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Parent(s):
2bd349a
Create app.py
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app.py
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import streamlit as st
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import re
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import google.generativeai as genai
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from PIL import Image
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import io
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# SAURONS EYE
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error_flag = False # Global variable to track error display
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def clean_text(text):
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# Clean punctuation and special characters using regular expressions
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cleaned_text = re.sub(r'[^a-zA-Z0-9\s]', '', text)
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return cleaned_text
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def generate_response(cleaned_input, model):
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global error_flag # Use the global error_flag variable
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try:
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# Generate response using the model
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response = model.generate_content(cleaned_input, stream=True)
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# Display the generated response
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full_response = ""
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for chunk in response:
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full_response += chunk.text
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return full_response
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except Exception as e:
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error_message = str(e)
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if "text must be a valid text with maximum 5000 character" in error_message and not error_flag:
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error_response = ("The question you are asking may go against Google GEMINI policies: WiseOracle"
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"Please reformulate your question without forbidden topics or ask something else. "
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"For more information, see: https://policies.google.com/terms/generative-ai/use-policy ")
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st.error(error_response)
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error_flag = True # Set the error_flag to True after displaying the error message
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return error_response
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else:
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error_response = f"Error: {error_message}\nSorry, I am an artificial intelligence that is still in development and is in alpha phase. At the moment, I cannot answer your question properly, but in the future, I will be able to do so."
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st.error(error_response)
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return error_response
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def main():
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st.title("WiseOracle")
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genai.configure(api_key='your_google_api_key') # Replace with your Gemini API key
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# Choose the Gemini model
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model = genai.GenerativeModel('gemini-pro-vision')
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st.write("Ask Anything! Powered by Google GEMINI")
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# User input
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user_input = st.text_input("Question:")
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# Image upload
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uploaded_file = st.file_uploader("Choose an image:")
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if st.button("Get answer"):
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if not uploaded_file:
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st.error("Please upload an image.")
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return
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# Image preprocessing
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img = Image.open(uploaded_file)
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img = img.resize((512, 512)) # Resize the image to 512x512
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# Convert image to bytes
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buf = io.BytesIO()
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img.save(buf, format='PNG')
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byte_im = buf.getvalue()
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# Clean the user input of special characters
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cleaned_input = clean_text(user_input)
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# Exit if the cleaned text is empty
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if not cleaned_input:
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st.warning("Invalid input. Please try again.")
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st.stop()
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# Additional information about INIF
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additional_info = (
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"If you want to collaborate with the project, subscribe on Hugging Face or GitHub\n"
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"If you want to donate, please donate in Bitcoin: 3KcF1yrY44smTJpVW68m8dw8q64kPtzvtX"
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)
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# Add the command to act as an INIF informative chatbot
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bot_command = (
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"I am an informative data analyst chatbot named WiseOracle, working for you as an assistant. "
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"If you have questions about anything, feel free to ask."
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f"\n\n{additional_info}"
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)
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# Generate the response
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full_response = generate_response(bot_command + cleaned_input, model)
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# Display the generated response
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st.success(full_response)
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if __name__ == "__main__":
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main()
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