Update requirements.txt

requirements.txt

@@ -1,30 +1,3 @@
-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.
+transformers==4.34.0
+torch==2.0.0  # Or tensorflow, depending on your backend
+gradio==3.43.0