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| import os | |
| import gradio as gr | |
| from openai import OpenAI | |
| from dotenv import load_dotenv | |
| # Load environment variables from .env file | |
| load_dotenv() | |
| # Get API key from environment variable | |
| api_key = os.getenv("OPENAI_API_KEY") | |
| # Initialize OpenAI client | |
| client = OpenAI( | |
| base_url="https://models.inference.ai.azure.com", | |
| api_key=api_key | |
| ) | |
| # Function to get response from OpenAI | |
| def chat_with_ai(user_input): | |
| try: | |
| response = client.chat.completions.create( | |
| model="gpt-4o", | |
| messages=[ | |
| {"role": "system", "content": "You are a helpful assistant."}, | |
| {"role": "user", "content": user_input}, | |
| ] | |
| ) | |
| return response.choices[0].message.content | |
| except Exception as e: | |
| return f"Error: {str(e)}" | |
| # Create Gradio UI | |
| iface = gr.Interface( | |
| fn=chat_with_ai, | |
| inputs="text", | |
| outputs="text", | |
| title="AI Chatbot", | |
| description="A chatbot powered by OpenAI's API." | |
| ) | |
| # Run the app | |
| if __name__ == "__main__": | |
| iface.launch() | |