1038 - Streamlit bot with LocalAI (#1072)

**Description**

This PR fixes #1038

Added Streamlit example and also updated readme for examples.


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examples/streamlit-bot/Main.py

@@ -0,0 +1,70 @@
+import streamlit as st
+import time
+import requests
+import json
+
+def ask(prompt):
+    url = 'http://localhost:8080/v1/chat/completions'
+    myobj = {
+        "model": "ggml-gpt4all-j.bin",
+        "messages": [{"role": "user", "content": prompt}],
+        "temperature": 0.9
+    }
+    myheaders = { "Content-Type" : "application/json" }  
+
+    x = requests.post(url, json = myobj, headers=myheaders)
+    
+    print(x.text)
+    
+    json_data = json.loads(x.text)
+
+    return json_data["choices"][0]["message"]["content"]
+
+
+def main():
+    # Page setup
+    st.set_page_config(page_title="Ask your LLM")
+    st.header("Ask your Question 💬")
+
+    # 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"])
+
+    # Scroll to bottom
+    st.markdown(
+        """
+        <script>
+        var element = document.getElementById("end-of-chat");
+        element.scrollIntoView({behavior: "smooth"});
+        </script>
+        """,
+        unsafe_allow_html=True,
+    )   
+
+    # React to user input
+    if prompt := st.chat_input("What is up?"):
+        # Display user message in chat message container
+        st.chat_message("user").markdown(prompt)
+        # Add user message to chat history
+        st.session_state.messages.append({"role": "user", "content": prompt})
+        print(f"User has asked the following question: {prompt}")
+        
+        # Process
+        response = ""
+        with st.spinner('Processing...'):
+            response = ask(prompt)
+            
+        #response = f"Echo: {prompt}"
+        # Display assistant response in chat message container
+        with st.chat_message("assistant"):
+            st.markdown(response)
+        # Add assistant response to chat history
+        st.session_state.messages.append({"role": "assistant", "content": response})     
+
+if __name__ == "__main__":
+    main()