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Update app.py
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app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def respond(
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@@ -46,15 +68,9 @@ demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Slider(minimum=1,
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7,
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="Top-p (nucleus sampling)",
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),
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],
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)
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import gradio as gr
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from huggingface_hub import InferenceClient
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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#client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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client = InferenceClient("vennify/t5-base-grammar-correction")
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#gr.load("models/vennify/t5-base-grammar-correction").launch()
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# Load the model and tokenizer
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model_name = "vennify/t5-base-grammar-correction"
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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# Define the function to generate corrected text
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def correct_text(text, max_length, num_beams, temperature):
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inputs = tokenizer.encode(text, return_tensors="pt")
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outputs = model.generate(
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inputs,
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max_length=max_length,
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num_beams=num_beams,
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temperature=temperature,
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early_stopping=True
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)
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corrected_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return corrected_text
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def respond(
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respond,
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additional_inputs=[
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
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],
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)
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