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Update app.py
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app.py
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@@ -2,6 +2,7 @@ import gradio as gr
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from huggingface_hub import InferenceClient
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from langchain_community.chat_models import ChatOllama
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from langchain_core.prompts import ChatPromptTemplate
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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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@@ -40,19 +41,21 @@ def respond(
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# messages.append({"role": "user", "content": message})
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messages.append(("user", message))
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for message in client.chat_completion(
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):
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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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from huggingface_hub import InferenceClient
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from langchain_community.chat_models import ChatOllama
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.output_parsers import StrOutputParser
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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": message})
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messages.append(("user", message))
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chain = ChatPromptTemplate.from_messages(messages) | ChatOllama | StrOutputParser()
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return chain.invoke()
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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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