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.env

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+OPENAI_API_KEY=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

README.md

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----
-title: UETs Bot
-emoji: 🌖
-colorFrom: red
-colorTo: blue
-sdk: docker
-pinned: false
-license: mit
-short_description: 'A Streamlit-based chatbot for the University of Engineering '
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# UET Chatbot
+
+A Streamlit-based chatbot for the University of Engineering and Technology (UET) Peshawar and UET Mardan. This chatbot provides information about academic programs, admission requirements, campus facilities, and other university-related queries.
+
+## Features
+
+- Interactive chat interface using Streamlit
+- Powered by OpenAI's GPT-3.5 Turbo
+- Provides information about both UET Peshawar and UET Mardan
+- Maintains conversation history during the session
+- Professional and helpful responses
+
+## Setup
+
+1. Clone this repository:
+```bash
+git clone https://github.com/yourusername/university-chatbot.git
+cd university-chatbot
+```
+
+2. Install the required dependencies:
+```bash
+pip install -r requirements.txt
+```
+
+3. Create a `.env` file in the root directory and add your OpenAI API key:
+```
+OPENAI_API_KEY=your_api_key_here
+```
+
+## Running the Chatbot
+
+To run the chatbot locally:
+```bash
+streamlit run app.py
+```
+
+## Deployment on Hugging Face
+
+1. Create a new Space on Hugging Face
+2. Choose Streamlit as the SDK
+3. Upload the repository files
+4. Add your OpenAI API key in the Space's Secrets section
+5. Deploy the Space
+
+## Usage
+
+1. Open the chatbot interface
+2. Type your question in the chat input
+3. The chatbot will respond with relevant information about UET
+4. You can ask questions about:
+   - Academic programs
+   - Admission requirements
+   - Campus facilities
+   - University policies
+   - Important dates
+   - And more!
+
+## Contributing
+
+Feel free to submit issues and enhancement requests!
+
+## License
+
+This project is licensed under the MIT License - see the LICENSE file for details. 

app.py

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+import streamlit as st
+import openai
+from dotenv import load_dotenv
+import os
+
+# Load environment variables
+load_dotenv()
+
+# Configure OpenAI API
+client = openai.OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
+# System prompt template
+SYSTEM_PROMPT = """You are an AI assistant for the University of Engineering and Technology (UET). 
+Your role is to provide accurate and helpful information about {university}.
+You should:
+1. Provide information about academic programs, admission requirements, and campus facilities
+2. Answer questions about university policies, procedures, and important dates
+3. Guide students about registration, courses, and academic matters
+4. Share information about research opportunities and faculty
+5. Direct users to official university resources when needed
+
+Always maintain a professional and helpful tone. If you're unsure about any information, 
+acknowledge the limitation and suggest contacting the university directly."""
+
+def get_chatbot_response(messages):
+    """Get response from OpenAI API"""
+    try:
+        response = client.chat.completions.create(
+            model="gpt-3.5-turbo", 
+            messages=messages,
+            temperature=0.7,
+            max_tokens=500
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+def main():
+    st.title("UET Chatbot")
+    st.write("Welcome to the UET Chatbot! Ask me anything about UET Peshawar or UET Mardan.")
+
+    # Dropdown to select university
+    university = st.selectbox("Select University", ["UET Peshawar", "UET Mardan"])
+
+    # Initialize chat history
+    if "messages" not in st.session_state:
+        st.session_state.messages = [{"role": "system", "content": SYSTEM_PROMPT.format(university=university)}]
+
+    # Update system prompt if university changes
+    if st.session_state.messages[0]["content"] != SYSTEM_PROMPT.format(university=university):
+        st.session_state.messages = [{"role": "system", "content": SYSTEM_PROMPT.format(university=university)}]
+
+    # Display chat history
+    for message in st.session_state.messages:
+        if message["role"] != "system":
+            with st.chat_message(message["role"]):
+                st.write(message["content"])
+
+    # Chat input
+    if prompt := st.chat_input("What would you like to know?"):
+        # Add user message to chat history
+        st.session_state.messages.append({"role": "user", "content": prompt})
+        
+        # Display user message
+        with st.chat_message("user"):
+            st.write(prompt)
+
+        # Get chatbot response
+        with st.chat_message("assistant"):
+            response = get_chatbot_response(st.session_state.messages)
+            st.write(response)
+            
+        # Add assistant response to chat history
+        st.session_state.messages.append({"role": "assistant", "content": response})
+
+if __name__ == "__main__":
+    main() 

requirements.txt

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+# Core dependencies
+streamlit==1.24.0
+openai>=1.0.0
+python-dotenv>=1.0.0
+
+# Additional dependencies
+numpy>=1.24.3
+pandas>=2.0.0
+tqdm>=4.66.0
+
+# Flask dependencies
+flask==2.3.3
+pytest==7.4.0
+black==23.7.0
+flake8==6.1.0