├── README.md
└── Me.py


/README.md:
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 1 | Overview
 2 | This repository contains the code for a conversational chatbot implemented in Langchian, a programming language designed for natural language processing. The chatbot is built to engage in meaningful conversations with users and respond to a variety of queries.
 3 | 
 4 | Features
 5 | Natural Language Processing: The chatbot utilizes advanced natural language processing techniques to understand and respond to user input.
 6 | 
 7 | Conversational Logic: Implemented with a robust conversational logic, the chatbot can handle context and maintain a coherent conversation flow.
 8 | 
 9 | Extensible: The code is designed to be easily extendable, allowing users to add new features or modify existing ones.
10 | 
11 | Input a message when prompted.
12 | The chatbot will process the input and provide a response.
13 | Example
14 | plaintext
15 | Copy code
16 | User: Hello!
17 | Chatbot: Hi there! How can I help you today?
18 | User: What's the weather like?
19 | Chatbot: I'm sorry, I don't have access to real-time data. However, I can provide general information about weather patterns.
20 | Contributing
21 | If you'd like to contribute to the project, please follow these steps:
22 | 
23 | Fork the repository.
24 | Create a new branch for your feature or bug fix.
25 | Make changes and submit a pull request.
26 | Contact
27 | [Muhammad Ahsan] - [muhammadahsan143@gmail.com]
28 | 
29 | 


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/Me.py:
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 1 | from langchain.llms import OpenAI
 2 | from langchain.chains import ConversationChain
 3 | from langchain.prompts import PromptTemplate
 4 | from langchain.memory import ConversationBufferMemory
 5 | import openai
 6 | from secret_key import Api_keys
 7 | import os 
 8 | os.environ['OPENAI_API_KEY']=Api_keys
 9 | llm=OpenAI(temperature=0)
10 | 
11 | AboutMe='''I am Muhammad Ahsan student of universty of engineering and technology Mardan
12 | i am from Nowshera Reciently i complete the course of python and Supervised Machine learning from 
13 | Coursera website Now i am working on the Langchain So i have Amazing experience in the 
14 | Python and machine learning.
15 | Overall, I am grateful for the experience and I am excited to see where my career takes me next,
16 | {history}
17 | Human: {input}
18 | AI Assistant:'''
19 | 
20 | myprompt=PromptTemplate(
21 |     input_variables=['history','input'],
22 |     template=AboutMe
23 | )
24 | 
25 | myconversation=ConversationChain(
26 |     prompt=myprompt,
27 |     llm=llm,
28 |     verbose=False,
29 |     memory=ConversationBufferMemory(ai_prefix="Ai assitant")
30 | )
31 | name="Muhammd Ahsan"
32 | food_choices="kfc,foods"
33 | fitness_level="50 percent "
34 | daily_activity="5 time prayer"
35 | mood="positive"
36 | goals="improved AI skill"
37 | 
38 | 
39 | # ai_response = myconversation.predict(input=f"""
40 | # Here is user data:
41 | # "user name is {name}, and their food choices include {food_choices}. 
42 | # This user is actively pursuing a fitness journey, and they've provided insightful details:
43 | # - Fitness Level: {fitness_level}
44 | # - Daily Activity: {daily_activity}
45 | # - Mood: {mood}
46 | 
47 | # Furthermore, they have set specific fitness goals, and their current
48 | # goals are as follows: {goals}.
49 | 
50 | # # """)
51 | 
52 | # print(response)  
53 | while True:
54 |     user_input = input("You: ")
55 |     ai_response = myconversation.predict(input=user_input)
56 |     print(f"Ahsan: {ai_response}")
57 | 


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