Update utils.py

utils.py

@@ -0,0 +1,44 @@
+from langchain.llms import HuggingFaceHub
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+from langchain.tools import DuckDuckGoSearchRun
+
+# Function to generate video script
+def generate_script(prompt,video_length,creativity,api_key):
+    
+    # Template for generating 'Title'
+    title_template = PromptTemplate(
+        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'], 
+        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
+    model_kwargs = {
+        'temperature': creativity
+    }
+    
+    llm = HuggingFaceHub(repo_id ="HuggingFaceH4/zephyr-7b-gemma-v0.1", model_kwargs = model_kwargs)
+    
+    #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)
+
+    # Returning the output
+    return search_result,title,script