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Browse files- app.py +49 -0
- requirements.txt +3 -0
app.py
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#!/usr/bin/env python
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# coding: utf-8
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import streamlit as st
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import google.generativeai as genai
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from transformers import logging
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# Hugging Face Transformers kütüphanesinden gelen hataları kapat
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logging.set_verbosity_error()
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import os
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genai.configure(api_key=os.getenv("key"))
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st.title('ask me a question')
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model = genai.GenerativeModel('gemini-1.5-pro-latest')
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# Chat history
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if 'chat' not in st.session_state:
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st.session_state.chat = model.start_chat(history=[])
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# Input for user question
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soru = st.text_input('Sor:')
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# Function to extract text parts from the response
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def extract_text(response_parts):
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return response_parts[0].text.strip() if response_parts[0].text else ""
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# Handle "Sor" button click
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if st.button('Ask'):
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if soru:
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response = st.session_state.chat.send_message(soru)
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st.session_state.chat.history.append({'role': 'model', 'text': extract_text(response.parts)})
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st.session_state.chat.history.append({'role': 'user', 'text': soru})
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st.session_state.last_question = soru
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st.session_state.last_response = extract_text(response.parts)
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st.experimental_rerun()
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# Display chat history
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for message in reversed(st.session_state.chat.history):
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if message['role'] == 'user':
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st.markdown(f'<div style="text-align: right; background-color: #2F2F2F; padding: 10px; border-radius: 10px; margin: 10px; width: fit-content;">👤 Sen: {message["text"]}</div>', unsafe_allow_html=True)
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elif message['role'] == 'model':
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st.markdown(f'<div style="text-align: left; background-color: #2E2E2E; padding: 10px; border-radius: 10px; margin: 10px; width: fit-content;">🤖 Bot: {message["text"]}</div>', unsafe_allow_html=True)
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# Handle "Yeni Sohbet" button click
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if st.button('Yeni Sohbet'):
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st.session_state.chat = model.start_chat(history=[])
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st.session_state.last_question = ''
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st.session_state.last_response = ''
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st.experimental_rerun()
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requirements.txt
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streamlit
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google-generativeai
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transformers
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