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Update app.py
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app.py
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import streamlit as st
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from
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from langchain.llms import CTransformers
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## Function To get response from LLAma 2 model
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def getLLamaresponse(input_text,keywords,blog_style):
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### LLama2 model
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llm=CTransformers(model="models/llama-2-7b-chat.ggmlv3.q2_K.bin",
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model_type='llama',
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config={'max_new_tokens':250,
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'temperature':0.01})
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## Prompt Template
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template="""
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Generate project idea for {blog_style} by using keywords like {keywords} for the profession of {input_text} .
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"""
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prompt=PromptTemplate(input_variables=["blog_style","input_text",'keywords'],
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template=template)
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## Generate the ressponse from the LLama 2 model
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response=llm(prompt.format(blog_style=blog_style,input_text=input_text,keywords=keywords))
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print(response)
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return response
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page_icon='🤖',
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layout='centered',
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initial_sidebar_state='collapsed')
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with col1:
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no_words=st.text_input('Keywords')
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with col2:
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blog_style=st.selectbox('Generating project idea for',
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submit=st.button("Generate")
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if submit:
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import streamlit as st
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from transformers import pipeline
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# Function to get response from LLaMA 2 model
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def getLLamaresponse(input_text, keywords, blog_style):
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# Load the LLaMA 2 model from Hugging Face
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model_name = "meta-llama/Llama-2-7b-chat-hf"
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llm = pipeline('text-generation', model=model_name)
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# Prompt Template
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template = """
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Generate project idea for {blog_style} by using keywords like {keywords} for the profession of {input_text}.
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"""
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# Format the prompt
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prompt = template.format(blog_style=blog_style, input_text=input_text, keywords=keywords)
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# Generate the response from the LLaMA 2 model
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response = llm(prompt, max_length=250, temperature=0.01)
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return response[0]['generated_text']
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st.set_page_config(page_title="Generate Project Idea",
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page_icon='🤖',
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layout='centered',
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initial_sidebar_state='collapsed')
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st.header("Generate Project Idea 🤖")
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input_text = st.text_input("Enter the Topic")
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# Creating two more columns for additional fields
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col1, col2 = st.columns([5, 5])
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with col1:
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no_words = st.text_input('Keywords')
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with col2:
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blog_style = st.selectbox('Generating project idea for',
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('Researchers', 'Data Scientist', 'Software Developer', 'Common People', " "), index=0)
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submit = st.button("Generate")
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# Final response
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if submit:
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response = getLLamaresponse(input_text, no_words, blog_style)
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st.write(response)
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