Merge pull request #2555 from andoriyaprashant/branch21

AI-based Chatbot for Diverse Topics Script Added

Author: avinashkranjan

AI-based Chatbot for Diverse Topics/README.md

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+# AI-Based Chatbot
+
+An AI-based chatbot implemented in Python using the spaCy NLP library. The chatbot is designed to engage in conversations on a wide range of topics, from general knowledge to specific domains. It can understand user queries and respond in a relevant and informative manner.
+
+## Requirements
+
+- Python 3.x
+- spaCy (Install using: `pip install spacy`)
+- spaCy English language model (Install using: `python -m spacy download en_core_web_sm`)
+
+## Usage
+
+1. Clone the repository to your local machine
+
+2. Install the required dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+3. Run the chatbot:
+
+```bash
+python chatbot.py
+```
+
+## Features
+
+- Responds to greetings and basic conversation starters.
+- Handles 'who', 'what', 'where', and 'when' and many more questions with custom responses for specific topics.
+- Able to identify named entities like cities and provide relevant information.
+
+## Customization
+
+You can extend the chatbot's functionality by adding more domain-specific logic and custom responses. Update the `get_response()` function in the `chatbot.py` script to handle additional topics or integrate external APIs for more comprehensive responses.
+
+## Contributing
+
+Contributions to the project are welcome! If you have any improvements, bug fixes, or new features to add, feel free to submit a pull request.
+

AI-based Chatbot for Diverse Topics/chatbot.py

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+import spacy
+
+# Load the spaCy English language model
+nlp = spacy.load("en_core_web_sm")
+
+# Function to get the response from the chatbot
+def get_response(query):
+    # Process the user query
+    doc = nlp(query)
+
+    # Extract important information from the user query (e.g., named entities)
+    named_entities = [ent.text for ent in doc.ents]
+
+    # Example: Detecting greetings and responding accordingly
+    greetings = ["hello", "hi", "hey", "howdy"]
+    if any(greet in query.lower() for greet in greetings):
+        return "Hello! How can I assist you today?"
+
+    # Example: Handling 'who' questions
+    if "who" in query.lower() and "is" in query.lower():
+        # Replace 'who is' with an empty string to get the subject of the question
+        subject = query.lower().replace("who is", "").strip()
+        if subject:
+            # Custom logic for specific topics
+            if subject == "python":
+                return "Python is a popular programming language known for its simplicity and versatility."
+            elif subject == "ai":
+                return "Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that can perform tasks that typically require human intelligence."
+            elif subject == "elon musk":
+                return "Elon Musk is a visionary entrepreneur and CEO of companies like SpaceX and Tesla, known for his ambitious goals in space exploration and sustainable energy."
+
+    # Example: Handling 'what' questions
+    if "what" in query.lower() and "is" in query.lower():
+        # Replace 'what is' with an empty string to get the subject of the question
+        subject = query.lower().replace("what is", "").strip()
+        if subject:
+            # Custom logic for specific topics
+            if subject == "python":
+                return "Python is a popular programming language known for its simplicity and versatility."
+            elif subject == "ai":
+                return "Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that can perform tasks that typically require human intelligence."
+            elif subject == "elon musk":
+                return "Elon Musk is a visionary entrepreneur and CEO of companies like SpaceX and Tesla, known for his ambitious goals in space exploration and sustainable energy."
+            elif subject == "global warming":
+                return "Global warming is the long-term increase in Earth's average surface temperature due to human activities like burning fossil fuels and deforestation."
+
+    # Example: Handling 'where' questions
+    if "where" in query.lower():
+        # Custom logic for specific locations
+        if "city" in named_entities:
+            city = named_entities[named_entities.index("city") + 1]
+            if city == "new york":
+                return "New York City, often called NYC, is a major city in the United States known for its culture, arts, and diverse population."
+            elif city == "paris":
+                return "Paris is the capital city of France and is famous for its art, history, and iconic landmarks like the Eiffel Tower."
+
+    # Example: Handling 'when' questions
+    if "when" in query.lower():
+        # Custom logic for specific events
+        if "world war 2" in query.lower():
+            return "World War II took place from 1939 to 1945, involving many countries and causing significant global impact."
+
+    # If no specific response is generated, provide a default response
+    return "I'm sorry, but I'm not sure how to help with that."
+
+# Main chat loop
+print("Chatbot: Hello! How can I assist you today? Type 'exit' to end the conversation.")
+while True:
+    user_input = input("You: ")
+    if user_input.lower() == "exit":
+        print("Chatbot: Goodbye!")
+        break
+    response = get_response(user_input)
+    print("Chatbot:", response)

AI-based Chatbot for Diverse Topics/requirements.txt

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+spacy