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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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import os
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from langchain_google_genai import GoogleGenerativeAI
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from langchain import LLMChain
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from langchain.prompts import ChatPromptTemplate,
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from langchain.schema import
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HumanMessage,
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SystemMessage
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)
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google_api_key=os.environ["google_api_key"]
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llm = GoogleGenerativeAI(model='gemini-1.5-pro', google_api_key=google_api_key)
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]
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chat_prompt = ChatPromptTemplate.from_messages(messages)
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chain = LLMChain(llm=llm, prompt=chat_prompt)
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def extract_entities(text):
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result = chain.run(text)
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return result
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fn=chatbot,
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title="Entity Extraction Chatbot",
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description="Extract entities from text using Gemini 1.5 Pro."
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)
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iface.launch()
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# import gradio as gr
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# import os
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# from langchain_google_genai import GoogleGenerativeAI
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# from langchain import LLMChain
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# from langchain.prompts import ChatPromptTemplate,PromptTemplate,HumanMessagePromptTemplate
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# from langchain.schema import (
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# HumanMessage,
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# SystemMessage
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# )
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# google_api_key=os.environ["google_api_key"]
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# llm = GoogleGenerativeAI(model='gemini-1.5-pro', google_api_key=google_api_key)
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# messages = [
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# SystemMessage(content="You are an expert at extracting entities from text."),
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# HumanMessagePromptTemplate.from_template("{text}")
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# ]
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# chat_prompt = ChatPromptTemplate.from_messages(messages)
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# chain = LLMChain(llm=llm, prompt=chat_prompt)
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# def extract_entities(text):
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# result = chain.run(text)
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# return result
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# def chatbot(text, history):
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# response = extract_entities(text)
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# return response
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# iface = gr.ChatInterface(
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# fn=chatbot,
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# title="Entity Extraction Chatbot",
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# description="Extract entities from text using Gemini 1.5 Pro."
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# )
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# iface.launch()
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import gradio as gr
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import os
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from langchain_google_genai import GoogleGenerativeAI
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from langchain import LLMChain
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from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
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from langchain.schema import SystemMessage
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google_api_key = os.getenv("google_api_key")
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llm = GoogleGenerativeAI(model='gemini-1.5-pro', google_api_key=google_api_key)
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]
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chat_prompt = ChatPromptTemplate.from_messages(messages)
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chain = LLMChain(llm=llm, prompt=chat_prompt)
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def extract_entities(text):
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result = chain.run(text)
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return result
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iface = gr.Interface(
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fn=extract_entities,
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inputs=gr.Textbox(label="Enter your text"),
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outputs=gr.Textbox(label="Extracted Entities"),
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title="Entity Extraction Tool",
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description="Extract entities from text using Gemini 1.5 Pro."
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)
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iface.launch()
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