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README.md

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+---
+title: Turkish Chatbot
+emoji: 💬
+colorFrom: purple
+colorTo: pink
+sdk: streamlit
+sdk_version: 1.31.1
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+from openai import OpenAI
+import os
+import sys
+from dotenv import load_dotenv, dotenv_values
+load_dotenv()
+
+
+
+# initialize the client
+client = OpenAI(
+  base_url="https://hbzt3461o9xzjqxb.us-east-1.aws.endpoints.huggingface.cloud/v1/",
+  api_key=os.environ.get('HUGGINGFACEHUB_API_TOKEN')#"hf_xxx" # Replace with your token
+) 
+
+
+
+#Create model
+model_links ={
+    
+    "Turkish-7b-mix":"burak/Trendyol-Turkcell-stock"
+
+}
+
+#Pull info about the model to display
+model_info ={
+   
+    "Turkish-7b-mix":        
+    { 'description':"""Turkish-7b-Mix is a merge of pre-trained language models created using **mergekit**.\n \
+        ### Merge Method\n \
+
+    This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0](https://huggingface.co/Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0) as a base.\n \
+
+    ### Models Merged\n \
+
+    The following models were included in the merge:\n \
+        * [TURKCELL/Turkcell-LLM-7b-v1](https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1)\n \
+        * [Trendyol/Trendyol-LLM-7b-chat-v1.0](https://huggingface.co/Trendyol/Trendyol-LLM-7b-chat-v1.0)\n""",
+         
+     'logo': 'https://huggingface.co/spaces/burak/SimpleChatbot/resolve/main/icon.jpg'
+   
+},
+
+}
+
+def reset_conversation():
+    '''
+    Resets Conversation
+    '''
+    st.session_state.conversation = []
+    st.session_state.messages = []
+    return None
+    
+
+
+
+# Define the available models
+models =[key for key in model_links.keys()]
+
+# Create the sidebar with the dropdown for model selection
+selected_model = st.sidebar.selectbox("Select Model", models)
+
+#Create a temperature slider
+temp_values = st.sidebar.slider('Select a temperature value', 0.0, 1.0, (0.5))
+
+
+#Add reset button to clear conversation
+st.sidebar.button('Reset Chat', on_click=reset_conversation) #Reset button
+
+
+# Create model description
+st.sidebar.write(f"You're now chatting with **{selected_model}**")
+st.sidebar.markdown(model_info[selected_model]['description'])
+st.sidebar.image(model_info[selected_model]['logo'])
+st.sidebar.markdown("*Generated content may be inaccurate or false.*")
+
+
+
+if "prev_option" not in st.session_state:
+    st.session_state.prev_option = selected_model
+
+if st.session_state.prev_option != selected_model:
+    st.session_state.messages = []
+    # st.write(f"Changed to {selected_model}")
+    st.session_state.prev_option = selected_model
+    reset_conversation()
+
+
+
+#Pull in the model we want to use
+repo_id = model_links[selected_model]
+
+
+st.subheader(f'AI - {selected_model}')
+# st.title(f'ChatBot Using {selected_model}')
+
+# Set a default model
+if selected_model not in st.session_state:
+    st.session_state[selected_model] = model_links[selected_model] 
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+
+
+# Accept user input
+if prompt := st.chat_input(f"Hi I'm {selected_model}, ask me a question"):
+
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        stream = client.chat.completions.create(
+            model= model_links[selected_model],
+            messages=[
+                {"role": m["role"], "content": m["content"]}
+                for m in st.session_state.messages
+            ],
+            temperature=temp_values,#0.5,
+            stream=True,
+            max_tokens=500,
+                 
+        )
+        
+        response = st.write_stream(stream)  
+    st.session_state.messages.append({"role": "assistant", "content": response})

requirements.txt

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+openai
+langchain
+python-dotenv
+langchain-community