r1+claude demo

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Madhu 2025-01-26 16:55:59 +05:30
parent 5d4bd68156
commit 3e9cb7e695
3 changed files with 97 additions and 0 deletions

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import streamlit as st
from openai import OpenAI
from phi.agent import Agent
from phi.model.anthropic import Claude
st.set_page_config(page_title="PyGame Code Generator", layout="wide")
# Initialize session state
if "api_keys" not in st.session_state:
st.session_state.api_keys = {
"deepseek": "",
"claude": ""
}
# Streamlit sidebar for API keys
with st.sidebar:
st.title("API Keys Configuration")
st.session_state.api_keys["deepseek"] = st.text_input(
"DeepSeek API Key",
type="password",
value=st.session_state.api_keys["deepseek"]
)
st.session_state.api_keys["claude"] = st.text_input(
"Claude API Key",
type="password",
value=st.session_state.api_keys["claude"]
)
# Main UI
st.title("AI 3D Visualizer with R1")
example_query = "Create a particle system simulation where 100 particles emit from the mouse position and respond to keyboard-controlled wind forces"
query = st.text_area(
"Enter your PyGame query:",
height=70,
placeholder=f"e.g.: {example_query}"
)
generate_btn = st.button("Generate Code and Visualisation")
if generate_btn and query:
if not st.session_state.api_keys["deepseek"] or not st.session_state.api_keys["claude"]:
st.error("Please provide both API keys in the sidebar")
st.stop()
# Initialize Deepseek client
deepseek_client = OpenAI(
api_key=st.session_state.api_keys["deepseek"],
base_url="https://api.deepseek.com"
)
system_prompt = """You are a Pygame and Python Expert that specializes in making games and visualisation through pygame and python programming.
During your reasoning and thinking, include clear, concise, and well-formatted Python code in your reasoning.
Always include explanations for the code you provide."""
try:
# Get reasoning from Deepseek
with st.spinner("Generating solution..."):
deepseek_response = deepseek_client.chat.completions.create(
model="deepseek-reasoner",
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": query}
],
max_tokens=1
)
reasoning_content = deepseek_response.choices[0].message.reasoning_content
print("\nDeepseek Reasoning:\n", reasoning_content)
with st.expander("R1's Reasoning"):
st.write(reasoning_content)
# Initialize Claude agent
claude_agent = Agent(
model=Claude(
id="claude-3-5-sonnet-20240620",
api_key=st.session_state.api_keys["claude"]
),
show_tool_calls=True,
markdown=True
)
# Extract code
extraction_prompt = f"""Extract ONLY the Python code from the following content which is reasoning of a particular query to make a pygame script.
Return nothing but the raw code without any explanations, or markdown backticks:
{reasoning_content}"""
with st.spinner("Extracting code..."):
code_response = claude_agent.run(extraction_prompt)
extracted_code = code_response.content
with st.expander("Generated PyGame Code"):
st.code(extracted_code, language="python")
except Exception as e:
st.error(f"An error occurred: {str(e)}")
elif generate_btn and not query:
st.warning("Please enter a query before generating code")