Spaces:
Sleeping
Sleeping
Islam YAHIAOUI
commited on
Commit
·
8d37efc
1
Parent(s):
afdadfe
Update space
Browse files
app.py
CHANGED
@@ -1,6 +1,6 @@
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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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"""
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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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@@ -22,9 +22,9 @@ def respond(
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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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-
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messages.append({"role": "user", "content": message})
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-
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response = ""
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for message in client.chat_completion(
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@@ -38,14 +38,14 @@ def respond(
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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
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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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@@ -60,4 +60,4 @@ demo = gr.ChatInterface(
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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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from huggingface_hub import InferenceClient
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from rag import run_rag
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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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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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+
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messages.append({"role": "user", "content": run_rag(message)})
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response = ""
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for message in client.chat_completion(
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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 useful and capable assistant .", 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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if __name__ == "__main__":
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demo.launch(share=True)
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