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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 transformers import pipeline
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model_name = "curiouscurrent/omnicode"
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text_generator = pipeline("text-generation", model=model_name)
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def generate_response(prompt):
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history.append(prompt)
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final_prompt = "\n".join(history)
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# Generate response
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response = text_generator(
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return response
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import gradio as gr
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from transformers import pipeline
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# Load your text generation model from Hugging Face
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model_name = "curiouscurrent/omnicode"
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text_generator = pipeline("text-generation", model=model_name)
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def generate_response(input_prompt):
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# Generate response
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response = text_generator(input_prompt, max_length=100)[0]['generated_text']
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return response
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# Create Gradio interface
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input_prompt = gr.inputs.Textbox(lines=5, label="Input Prompt")
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output_text = gr.outputs.Textbox(label="Response")
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gr.Interface(
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generate_response,
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inputs=input_prompt,
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outputs=output_text,
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title="OmniCode",
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description="Multi Programming coding assistant.",
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theme="compact"
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).launch()
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