Create app.py

app.py

@@ -0,0 +1,45 @@
+import streamlit as st
+from langchain.prompts import PromptTemplate
+from langchain_community.llms import CTransformers
+
+
+def GetLLMResponse(input_text,no_words,blog_type):
+    llm=CTransformers(model="models\llama-2-7b-chat.ggmlv3.q8_0.bin",
+                      model_type='llama',
+                      config={'max_new_tokens':200,
+                              'temperature':0.01})
+    
+    template=" wtite a blog for {blog_type} on topic of {input_text} in {no_words} words."
+    
+    prompt=PromptTemplate(input_variables=['blog_type','input_text','no_words'],template=template)
+
+    response=llm(prompt.format(blog_type=blog_type,input_text=input_text,no_words=no_words))
+    return response
+
+
+
+
+
+
+
+
+
+st.set_page_config(page_title="Generative AI Blog",
+                   layout="centered",
+                   initial_sidebar_state='collapsed')
+st.header("Blog Generater")
+
+input_text=st.text_input('ENTER THE TOPIC')
+
+col1,col2=st.columns([5,5])
+
+with col1:
+    no_words=st.text_input("ENTER THE NUMBER OF WORDS")
+
+with col2:
+    blog_type=st.selectbox("SELECT BLOG FOR",('SCIENTIST','TEACHER','STUDENT'))
+
+submit=st.button("GENERATE")
+
+if submit:
+    st.write(GetLLMResponse(input_text,no_words,blog_type))