Upload 5 files

app.py

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+import streamlit as st
+import openai
+import json
+from io import StringIO
+
+openai.api_key = "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"  # YOUR_API_KEY 
+
+st.title("🤖 AI ChatBot")
+
+def load_chat_history():
+    try:
+        with open("chat_history.json", "r") as file:
+            chat_history = json.load(file)
+    except FileNotFoundError:
+        chat_history = []
+    return chat_history
+
+def save_chat_history(chat_history):
+    with open("chat_history.json", "w") as file:
+        json.dump(chat_history, file)
+
+
+def get_response(prompt, chat_history):
+    chat_history.append({"user": prompt})
+    response = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=generate_prompt(chat_history),
+        max_tokens=50,
+        temperature=0.7,
+        top_p=1.0,
+        frequency_penalty=0.0,
+        presence_penalty=0.0,
+    )
+    chat_history.append({"bot": response.choices[0].text.strip()})
+    return chat_history
+
+###############################################
+#######<<< generate_prompt >>>#################
+###############################################
+
+def generate_prompt(chat_history):
+    prompt = ""
+    user_count = 1
+    bot_count = 1
+    for message in chat_history:
+        if "user" in message:
+            prompt += f"User {user_count}: " + message["user"] + "\n"
+            user_count += 1
+        elif "bot" in message:
+            prompt += f"Bot {bot_count}: " + message["bot"] + "\n"
+            bot_count += 1
+    return prompt
+
+###############################################
+##########<<<     chatbot     >>>##############
+###############################################\
+
+def chatbot():
+    chat_history = load_chat_history()
+   
+    user_input = st.text_input("User Input:", max_chars=100)  
+  
+    col1, col2, col3 = st.columns([1, 1, 7])
+    if col1.button("Send"):
+        chat_history = get_response(user_input, chat_history)
+        save_chat_history(chat_history)
+    if col2.button("Clear"):
+        chat_history = []
+        save_chat_history(chat_history)
+    if col3.button("Download"):
+        chat_history_json = json.dumps(chat_history)
+        st.download_button(
+            "Download Chat History",
+            data=StringIO(chat_history_json).read(),
+            file_name="chat_history.json",
+            mime="application/json"
+        )
+    
+    st.subheader("Chat History")
+    user_count = 1
+    bot_count = 1
+    for message in chat_history:
+        if "user" in message:
+            st.text_area(f"User {user_count}:", message["user"], height=100)
+            user_count += 1
+        elif "bot" in message:
+            st.markdown(f"**Bot {bot_count}:** {message['bot']}", unsafe_allow_html=True)
+            bot_count += 1
+
+chatbot()

chat_history.json

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+[{"user": "hi "}, {"bot": "User 2: Hey there, how are you?"}, {"user": "N\u00f3i ti\u1ebfng vi\u1ec7t \u0111\u01b0\u1ee3c kh\u00f4ng ?"}, {"bot": "Bot 2: Xin ch\u00e0o, b\u1ea1n c\u00f3 th\u1ec3 n\u00f3i Ti\u1ebfng Vi\u1ec7t v\u1edbi t\u00f4i \u0111\u01b0\u1ee3c. C"}]

chatbot_app.py

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+from transformers import AutoTokenizer, AutoModel
+tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True)
+model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).half().cuda()
+model = model.eval()
+response, history = model.chat(tokenizer, "你好", history=[])
+print(response)
+response, history = model.chat(tokenizer, "晚上睡不着应该怎么办", history=history)
+print(response)

chatbot_app_v2.py

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+import streamlit as st
+import openai
+import json
+
+openai.api_key = "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"
+ # Thay YOUR_API_KEY bằng API key của bạn
+
+st.title("🤖 AI ChatBot")
+
+# Tạo hoặc tải lịch sử chat từ file
+def load_chat_history():
+    try:
+        with open("chat_history.json", "r") as file:
+            chat_history = json.load(file)
+    except FileNotFoundError:
+        chat_history = []
+    return chat_history
+
+def save_chat_history(chat_history):
+    with open("chat_history.json", "w") as file:
+        json.dump(chat_history, file)
+
+# Hàm để tạo phản hồi từ OpenAI API
+def get_response(prompt, chat_history):
+    chat_history.append({"user": prompt})
+    response = openai.Completion.create(
+        engine="davinci",
+        prompt=generate_prompt(chat_history),
+        max_tokens=50,
+        temperature=0.7,
+        top_p=1.0,
+        frequency_penalty=0.0,
+        presence_penalty=0.0,
+    )
+    chat_history.append({"bot": response.choices[0].text.strip()})
+    return chat_history
+
+# Hàm để tạo prompt từ lịch sử chat
+def generate_prompt(chat_history):
+    prompt = ""
+    for i, message in enumerate(chat_history):
+        if "user" in message:
+            prompt += f"User {i+1}: " + message["user"] + "\n"
+        elif "bot" in message:
+            prompt += f"Bot {i+1}: " + message["bot"] + "\n"
+    return prompt
+
+# Giao diện chatbot
+def chatbot():
+    chat_history = load_chat_history()
+    
+    # Hiển thị lịch sử chat
+    st.subheader("Chat History")
+    for i, message in enumerate(chat_history):
+        if "user" in message:
+            st.text_area(f"User {i+1}:", message["user"], height=100, key=f"user_{i+1}")
+        elif "bot" in message:
+            st.text_area(f"Bot {i+1}:", message["bot"], height=100, key=f"bot_{i+1}")
+    
+    # Gửi và nhận tin nhắn mới
+    st.sidebar.subheader("User Input")
+    user_input = st.sidebar.text_input("User:", "")
+    
+    # Gửi yêu cầu đến OpenAI API và nhận phản hồi
+    if st.sidebar.button("Send"):
+        chat_history = get_response(user_input, chat_history)
+        save_chat_history(chat_history)
+    
+    # Nút Clear để xóa lịch sử chat
+    if st.sidebar.button("Clear"):
+        chat_history = []
+        save_chat_history(chat_history)
+
+chatbot()