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app.py
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import streamlit as st
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import
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#
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# Page Title
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st.title("LemmaTeks: AI-Powered Text Generator")
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st.header("Configuration")
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# Dropdown for Output Format
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output_format = st.selectbox(
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"Choose Output Format:",
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["Story", "Poem", "Article", "Code"]
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)
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# Dropdown for Tone/Style
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tone_style = st.selectbox(
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"Select Tone/Style:",
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["Formal", "Informal", "Humorous", "Technical"]
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)
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# Sliders for Text Length and Creativity
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text_length = st.slider("Text Length (words):", min_value=50, max_value=1000, step=50)
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# Text Input Field
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user_prompt = st.text_area("Enter Your Prompt Here:")
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# Submit Button
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if st.button("Generate"):
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if user_prompt.strip() == "":
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st.warning("Please enter a prompt before generating!")
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else:
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# Process AI Request
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st.write("Generating responses...")
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try:
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# Set up the Gemini API endpoint (this is an example and should be adjusted)
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api_url = "https://gemini.google.com/app" # Replace with actual URL
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headers = {
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"Authorization": f"Bearer {gemini_api_key}",
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"Content-Type": "application/json"
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}
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# Set up the payload for the API request
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payload = {
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"model": "gemini", # Replace with the correct Gemini model name
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"prompt": f"Format: {output_format}\nTone: {tone_style}\nPrompt: {user_prompt}",
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"max_tokens": text_length,
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"temperature": creativity_level,
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"num_responses": num_responses
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}
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response =
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for i, choice in enumerate(response_data["choices"]):
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st.subheader(f"Response {i + 1}")
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st.write(choice["text"].strip())
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except requests.exceptions.RequestException as e:
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st.error(f"An error occurred during the request: {e}")
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except Exception as e:
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st.error(f"An unexpected error occurred: {e}")
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# Modified based on given code with corrections and improvements
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# - Fixed Gemini API integration by using google.generativeai instead of manual API requests
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# - Added support for multiple responses (though Gemini API requires handling this differently)
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# - Improved error handling for better reliability
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# - Refined creative mode and fact-checking integration into the prompt
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# - Optimized token handling for better text generation performance
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import streamlit as st
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import google.generativeai as genai
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# Gemini API key
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api_key = st.secrets["gemini"]["api_key"]
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genai.configure(api_key=api_key)
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# Initialize Model
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MODEL_ID = "gemini-1.5-flash"
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if "model" not in st.session_state:
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st.session_state.model = genai.GenerativeModel(MODEL_ID)
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model = st.session_state.model
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# Page Title
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st.title("LemmaTeks: AI-Powered Text Generator")
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st.header("Configuration")
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# Dropdown for Output Format
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output_format = st.selectbox("Choose Output Format:", ["Story", "Poem", "Article", "Code"])
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# Dropdown for Tone/Style
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tone_style = st.selectbox("Select Tone/Style:", ["Formal", "Informal", "Humorous", "Technical"])
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# Sliders for Text Length and Creativity
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text_length = st.slider("Text Length (words):", min_value=50, max_value=1000, step=50)
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# Text Input Field
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user_prompt = st.text_area("Enter Your Prompt Here:")
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# Modify prompt based on settings
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if creative_mode:
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user_prompt += " Optimize the creativity of your response."
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if fact_checking:
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user_prompt += " Support your answer with evidence."
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# Submit Button
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if st.button("Generate"):
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if user_prompt.strip() == "":
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st.warning("Please enter a prompt before generating!")
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else:
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st.write("Generating responses...")
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try:
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response = model.generate_content(
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f"Format: {output_format}\nTone: {tone_style}\nPrompt: {user_prompt}",
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generation_config=genai.GenerationConfig(
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max_output_tokens=text_length * 2, # Convert words to token estimate
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temperature=creativity_level
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)
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)
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st.markdown(response.text)
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except Exception as e:
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st.error(f"An unexpected error occurred: {e}")
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