Merge pull request #2509 from avinashkranjan/deepsource-transform-8ed010ff

format code with autopep8

Author: avinashkranjan

YT Script Writing Tool/app.py

@@ -1,4 +1,4 @@
-import streamlit as st 
+import streamlit as st
 from utils import generate_script
 
 # Applying Styling
@@ -17,43 +17,49 @@
 
 # Creating Session State Variable
 if 'API_Key' not in st.session_state:
-    st.session_state['API_Key'] =''
+    st.session_state['API_Key'] = ''
 
 
-st.title('❤️ YouTube Script Writing Tool') 
+st.title('❤️ YouTube Script Writing Tool')
 
 # Sidebar to capture the OpenAi API key
 st.sidebar.title("😎🗝️")
-st.session_state['API_Key']= st.sidebar.text_input("What's your API key?",type="password")
-st.sidebar.image('./Youtube.jpg',width=300, use_column_width=True)
+st.session_state['API_Key'] = st.sidebar.text_input(
+    "What's your API key?", type="password")
+st.sidebar.image('./Youtube.jpg', width=300, use_column_width=True)
 
 
 # Captures User Inputs
-prompt = st.text_input('Please provide the topic of the video',key="prompt")  # The box for the text prompt
-video_length = st.text_input('Expected Video Length 🕒 (in minutes)',key="video_length")  # The box for the text prompt
-creativity = st.slider('Words limit ✨ - (0 LOW || 1 HIGH)', 0.0, 1.0, 0.2,step=0.1)
+# The box for the text prompt
+prompt = st.text_input('Please provide the topic of the video', key="prompt")
+# The box for the text prompt
+video_length = st.text_input(
+    'Expected Video Length 🕒 (in minutes)', key="video_length")
+creativity = st.slider(
+    'Words limit ✨ - (0 LOW || 1 HIGH)', 0.0, 1.0, 0.2, step=0.1)
 
 submit = st.button("Generate Script for me")
 
 
 if submit:
-    
+
     if st.session_state['API_Key']:
-        search_result,title,script = generate_script(prompt,video_length,creativity,st.session_state['API_Key'])
-        #Let's generate the script
+        search_result, title, script = generate_script(
+            prompt, video_length, creativity, st.session_state['API_Key'])
+        # Let's generate the script
         st.success('Hope you like this script ❤️')
 
-        #Display Title
+        # Display Title
         st.subheader("Title:🔥")
         st.write(title)
 
-        #Display Video Script
+        # Display Video Script
         st.subheader("Your Video Script:📝")
         st.write(script)
 
-        #Display Search Engine Result
+        # Display Search Engine Result
         st.subheader("Check Out - DuckDuckGo Search:🔍")
-        with st.expander('Show me 👀'): 
+        with st.expander('Show me 👀'):
             st.info(search_result)
     else:
-        st.error("Ooopssss!!! Please provide API key.....")
+        st.error("Ooopssss!!! Please provide API key.....")

YT Script Writing Tool/utils.py

@@ -4,38 +4,40 @@
 from langchain.tools import DuckDuckGoSearchRun
 
 # Function to generate video script
-def generate_script(prompt,video_length,creativity,api_key):
-    
+
+
+def generate_script(prompt, video_length, creativity, api_key):
+
     # Template for generating 'Title'
     title_template = PromptTemplate(
-        input_variables = ['subject'], 
+        input_variables=['subject'],
         template='Please come up with a title for a YouTube video on the  {subject}.'
-        )
+    )
 
     # Template for generating 'Video Script' using search engine
     script_template = PromptTemplate(
-        input_variables = ['title', 'DuckDuckGo_Search','duration'], 
+        input_variables=['title', 'DuckDuckGo_Search', 'duration'],
         template='Create a script for a YouTube video based on this title for me. TITLE: {title} of duration: {duration} minutes using this search data {DuckDuckGo_Search} '
     )
 
-    #Setting up OpenAI LLM
-    llm = OpenAI(temperature=creativity,openai_api_key=api_key,
-            model_name='gpt-3.5-turbo') 
-    
-    #Creating chain for 'Title' & 'Video Script'
+    # Setting up OpenAI LLM
+    llm = OpenAI(temperature=creativity, openai_api_key=api_key,
+                 model_name='gpt-3.5-turbo')
+
+    # Creating chain for 'Title' & 'Video Script'
     title_chain = LLMChain(llm=llm, prompt=title_template, verbose=True)
     script_chain = LLMChain(llm=llm, prompt=script_template, verbose=True)
 
-    
     # https://python.langchain.com/docs/modules/agents/tools/integrations/ddg
     search = DuckDuckGoSearchRun()
 
     # Executing the chains we created for 'Title'
     title = title_chain.run(prompt)
 
     # Executing the chains we created for 'Video Script' by taking help of search engine 'DuckDuckGo'
-    search_result = search.run(prompt) 
-    script = script_chain.run(title=title, DuckDuckGo_Search=search_result,duration=video_length)
+    search_result = search.run(prompt)
+    script = script_chain.run(
+        title=title, DuckDuckGo_Search=search_result, duration=video_length)
 
     # Returning the output
-    return search_result,title,script
+    return search_result, title, script