Update app.py

app.py

@@ -1,53 +1,53 @@
-import streamlit as st
-from langchain.prompts import PromptTemplate
-from langchain.llms import CTransformers
-
-## Function To get response from LLAma 2 model
-
-def getLLamaresponse(input_text,keywords,blog_style):
-
-    ### LLama2 model
-    llm=CTransformers(model="models\llama-2-7b-chat.ggmlv3.q2_K.bin",
-                      model_type='llama',
-                      config={'max_new_tokens':50,
-                              'temperature':0.01})
-    
-    ## Prompt Template
-
-    template="""
-        Generate sql command for {blog_style}  {input_text}  {keywords}.
-            """
-    
-    prompt=PromptTemplate(input_variables=["blog_style","input_text",'keywords'],
-                          template=template)
-    
-    ## Generate the ressponse from the LLama 2 model
-    response=llm(prompt.format(blog_style=blog_style,input_text=input_text,keywords=keywords))
-    print(response)
-    return response
-
-st.set_page_config(page_title="Generate Project Idea",
-                    page_icon='🤖',
-                    layout='centered',
-                    initial_sidebar_state='collapsed')
-
-st.header("Generate Project Idea 🤖")
-
-input_text=st.text_input("Enter the Topic")
-
-
-## creating to more columns for additonal 2 fields
-
-col1,col2=st.columns([5,5])
-
-with col1:
-    no_words=st.text_input('Keywords')
-with col2:
-    blog_style=st.selectbox('Generating project idea for',
-                            ('Researchers','Data Scientist','Software Developer','Common People', " "),index=0)
-    
-submit=st.button("Generate")
-
-## Final response
-if submit:
+import streamlit as st
+from langchain.prompts import PromptTemplate
+from langchain.llms import CTransformers
+
+## Function To get response from LLAma 2 model
+
+def getLLamaresponse(input_text,keywords,blog_style):
+
+    ### LLama2 model
+    llm=CTransformers(model="models/llama-2-7b-chat.ggmlv3.q2_K.bin",
+                      model_type='llama',
+                      config={'max_new_tokens':50,
+                              'temperature':0.01})
+    
+    ## Prompt Template
+
+    template="""
+        Generate sql command for {blog_style}  {input_text}  {keywords}.
+            """
+    
+    prompt=PromptTemplate(input_variables=["blog_style","input_text",'keywords'],
+                          template=template)
+    
+    ## Generate the ressponse from the LLama 2 model
+    response=llm(prompt.format(blog_style=blog_style,input_text=input_text,keywords=keywords))
+    print(response)
+    return response
+
+st.set_page_config(page_title="Generate Project Idea",
+                    page_icon='🤖',
+                    layout='centered',
+                    initial_sidebar_state='collapsed')
+
+st.header("Generate Project Idea 🤖")
+
+input_text=st.text_input("Enter the Topic")
+
+
+## creating to more columns for additonal 2 fields
+
+col1,col2=st.columns([5,5])
+
+with col1:
+    no_words=st.text_input('Keywords')
+with col2:
+    blog_style=st.selectbox('Generating project idea for',
+                            ('Researchers','Data Scientist','Software Developer','Common People', " "),index=0)
+    
+submit=st.button("Generate")
+
+## Final response
+if submit:
     st.write(getLLamaresponse(input_text,no_words,blog_style))