added info to info file

pages/Intro.py

@@ -1,34 +0,0 @@
-import os
-import streamlit as st
-
-st.title("Intro")
-
-st.write("")
-st.write("")
-
-st.subheader("Available Models")
-st.markdown(
-    "Random Model -  generates the name randomly"
-)
-st.markdown(
-    "Bigram model -  character level model, 2 character understanding"
-)
-
-st.markdown(
-            "[repo link](https://github.com/SDcodehub/make_over.git)"
-)
-
-st.markdown(
-            "[Dataset](https://github.com/SDcodehub/make_over/blob/main/data/names.txt)"
-)
-
-
-st.subheader("Ref")
-st.markdown(
-    "https://youtu.be/PaCmpygFfXo?si=MjyUM2oBykhJNuy1"
-)
-
-st.subheader("Credit to")
-st.markdown(
-    "Andrej Karpathy"
-)

pages/info.py

@@ -0,0 +1,39 @@
+import os
+import streamlit as st
+
+st.title("Name Generation Application")
+
+st.write("Welcome to the Name Generation Application! This application allows you to generate names using a character-level language model. There are two models available for experimentation: the Random Model and the Bigram Model.")
+
+st.subheader("Available Models")
+st.markdown("Random Model - generates the name randomly")
+st.markdown("Bigram Model - character level model, 2 character understanding")
+
+st.subheader("Getting Started")
+st.write("To get started with the Name Generation Application, follow these steps:")
+st.write("1. Clone the repository to your local machine.")
+st.write("2. Install the required dependencies by running:")
+st.code("pip install -r requirements.txt")
+st.write("3. Run the Streamlit application:")
+st.code("streamlit run Name_Generator.py")
+st.write("4. The application will open in your default web browser, and you can start generating names using the available models.")
+
+st.subheader("Usage")
+st.write("Once you have the application up and running, you can experiment with the two available models: [model](https://huggingface.co/spaces/sagarsdesai/make_more)")
+st.markdown("### Random Model")
+st.write("1. Select the 'Random Model' option.")
+st.write("2. Adjust any desired settings, such as number of output names.")
+st.write("3. Click the 'Generate' button to generate a random name.")
+st.write("### Bigram Model")
+st.write("1. Select the 'Bigram Model' option from the navigation menu.")
+st.write("2. Adjust any desired settings, such as number of output names.")
+st.write("4. Click the 'Generate' button to generate a name using the Bigram Model.")
+
+st.subheader("Dataset")
+st.write("The Bigram Model is trained on a dataset comprising 32,033 input names. These names have been carefully selected to cover a diverse range of styles and origins. The model has learned from this dataset to generate names that exhibit characteristics observed during training.")
+st.markdown("[Dataset](https://github.com/SDcodehub/make_over/blob/main/data/names.txt)")
+
+st.subheader("Acknowledgments")
+st.write("Special thanks to Andrej Karpathy for providing a great series of language model explanation videos. [ref](https://youtu.be/PaCmpygFfXo?si=MjyUM2oBykhJNuy1)")
+st.write("Thanks to the Hugging Face team for providing free hosting.")
+st.write("Feel free to explore and experiment with the Name Generation Application. We hope you enjoy generating creative and inspiring names with our models!")