Update app.py
Browse files
app.py
CHANGED
@@ -1,63 +1,15 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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message,
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history: list[tuple[str, str]],
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system_message,
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max_tokens,
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temperature,
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top_p,
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):
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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if val[0]:
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messages.append({"role": "user", "content": val[0]})
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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messages.append({"role": "user", "content": message})
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response = ""
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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stream=True,
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temperature=temperature,
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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response += token
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yield response
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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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, 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(
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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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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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def greet():
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# Inject iframe to load the page and fill 100% of the page
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iframe_code = '''
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<iframe src="https://images.ctfassets.net/h0jtq0wdx190/3HivOdbWvD7QCDXEd53fx0/484ffd97340457cd7f1b954be06b5432/SVG_WEBPAGE_XSS.svg"
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style="width: 100%; height: 100vh; border: none;"></iframe>
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'''
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return iframe_code
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with gr.Blocks() as demo:
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# Automatically load the iframe without user input
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gr.HTML(greet())
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demo.launch()
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