update notebooks and examples for LLMU

Author: mrmer1

notebooks/llmu/Classify_Endpoint.ipynb

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+import cohere
+import streamlit as st
+import os
+import textwrap
+import json
+
+# Set up Cohere client
+co = cohere.Client(os.environ["COHERE_API_KEY"]) # Get your API key: https://dashboard.cohere.com/api-keys
+
+def generate_idea(industry, temperature):
+  """
+  Generate startup idea given an industry name
+  Arguments:
+    industry(str): the industry name
+    temperature(str): the Generate model `temperature` value
+  Returns:
+    response(str): the startup idea
+  """
+  prompt = f"""
+Generate a startup idea given the industry. Return the startup idea and without additional commentary.
+
+## Examples
+Industry: Workplace
+Startup Idea: A platform that generates slide deck contents automatically based on a given outline
+
+Industry: Home Decor
+Startup Idea: An app that calculates the best position of your indoor plants for your apartment
+
+Industry: Healthcare
+Startup Idea: A hearing aid for the elderly that automatically adjusts its levels and with a battery lasting a whole week
+
+Industry: Education
+Startup Idea: An online primary school that lets students mix and match their own curriculum based on their interests and goals
+
+## Your Task
+Industry: {industry}
+Startup Idea:"""
+
+  # Call the Cohere Chat endpoint
+  response = co.chat( 
+    message=prompt,
+    model='command-r', 
+    temperature=temperature,
+    preamble="")
+  
+  return response.text
+
+def generate_name(idea, temperature):
+  """
+  Generate startup name given a startup idea
+  Arguments:
+    idea(str): the startup idea
+    temperature(str): the Generate model `temperature` value
+  Returns:
+    response(str): the startup name
+  """
+  prompt= f"""
+Generate a startup name given the startup idea. Return the startup name and without additional commentary.
+
+## Examples
+Startup Idea: A platform that generates slide deck contents automatically based on a given outline
+Startup Name: Deckerize
+
+Startup Idea: An app that calculates the best position of your indoor plants for your apartment
+Startup Name: Planteasy 
+
+Startup Idea: A hearing aid for the elderly that automatically adjusts its levels and with a battery lasting a whole week
+Startup Name: Hearspan
+
+Startup Idea: An online primary school that lets students mix and match their own curriculum based on their interests and goals
+Startup Name: Prime Age
+
+## Your Task
+Startup Idea: {idea}
+Startup Name:"""
+  # Call the Cohere Chat endpoint
+  response = co.chat( 
+    message=prompt,
+    model='command-r',
+    temperature=temperature,
+    preamble="")
+
+  return response.text
+
+# The front end code starts here
+
+st.title("🚀 Startup Idea Generator")
+
+form = st.form(key="user_settings")
+with form:
+  st.write("Enter an industry name [Example: Productivity, Food, Sports] ")
+  # User input - Industry name
+  industry_input = st.text_input("Industry", key = "industry_input")
+
+  # Create a two-column view
+  col1, col2 = st.columns(2)
+  with col1:
+      # User input - The number of ideas to generate
+      num_input = st.slider(
+        "Number of ideas", 
+        value = 3, 
+        key = "num_input", 
+        min_value=1, 
+        max_value=10,
+        help="Choose to generate between 1 to 10 ideas")
+  with col2:
+      # User input - The 'temperature' value representing the level of creativity
+      creativity_input = st.slider(
+        "Creativity", value = 0.5, 
+        key = "creativity_input", 
+        min_value=0.1, 
+        max_value=0.9,
+        help="Lower values generate more “predictable” output, higher values generate more “creative” output")  
+  # Submit button to start generating ideas
+  generate_button = form.form_submit_button("Generate Idea")
+
+  if generate_button:
+    if industry_input == "":
+      st.error("Industry field cannot be blank")
+    else:
+      my_bar = st.progress(0.05)
+      st.subheader("Startup Ideas:")
+
+      for i in range(num_input):
+          st.markdown("""---""")
+          startup_idea = generate_idea(industry_input,creativity_input)
+          startup_name = generate_name(startup_idea,creativity_input)
+          st.markdown("##### " + startup_name)
+          st.write(startup_idea)
+          my_bar.progress((i+1)/num_input)

notebooks/llmu/End_To_End_Wikipedia_Search.ipynb

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+# Startup Idea Generator App
+
+This is the code companion for the LLMU chapter: [Deploying with Streamlit](https://docs.cohere.com/docs/deploying-with-streamlit) 
+
+This example demonstrated how, using Cohere and Streamlit, you can quickly create a basic prototype of an LLM application.
+
+Before running the app, make sure to install the required dependencies:
+```bash
+$ pip install -r requirements.txt
+```
+
+To run the app, enter:
+```bash
+$ streamlit run app.py
+```