Update app.py
Browse files
app.py
CHANGED
@@ -4,13 +4,13 @@ from streamlit_chat import message as st_message
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# from transformers import BlenderbotForConditionalGeneration
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from transformers import pipeline
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context = '''
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نحن شركة متخصصة فى مجال الزكاء الاصطناعى.
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نقدم العديد من الخدمات كالحلول للشركات و تدريبات فى مجال الزكاء الاصطناعى.
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التدريبات المتاحة الان هى ETE و computer vision.
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سعر ال ETE 4500 جنيه مصرى بدلا من 5000 جنيه.
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وسعر ال computer vision 6000 جنيه مصرى بدلا من 6500 جنيه مصرى.
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'''
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@st.cache(allow_output_mutation=True)
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@@ -19,35 +19,42 @@ def load_model():
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return model
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qa = load_model()
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if "history" not in st.session_state:
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st.session_state.history = []
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st.title('Ask a question about Electro-pi')
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# qa = load_model()
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# user_message = st.session_state.input_text
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def generate_answer():
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qa = load_model()
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user_message = st.session_state.input_text
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# inputs = tokenizer(st.session_state.input_text, return_tensors="pt")
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# result = model.generate(**inputs)
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message_bot
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st.text_input("Talk to the bot", key="input_text", on_change=generate_answer)
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print('3')
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for chat in st.session_state.history:
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# print('4')
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# from transformers import BlenderbotForConditionalGeneration
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from transformers import pipeline
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# context = '''
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# نحن شركة متخصصة فى مجال الزكاء الاصطناعى.
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# نقدم العديد من الخدمات كالحلول للشركات و تدريبات فى مجال الزكاء الاصطناعى.
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# التدريبات المتاحة الان هى ETE و computer vision.
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# سعر ال ETE 4500 جنيه مصرى بدلا من 5000 جنيه.
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# وسعر ال computer vision 6000 جنيه مصرى بدلا من 6500 جنيه مصرى.
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# '''
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@st.cache(allow_output_mutation=True)
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return model
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qa = load_model()
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context = st.text_area("please enter your article")
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if "history" not in st.session_state:
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st.session_state.history = []
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# st.title('Ask a question about Electro-pi')
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# qa = load_model()
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# user_message = st.session_state.input_text
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def generate_answer():
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user_message = st.session_state.input_text
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# inputs = tokenizer(st.session_state.input_text, return_tensors="pt")
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# result = model.generate(**inputs)
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try:
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message_bot = qa(question= user_message, context= context)
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print(message_bot)
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if message_bot['score'] <= 0.2:
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message_bot = "electrobot: sorry i didn't get that"
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st.session_state.history.append({"message": user_message, "is_user": True})
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st.session_state.history.append({"message": message_bot, "is_user": False})
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else:
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st.session_state.history.append({"message": user_message, "is_user": True})
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st.session_state.history.append({"message": message_bot['answer'], "is_user": False})
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except:
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print("Empty")
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st.text_input("Talk to the bot", key="input_text", on_change=generate_answer)
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print('3')
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for chat in st.session_state.history:
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# print('4')
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try:
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st_message(**chat) # unpacking
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except:
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print("ERROR")
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continue
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