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app.py

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+
+import gradio as gr
+from langchain.llms import GooglePalm
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain, SequentialChain
+import os
+
+from dotenv import load_dotenv
+
+def configure():
+    load_dotenv()
+
+
+def generate_game_name_and_functions(type):
+    os.getenv('GOOGLE_API_KEY')
+    configure()
+
+    llm = GooglePalm(temperature=0.5)
+
+    prompt_template_name = PromptTemplate(
+       input_variables=['type'],
+       template="I want to build a new, never build before {type} game, Suggest only one fancy and creative name"
+    )
+    name_chain = LLMChain(llm=llm, prompt=prompt_template_name, output_key="game_name")
+    
+    prompt_template_items = PromptTemplate(
+        input_variables=['game_name'],
+        template="You are a Gamer, Write a ten point 'About This Game' {game_name}.Write the general requiremnts for phone and system such as ram and graphic card etc. for this game. And how can we createe this {game_name} game in 10 steps, try to tell a technical person. Tell in bullet points and end every line with double comma"
+    )
+
+    function_chain = LLMChain(llm=llm, prompt=prompt_template_items, output_key='functions')
+
+    chain = SequentialChain(chains=[name_chain, function_chain], input_variables=["type"], output_variables=["game_name","functions"])
+
+    response = chain({'type': type})
+
+    game_name = response["game_name"].strip()
+    functions = response["functions"].strip().split(",,")
+    functions_formatted = "\n".join([f"🎮 {item}" for item in functions])
+
+    return f"{game_name}\n\n💡About The Game\n\n{functions_formatted}"
+
+iface = gr.Interface(
+    fn=generate_game_name_and_functions,
+    inputs="text",
+    outputs="text",
+    title="🎮 Game Idea Generator 🎮",
+    description="Generate creative game ideas based on a game type!",
+)
+
+iface.launch(share = False)

requirements.txt

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+langchain
+google.generativeai
+gradio