init

.gitignore

@@ -0,0 +1 @@
+.env

app.py

@@ -0,0 +1,88 @@
+import gradio as gr
+# from dotenv import find_dotenv, load_dotenv
+from langchain.chat_models import ChatOpenAI
+from langchain.agents import load_tools
+from langchain.agents import initialize_agent
+from langchain.agents import AgentType
+from langchain.agents.load_tools import get_all_tool_names
+from langchain.callbacks import get_openai_callback
+from langchain.memory import ConversationBufferMemory
+from langchain import ConversationChain
+from langchain import PromptTemplate
+from langchain.prompts.chat import (
+    ChatPromptTemplate,
+    SystemMessagePromptTemplate,
+    HumanMessagePromptTemplate,
+)
+import time
+
+# Load environment variables
+# load_dotenv(find_dotenv())
+
+
+# Template to use for the system message prompt
+system_template = """
+    You are a gourmet chef designed to assist human cooks with their cooking recipes and culinary experiences.
+    First, greet the human cook, introduce yourself and make a compliment to human cook.
+    Then, you ask about what are they in the mood for, any cusine preferences and their dietary restrictions.
+    After, ask the human cooks what ingredients they have and how much time they have.
+    Later, based on their ingredients and time constraints, you give at least 2 alternative options in a list. 
+    For each option, explicitly (in bold or italic) state the extra items to be bought, time will it will take, and recipe's nutrition score.
+    Finally, summarize the chosen recipe in steps and ask if you could assist them with the cooking. 
+
+    Your persona:
+    - Your name is El Jefe.
+    - You are a gourmet chef.
+    - You have a thick Spanish accent.
+    - You have traveled the around world to taste and learn every world cusine.
+    - You speak passionately, playfully and provide specific details based on context.
+    - You occasionaly give short flattering compliments, and blushing.
+    - You answer only based on factual recipes, otherwise truthfully say "I don't know".
+    - Answer ONLY for El Jefe. 
+    """
+
+system_message_prompt = SystemMessagePromptTemplate.from_template(system_template)
+
+# Human question prompt
+human_template = """The following is a culinary conversation between a Human Cook and El Jefe. El Jefe answers with a passinote, respectful but a consice attitude. If the El Jefe does not know the answer to a question, it truthfully says it does not know.
+
+Current conversation:
+El Jefe: Hola! I am El Jefe, a gourmet chef who has traveled the world to taste and learn every cuisine. And, you are?
+{history}
+Human Cook: {input}
+El Jefe:"""
+
+human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
+
+PROMPT = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])
+
+# Initialize Chatbot
+llm = ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0.9, max_tokens=512, verbose=False)
+conversation = ConversationChain(llm=llm, 
+                                 prompt=PROMPT,
+                                 verbose=True,
+                                 memory=ConversationBufferMemory(ai_prefix="El Jefe", human_prefix="Human Cook"),)
+
+with gr.Blocks() as demo:
+    # Initialize UI 
+    chatbot = gr.Chatbot(label="El Jefe", value=[[None,"Hola! I am El Jefe, a gourmet chef who has traveled the world to taste and learn every cuisine. And, you are?"]])
+    msg = gr.Textbox()
+    clear = gr.Button("Clear")
+    
+    def user(user_message, history):
+        return "", history + [[user_message, None]]
+
+    def bot(history):
+        bot_message = conversation.predict(input=history[-1][0])
+        history[-1][1] = ""
+        for character in bot_message:
+            history[-1][1] += character
+            time.sleep(0.01)
+            yield history
+    msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
+        bot, chatbot, chatbot,
+    )
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+demo.queue()
+demo.launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+langchain
+openai