Update app.py
Browse files
app.py
CHANGED
@@ -1,3 +1,37 @@
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# from dotenv import load_dotenv
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# from langchain import HuggingFaceHub, LLMChain
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# from langchain import PromptTemplates
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@@ -46,27 +80,27 @@
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# return simptok(data)
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from hugchat import hugchat
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import gradio as gr
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import time
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# Create a chatbot connection
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chatbot = hugchat.ChatBot(cookie_path="cookies.json")
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# New a conversation (ignore error)
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id = chatbot.new_conversation()
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chatbot.change_conversation(id)
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def get_answer(data):
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gradio_interface = gr.Interface(
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)
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gradio_interface.launch()
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# gradio_interface = gradio.Interface(
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# fn = responsenew,
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import gradio
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from transformers import pipeline
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# Initialize the Hugging Face model
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model = pipeline(model='google/flan-t5-base')
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# Define the chatbot function
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def chatbot(input_text):
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# Generate a response from the Hugging Face model
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response = model(input_text, max_length=50, do_sample=True)[0]['generated_text'].strip()
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# Return the bot response
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return response
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# Define the Gradio interface
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gradio_interface = gradio.Interface(
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fn=chatbot,
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inputs='text',
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outputs='text',
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title='Chatbot',
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description='A weird chatbot conversations experience.',
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examples=[
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['Hi, how are you?']
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]
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)
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# Launch the Gradio interface
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gradio_interface.launch()
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# from dotenv import load_dotenv
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# from langchain import HuggingFaceHub, LLMChain
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# from langchain import PromptTemplates
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# return simptok(data)
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# from hugchat import hugchat
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# import gradio as gr
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# import time
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# # Create a chatbot connection
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# chatbot = hugchat.ChatBot(cookie_path="cookies.json")
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# # New a conversation (ignore error)
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# id = chatbot.new_conversation()
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# chatbot.change_conversation(id)
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# def get_answer(data):
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# return chatbot.chat(data)
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# gradio_interface = gr.Interface(
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# fn = get_answer,
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# inputs = "text",
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# outputs = "text"
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# )
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# gradio_interface.launch()
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# gradio_interface = gradio.Interface(
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# fn = responsenew,
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