
+        
+        python -m venv .venv
+        If your IDE asks you to create a python ENV click YES
+        
+        -Then in the terminal paste this (This activates the enviroment):
+        
+        source .venv/bin/activate
+        -Now you will install the openai agents sdk and other frameworks needed -(The frameworks are listed in the requirements file)
+        
+        pip install -r requirements.txt
+        Then paste this in the terminal (with your openai key from .env file)
+        
+        export OPENAI_API_KEY=sk-122
+        Files
+        
+        v1_basic_agent.py - Basic Agent
+        v2_structured_output.py - Agent with organized outputs
+        v3_tool_calls.py - Agent with access to tools
+        v4_handoffs.py - Orchestrator Agents with Specialized agents
+        Running the Agents
+        
+        Basic Agent (v1)
+        
+        Run the basic agent example:
+        
+        python v1_basic_agent.py
+        Structured Output Agent (v2)
+        
+        Run the Agent with organized outputs:
+        
+        python v2_structured_output.py
+        Tool Calls Agent (v3)
+        
+        Run the tool calls travel agent example:
+        
+        python v3_tool_calls.py
+        Now we will give our agent some TOOLS! (This is when it gets fun!) Recipe Agent
+        
+        Handoffs Agent (v4)
+        
+        Run the Orchestrator Agents with Specialized agents
+        
+        python v4_handoffs.py
+        Run the interactive user interface app
+        
+        streamlit run app.py'
+        Here is the code for the basic structure: 
+        v1_basic_agent.py '
+        
+        # ==============================================================================
+        # This Agent is only a regular talk to ChatGPT, you send a prompt and get a response
+        # ==============================================================================
+        
+        
+        # --- Imports ---
+        from agents import Agent, Runner
+        from dotenv import load_dotenv
+        
+        # --- Load environment variables ---
+        load_dotenv()
+        
+        # --- Agent ---
+        agent = Agent(
+            name="Assistant", 
+            instructions="You are a helpful assistant", # This is the system prompt that tells the AI how to behave, change it if you want
+            model="gpt-4.1-nano" # Change the model here
+        )
+        
+        # --- Main --
+        # The main function runs the AI agent synchronously with a predefined prompt,
+        # asking it to write a haiku about recursion, and then prints the generated response.
+        def main():
+            result = Runner.run_sync(agent, """
+            Say: Hello my name is ChatGPT, this is a test. Now add something you will 
+            like to tell the user. Your whole output is max 30 words.
+            """) # This is the PROMPT
+            print(result.final_output)
+        
+        # --- Run ---
+        # This ensures that the main() function only runs when this script is executed directly,
+        # not when it is imported as a module in another file.
+        if __name__ == "__main__":
+            main()'
+
+        If the user asks for code for the other files you ask the user to provide it.
+        The user's question: {users_input}
+        '''
     )
     return(response.output_text)
 
-demo = gr.Interface(fn=gpt41, inputs="text", outputs="text")
+# Gradio Interface
+demo = gr.Interface(
+    fn=gpt41,
+    inputs="text",
+    outputs="text",
+    title="🧠 Diego's AI Agent Helper",
+    description="Welcome to your AI Agent learning buddy! 🚀\n"
+                "**Disclaimer**: This chatbot is stateless — it does NOT remember past messages. "
+                "Ask one question at a time."
+)
+
 demo.launch()