Update app.py
Browse files
app.py
CHANGED
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@@ -6,7 +6,6 @@ For more information on `huggingface_hub` Inference API support, please check th
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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-
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def respond(
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message,
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history: list[tuple[str, str]],
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@@ -15,8 +14,11 @@ def respond(
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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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-
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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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@@ -27,6 +29,7 @@ def respond(
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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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@@ -35,7 +38,6 @@ def respond(
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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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-
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response += token
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yield response
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@@ -46,7 +48,7 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
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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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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def respond(
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message,
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history: list[tuple[str, str]],
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temperature,
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top_p,
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):
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# Set the default system message to the friendly Python chatbot message
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system_message = system_message or "You are a friendly Python code writing Chatbot. Assist with Python programming tasks, debugging, and code optimization. Provide solutions for Python-related queries, help with libraries, algorithms, and best practices, and generate clean, efficient code for various applications."
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# Prepare the conversation history and current message
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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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response = ""
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# Request the response from the model
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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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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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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 Python code writing Chatbot. Assist with Python programming tasks, debugging, and code optimization. Provide solutions for Python-related queries, help with libraries, algorithms, and best practices, and generate clean, efficient code for various applications.", 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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