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| import requests | |
| import gradio as gr | |
| def get_text_response(prompt): | |
| api_url = "http://35.233.231.20:5002/api/generate" | |
| data_payload = { | |
| "model": "llama2", | |
| "prompt": prompt, | |
| "stream": False | |
| } | |
| response = requests.post(api_url, json=data_payload) | |
| response_json = response.json() | |
| text_response = response_json.get("response", "No response received.") | |
| return text_response | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| prompt = gr.Textbox(label="Enter your prompt") | |
| submit_button = gr.Button("Submit") | |
| output = gr.Textbox(label="Response") | |
| submit_button.click(fn=get_text_response, inputs=prompt, outputs=output) | |
| # Adding the acknowledgment about Fair Compute | |
| gr.HTML( | |
| """ | |
| <div class="acknowledgments"> | |
| <p>Run AI models on your home computers, powered by <a href="https://faircompute.com/" style="text-decoration: underline;" target="_blank">FairCompute</a></p> | |
| </div> | |
| """ | |
| ) | |
| demo.launch() | |