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Update app.py
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app.py
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import os
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import streamlit as st
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import anthropic
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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# Retrieve the API key from environment variables
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api_key = os.getenv("
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# Initialize the Anthropic client with the API key
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client =
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# Define the functions to generate content
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def generate_game_environment(environment_description):
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message = client.
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model="claude-3-5-sonnet-20240620",
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max_tokens=150,
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temperature=0.7,
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system="You are an expert in world-building. Generate a detailed description of a game environment based on the input.",
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messages=[
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}
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]
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}
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]
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)
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return message.
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def generate_protagonist(protagonist_description):
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message = client.
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model="claude-3-5-sonnet-20240620",
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max_tokens=150,
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temperature=0.7,
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system="You are an expert in character creation. Generate a detailed description of a game protagonist based on the input.",
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messages=[
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}
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]
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}
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]
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)
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return message.
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def generate_antagonist(antagonist_description):
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message = client.
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model="claude-3-5-sonnet-20240620",
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max_tokens=150,
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temperature=0.7,
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system="You are an expert in villain creation. Generate a detailed description of a game antagonist based on the input.",
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messages=[
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}
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]
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}
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]
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)
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return message.
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def generate_game_story(environment, protagonist, antagonist):
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story_prompt = (f"Create a detailed game story based on the following inputs:\n"
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f"Game Environment: {environment}\n"
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f"Protagonist: {protagonist}\n"
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f"Antagonist: {antagonist}")
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max_tokens= 150,
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temperature=0.7,
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system="You are a master storyteller. Generate a detailed game story based on the inputs provided.",
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messages=[
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}
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]
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}
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]
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)
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return message.
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# App Title
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st.title("StoryForge")
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import os
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import streamlit as st
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from dotenv import load_dotenv
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from groq import Groq
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# Load environment variables from .env file
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load_dotenv()
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# Retrieve the API key from environment variables
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api_key = os.getenv("groq_api_key")
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# Initialize the Anthropic client with the API key
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client = Groq(api_key=api_key)
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# Define the functions to generate content
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def generate_game_environment(environment_description):
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message = client.chat.completions.create(
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messages=[
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{
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"role": "user",
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"content": f"You are an expert in world-building. Generate a detailed description of a game environment based on the input. Create a detailed description of a game environment based on this input: {environment_description}",
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}
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],
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model="llama-3.3-70b-versatile",
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)
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return message.choices[0].message.content
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def generate_protagonist(protagonist_description):
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message = client.chat.completions.create(
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messages=[
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{
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"role": "user",
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"content": f"You are an expert in character creation. Generate a detailed description of a game protagonist based on the input. Create a detailed description of a game protagonist based on this input: {protagonist_description}",
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}
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],
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model="llama-3.3-70b-versatile",
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)
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return message.choices[0].message.content
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def generate_antagonist(antagonist_description):
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message = client.chat.completions.create(
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messages=[
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{
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"role": "user",
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"content": f"You are an expert in villain creation. Generate a detailed description of a game antagonist based on the input. Create a detailed description of a game antagonist based on this input: {antagonist_description}.",
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}
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],
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model="llama-3.3-70b-versatile",
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)
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return message.choices[0].message.content
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def generate_game_story(environment, protagonist, antagonist):
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story_prompt = (f"Create a detailed game story based on the following inputs:\n"
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f"Game Environment: {environment}\n"
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f"Protagonist: {protagonist}\n"
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f"Antagonist: {antagonist}")
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message = client.chat.completions.create(
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messages=[
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{
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"role": "user",
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"content": f"You are a master storyteller. Generate a detailed game story based on the inputs provided.\n {story_prompt}",
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}
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],
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model="llama-3.3-70b-versatile",
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)
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return message.choices[0].message.content
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# App Title
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st.title("StoryForge")
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