Update requirements.txt

requirements.txt

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-Gradio
-TinyLlama/TinyLlama-1.1B-Chat-v1.0 Model
-Hugging Face Transformer
-Pytorch and Tensorflow
+Python Libraries
+Transformers:
+Required to use Hugging Face's pre-trained models for text generation.
+Install with: pip install transformers
+Gradio:
+Provides the user interface for your chatbot.
+Install with: pip install gradio
+Model and Tokenizer
+TinyLlama/TinyLlama-1.1B-Chat-v1.0:
+Ensure this model is available on Hugging Face's model hub.
+Requires downloading the model and tokenizer with from_pretrained.
+Additional Dependencies
+PyTorch or TensorFlow:
+Either backend is required for running Hugging Face models.
+Install with:
+PyTorch: pip install torch
+TensorFlow (optional): pip install tensorflow
+Hardware Requirements
+A machine with sufficient GPU memory (e.g., 8GB or more) is recommended for faster inference, especially for models like TinyLlama-1.1B.
+If using a CPU, ensure the machine has adequate resources, though response times may be slower.
+Optional Tools
+Internet Connection: Required for the first-time download of the model and tokenizer from Hugging Face's servers.
+Custom Gradio Theme (Optional): If you need custom styling beyond the built-in Monochrome theme, you might need CSS.
+Running the Code
+Save the script in a .py file (e.g., interview_chatbot.py).
+Run the script using Python:
+bash
+Copy code
+python interview_chatbot.py
+Gradio will launch a local server, and a link (e.g., http://127.0.0.1:7860) will open in your web browser.