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| import gradio as gr | |
| from transformers import pipeline | |
| # Load FinGPT model from Hugging Face | |
| model = pipeline("text-generation", model="FinGPT") | |
| # Define the chat function | |
| def chat(input_text): | |
| response = model(input_text, max_length=50, num_return_sequences=1) | |
| return response[0]['generated_text'] | |
| # Create a Gradio interface | |
| iface = gr.Interface(fn=chat, inputs="text", outputs="text", title="FinGPT Chatbot") | |
| iface.launch() | |