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import streamlit as st
import google.generativeai as genai
# Configure API Key
GOOGLE_API_KEY = st.secrets["GEMINI_API_KEY"]
genai.configure(api_key=GOOGLE_API_KEY)
# Select Gemini Model
gemini_model = genai.GenerativeModel("gemini-2.0-flash")
# Streamlit App Layout
st.title('PromptLab')
# Mode Selection (Shinobi & Raikage)
mode = st.radio("Select a mode:", ["π Shinobi", "β‘ Raikage"], horizontal=True)
# User Input
st.subheader("Enter Your Prompt:")
user_prompt = st.text_area('Enter your prompt:')
# Function to Generate Enhanced Prompt
def get_gemini_response(prompt):
try:
response = gemini_model.generate_content(
prompt,
generation_config=genai.types.GenerationConfig(
temperature=0.7,
max_output_tokens=500,
candidate_count=1
)
)
return response.text if response else "Error: No response received."
except Exception as e:
return f"β Gemini error: {e}"
# Function to Format Prompt Based on Mode
def generate_enhanced_prompt(user_prompt, mode):
if mode == "π Shinobi":
system_prompt = "You are an expert in structured prompt design. Refine the following prompt for clarity, conciseness, and structured output."
elif mode == "β‘ Raikage":
system_prompt = "You are a world-class AI strategist specializing in execution-focused prompts. Transform the following prompt for high-impact, expert-level results."
# Generate response using Gemini API
return get_gemini_response(system_prompt + "\n\n" + user_prompt)
# Button to Submit the Prompt
if st.button("Generate Enhanced Prompt"):
if user_prompt.strip():
try:
with st.spinner("Enhancing prompt..."):
enhanced_prompt = generate_enhanced_prompt(user_prompt, mode)
st.subheader("Enhanced Prompt:")
st.write(enhanced_prompt) # Displaying the text from the response
except Exception as e:
st.error(f"Error: {e}")
else:
st.warning("Please enter a prompt before generating.")
# Footer
st.markdown("Built with π§ by Hruday & Google Gemini") |