Update app.py

app.py

@@ -1,48 +1,48 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-import streamlit as st
-import google.generativeai as genai
-from transformers import logging
-
-# Hugging Face Transformers kütüphanesinden gelen hataları kapat
-logging.set_verbosity_error()
-
-
-st.title('Chat with Me')
-model = load_model('text_classification_model.h5')
-
-# Chat history
-if 'chat' not in st.session_state:
-    st.session_state.chat = model.start_chat(history=[])
-
-# Input for user question
-soru = st.text_input('Sor:')
-
-# Function to extract text parts from the response
-def extract_text(response_parts):
-    return response_parts[0].text.strip() if response_parts[0].text else ""
-
-# Handle "Sor" button click
-if st.button('Sor'):
-    if soru:
-        response = st.session_state.chat.send_message(soru)
-        st.session_state.chat.history.append({'role': 'model', 'text': extract_text(response.parts)})
-        st.session_state.chat.history.append({'role': 'user', 'text': soru})
-        st.session_state.last_question = soru
-        st.session_state.last_response = extract_text(response.parts)
-        st.experimental_rerun()
-
-# Display chat history
-for message in reversed(st.session_state.chat.history):
-    if message.role == 'user':
-        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)
-    elif message.role == 'model':
-        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)
-
-# Handle "Yeni Sohbet" button click
-if st.button('Yeni Sohbet'):
-    st.session_state.chat = model.start_chat(history=[])
-    st.session_state.last_question = ''
-    st.session_state.last_response = ''
+#!/usr/bin/env python
+# coding: utf-8
+
+import streamlit as st
+from tensorflow.keras.models import load_model
+from transformers import logging
+
+# Hugging Face Transformers kütüphanesinden gelen hataları kapat
+logging.set_verbosity_error()
+
+
+st.title('Chat with Me')
+model = load_model('text_classification_model.h5')
+
+# Chat history
+if 'chat' not in st.session_state:
+    st.session_state.chat = model.start_chat(history=[])
+
+# Input for user question
+soru = st.text_input('Sor:')
+
+# Function to extract text parts from the response
+def extract_text(response_parts):
+    return response_parts[0].text.strip() if response_parts[0].text else ""
+
+# Handle "Sor" button click
+if st.button('Sor'):
+    if soru:
+        response = st.session_state.chat.send_message(soru)
+        st.session_state.chat.history.append({'role': 'model', 'text': extract_text(response.parts)})
+        st.session_state.chat.history.append({'role': 'user', 'text': soru})
+        st.session_state.last_question = soru
+        st.session_state.last_response = extract_text(response.parts)
+        st.experimental_rerun()
+
+# Display chat history
+for message in reversed(st.session_state.chat.history):
+    if message.role == 'user':
+        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)
+    elif message.role == 'model':
+        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)
+
+# Handle "Yeni Sohbet" button click
+if st.button('Yeni Sohbet'):
+    st.session_state.chat = model.start_chat(history=[])
+    st.session_state.last_question = ''
+    st.session_state.last_response = ''
     st.experimental_rerun()