Upload 3 files

app.py

@@ -0,0 +1,33 @@
+import streamlit as st
+from langchain.prompts import PromptTemplate
+from langchain.llms import CTransformers
+
+def get_blog_response(blog_context,blog_length,style):
+    llm = CTransformers(model='models/llama-2-7b-chat.ggmlv3.q8_0.bin',
+                        model_type='llama',
+                        config={'max_new_tokens':256,
+                                'temperature':0.01})
+    template = """write a blog for {style} job profile for a topic {text} within {n_words} words."""
+    prompt = PromptTemplate(input_variables=['style','text','n_words'],template=template)
+    response = llm(prompt.format(style=style,text=blog_context,n_words=blog_length))
+    return response
+
+
+
+st.set_page_config(page_title="Generate blogs",
+                   page_icon = "X", 
+                   layout='centered', 
+                   initial_sidebar_state = 'collapsed')
+
+st.header("Generate blogs")
+input_text = st.text_input("Enter the blog topic")
+col1,col2 = st.columns([5,5])
+
+with col1:
+    no_words = st.text_input('No of words')
+with col2:
+    blog_style = st.selectbox('writing the blog for',('Researchers','Data Scientist','Common People'),index=0)
+submit = st.button("Generate")
+
+if submit:
+    st.write(get_blog_response(input_text,no_words,blog_style))

models/llama-2-7b-chat.ggmlv3.q8_0.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bfdde943555c78294626a6ccd40184162d066d39774bd2c98dae24943d32cc3
+size 7160799872

requirements.txt

@@ -0,0 +1,6 @@
+sentence-transformers
+uvicorn
+ctransformers
+langchain
+python-box
+streamlit