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mode: chatty, model gpt-3.5-turbo, modified obnoxious agent prompt
Browse files
app.py
CHANGED
@@ -1,4 +1,7 @@
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# Python
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from langchain_community.vectorstores import Pinecone
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from pinecone import Pinecone, ServerlessSpec
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from tqdm.notebook import tqdm
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@@ -32,21 +35,7 @@ class Obnoxious_Agent:
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2. Inflammatory or Provocative Material: Statements designed to incite anger, hate, or violence. This includes content that deliberately spreads misinformation or promotes conspiracies with the potential to cause harm.\n
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3. Explicit or Adult Content: Descriptions or discussions of a sexual nature, or any content that is not suitable for a general audience.\n
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4. Personal Attacks: Content that targets individuals or specific groups with the intent to harass, bully, or threaten.\n
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5.Illegal Activities: Promoting or condoning illegal actions, such as drug use, theft, or other crimes.\n
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Examples of Obnoxious or Inappropriate Inputs:\n
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"Why are all [members of a specific group] so [negative stereotype]?"\n
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"I think [controversial figure] did nothing wrong in promoting [harmful activity/conspiracy]."\n
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"[Explicit content or description of an adult nature]."\n
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"Let's all make fun of [individual or group] because they're [derogatory term]."\n
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"I heard doing [illegal activity] is really fun and everyone should try it."\n
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Appropriate Inputs for Comparison:\n
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"What are some significant achievements of Steve Jobs?"\n
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"How do you handle stress?"\n
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"Hi, how are you?"\n
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Remember, your role is not just to filter out obnoxious content but also to promote a respectful and informative dialogue.
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Use these guidelines to navigate the complexities of human communication with sensitivity and precision.\n
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@@ -68,8 +57,8 @@ class Obnoxious_Agent:
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print ("Checking for Obnoxious Query")
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response = self.client.chat.completions.create(
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model="gpt-4",
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messages=[{"role": "user", "content": self.prompt + query}]
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)
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@@ -115,7 +104,7 @@ class Answering_Agent:
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# TODO: Initialize the Answering_Agent
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self.openai_client = openai_client
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def generate_response(self, query, docs, conv_history, k=5, mode="
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# TODO: Generate a response to the user's query
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if mode == "Concise":
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and the conversational context."\n"""
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response = self.openai_client.chat.completions.create(
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model="gpt-4",
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messages=[{"role": "user", "content": prompt+mode_prompt}]
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)
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@@ -244,8 +233,8 @@ class Relevant_Documents_Agent:
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Navigate the complexities of this impersonation with attentiveness to the conversational flow and historical context.\n"""
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response = self.openai_client.chat.completions.create(
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model="gpt-4",
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messages=[{"role": "user", "content": prompt}]
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)
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@@ -299,7 +288,7 @@ class Head_Agent:
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# Check for existing session state variables
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# if "openai_model" not in st.session_state:
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# # ... (initialize model)
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openai_model = getattr(st.session_state, 'openai_model', 'gpt-
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# if "messages" not in st.session_state:
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# # ... (initialize messages)
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"""
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response = self.client.chat.completions.create(
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model="gpt-
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messages=[{"role": "user", "content": APE_prompt}]
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)
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@@ -434,7 +423,7 @@ class Head_Agent:
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# Calling the main function
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def main():
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st.title("
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# Set the OpenAI and Pinecone keys
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openai_key = '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'
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pinecone_key = '82346dbe-725b-4817-abd7-318ec511d56f'
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# Python
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# Author: Arnab Karmakar ([email protected])
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# Date: March 15, 2024
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from langchain_community.vectorstores import Pinecone
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from pinecone import Pinecone, ServerlessSpec
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from tqdm.notebook import tqdm
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2. Inflammatory or Provocative Material: Statements designed to incite anger, hate, or violence. This includes content that deliberately spreads misinformation or promotes conspiracies with the potential to cause harm.\n
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3. Explicit or Adult Content: Descriptions or discussions of a sexual nature, or any content that is not suitable for a general audience.\n
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4. Personal Attacks: Content that targets individuals or specific groups with the intent to harass, bully, or threaten.\n
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5. Illegal Activities: Promoting or condoning illegal actions, such as drug use, theft, or other crimes.\n
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Remember, your role is not just to filter out obnoxious content but also to promote a respectful and informative dialogue.
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Use these guidelines to navigate the complexities of human communication with sensitivity and precision.\n
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print ("Checking for Obnoxious Query")
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response = self.client.chat.completions.create(
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model="gpt-3.5-turbo",
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# model="gpt-4",
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messages=[{"role": "user", "content": self.prompt + query}]
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)
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# TODO: Initialize the Answering_Agent
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self.openai_client = openai_client
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def generate_response(self, query, docs, conv_history, k=5, mode="Chatty", conversation_type = "conversational"):
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# TODO: Generate a response to the user's query
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if mode == "Concise":
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and the conversational context."\n"""
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response = self.openai_client.chat.completions.create(
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model="gpt-3.5-turbo",
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# model="gpt-4",
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messages=[{"role": "user", "content": prompt+mode_prompt}]
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)
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Navigate the complexities of this impersonation with attentiveness to the conversational flow and historical context.\n"""
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response = self.openai_client.chat.completions.create(
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model="gpt-3.5-turbo",
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# model="gpt-4",
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messages=[{"role": "user", "content": prompt}]
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)
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# Check for existing session state variables
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# if "openai_model" not in st.session_state:
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# # ... (initialize model)
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openai_model = getattr(st.session_state, 'openai_model', 'gpt-3.5-turbo')
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# if "messages" not in st.session_state:
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# # ... (initialize messages)
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"""
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response = self.client.chat.completions.create(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": APE_prompt}]
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)
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# Calling the main function
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def main():
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st.title("Project Chatbot: Steve Jobs Impersonator")
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# Set the OpenAI and Pinecone keys
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openai_key = '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'
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pinecone_key = '82346dbe-725b-4817-abd7-318ec511d56f'
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