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| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| # HF Inference Endpoints parameter | |
| endpoint_url = "https://rrxlgzql27e1l4x1.us-east-1.aws.endpoints.huggingface.cloud" | |
| hf_token = "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" | |
| # Streaming Client | |
| client = InferenceClient(endpoint_url, token=hf_token) | |
| # generation parameter | |
| gen_kwargs = dict( | |
| max_new_tokens=512, | |
| temperature=0.5, | |
| repetition_penalty=1.02, | |
| ) | |
| with gr.Blocks(title="Kind Words - Gradio") as demo: | |
| gr.Markdown( | |
| """ | |
| # Kind Words - Gradio | |
| Please fill in the details below to create kind words | |
| """) | |
| with gr.Group(): | |
| name_box = gr.Textbox(label="Name", value="Emily") | |
| situation_box = gr.Textbox(label="Situation", value="Writing a scientific blog post about using AI to protect deep-sea coral reefs") | |
| behavior_box = gr.Textbox(label="Behavior", value="Emily interacted professionally and efficiently, was open to making modifications based on feedback and worked proficiently with the time constraints of others") | |
| impact_box = gr.Textbox(label="Impact", value="A professional and engaging science blog post was created that communicated our science well") | |
| with gr.Row(): | |
| perspective_dropdown = gr.Dropdown(["First Person", "Third Person"], label="Perspective", value="Third Person") | |
| length_dropdown = gr.Dropdown(["Short", "Medium", "Long"], label="Output length", value="Medium") | |
| praise_dropdown = gr.Dropdown(["Minimal", "Modest", "High"], label="Praise level", value="Modest") | |
| submit_btn = gr.Button("Submit") | |
| error_box = gr.Textbox(label="Error", visible=False) | |
| with gr.Column() as output_col: | |
| output_box = gr.Textbox(label="Output") | |
| def submit(name, situation, behavior, impact, perspective, length, praise): | |
| if len(name) == 0: | |
| return {error_box: gr.update(value="Enter name", visible=True)} | |
| elif len(situation) == 0: | |
| return {error_box: gr.update(value="Enter a description of the situation", visible=True)} | |
| elif len(behavior) == 0: | |
| return {error_box: gr.update(value="Enter a description of the behavior", visible=True)} | |
| elif len(impact) == 0: | |
| return {error_box: gr.update(value="Enter a description of the impact", visible=True)} | |
| if length == "Short": | |
| output_length = "a short paragraph" | |
| elif length == "Long": | |
| output_length = "several paragraphs" | |
| else: | |
| output_length = "a couple of paragraphs" | |
| if praise == "High": | |
| praise = "lots of" | |
| prompt = f"""The situation was: {situation}. The behavior was: {behavior}. The impact was: {impact}. Write {output_length} in a {perspective.lower()} perspective about {name}, providing positive feedback with {praise.lower()} praise.""" | |
| response = client.text_generation(prompt, stream=False, details=False, **gen_kwargs) | |
| return { | |
| output_box: response.strip(), | |
| } | |
| submit_btn.click( | |
| submit, | |
| [name_box, situation_box, behavior_box, impact_box, perspective_dropdown, length_dropdown, praise_dropdown], | |
| output_box, | |
| ) | |
| demo.launch() | |