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| import gradio as gr | |
| import os | |
| from groq import Groq | |
| client = Groq(api_key=os.environ['GROQ_API_KEY']) | |
| def get_response(question, model_choice): | |
| # Create a chat completion with the user's question and selected model | |
| chat_completion = client.chat.completions.create( | |
| messages=[ | |
| { | |
| "role": "user", | |
| "content": f"you are created by Manish using Groq. {question}", | |
| } | |
| ], | |
| model=model_choice, | |
| ) | |
| # Extract and return the response | |
| return chat_completion.choices[0].message.content | |
| # Define the Gradio interface inputs including a Radio component for model selection | |
| iface = gr.Interface( | |
| fn=get_response, | |
| inputs=[ | |
| gr.Textbox(lines=2, placeholder="Enter your question here..."), | |
| gr.Radio(choices=["mixtral-8x7b-32768", "llama2-70b-4096"], label="Model Selection", value="mixtral-8x7b-32768") | |
| ], | |
| outputs=gr.TextArea(label="Answer"), | |
| title="Groq Chat Assistant", | |
| description="Ask any question and select a model to get a response from the Groq chat model." | |
| ) | |
| # Launch the app | |
| iface.launch() |