chore: unifying app and main, finalizing module setup

app.py

@@ -1,102 +0,0 @@
-# main application file initializing the gradio based ui and calling other modules
-
-# external package imports
-import gradio as gr
-import markdown
-
-# internal imports
-from model import mistral
-
-# function to load md files in python as a string
-def load_md(path):
-
-    # credit: official python-markdown documentation (https://python-markdown.github.io/reference/)
-    with open(path, "r") as file:
-        text = file.read()
-
-    # return markdown as a string
-    return markdown.markdown(text)
-
-# ui interface based on Gradio Blocks (see documentation: https://www.gradio.app/docs/interface)
-with gr.Blocks() as ui:
-    # header row with markdown based text
-    with gr.Row():
-        gr.Markdown(
-            """
-            # Thesis Demo - AI Chat Application with XAI
-            ### Select between tabs below for the different views.
-            """)
-    # ChatBot tab used to chat with the AI chatbot
-    with gr.Tab("AI ChatBot"):
-        with gr.Row():
-            gr.Markdown(
-                """
-                ### ChatBot Demo
-                Mitral AI 7B notebooks fine-tuned for instruction and fully open source (see at [HGF](https://huggingface.co/mistralai/Mistral-7B-v0.1))
-                """)
-        # row with chatbot ui displaying "conversation" with the model (see documentation: https://www.gradio.app/docs/chatbot)
-        with gr.Row():
-            chatbot = gr.Chatbot(layout="panel", show_copy_button=True,avatar_images=("./public/human.jpg","./public/bot.jpg"))
-        # disclaimer information row - data is recorded for shap dashboard and model explanability
-        with gr.Row():
-            gr.Markdown(
-                """
-                ##### ⚠️ All Conversations are recorded for qa assurance and explanation functionality!
-                """)
-        # row with input textbox
-        with gr.Row():
-                prompt = gr.Textbox(label="Input Message")
-        # row with columns for buttons to submit and clear content
-        with gr.Row():
-            with gr.Column(scale=1):
-                # default clear button which clearn the given components (see documentation: https://www.gradio.app/docs/clearbutton)
-                clear_btn = gr.ClearButton([prompt, chatbot])
-            with gr.Column(scale=1):
-                submit_btn = gr.Button("Submit")
-
-        # two functions performing the same action (triggered the model response), when the button is used or the textbox submit function is used (clicking enter).
-        submit_btn.click(mistral.chat, [prompt, chatbot], [prompt, chatbot])
-        prompt.submit(mistral.chat, [prompt, chatbot], [prompt, chatbot])
-
-    # explanations tab used to provide explanations for a specific conversation
-    with gr.Tab("Explanations"):
-        with gr.Row():
-            gr.Markdown(
-                """
-                ### Get Explanations for  
-                SHAP Visualization Dashboard adopted from [shapash](https://github.com/MAIF/shapash)
-                """)
-
-    # shap dashboard tab for shapash inspired dashboard
-    with gr.Tab("SHAP Dashboard"):
-        with gr.Row():
-            gr.Markdown(
-                """
-                ### SHAP Dashboard
-                SHAP Visualization Dashboard adopted from [shapash](https://github.com/MAIF/shapash)
-                """)
-
-    # visualize dashboard to display global visualization provided by the BERTViz adoption
-    with gr.Tab("Visualize Dashboard"):
-        with gr.Row():
-            gr.Markdown(
-                """
-                ### Visualization Dashboard
-                Visualization Dashboard adopted from [BERTViz](https://github.com/jessevig/bertviz)
-                """)
-
-    # model overview tab for transparency
-    with gr.Tab("notebooks Overview"):
-        with gr.Tab("Mistral 7B Instruct"):
-            gr.Markdown(value=load_md("./model/mistral.md"))
-        with gr.Tab("LlaMa 2 7B Chat"):
-            gr.Markdown(value=load_md("./model/llama2.md"))
-
-    # final row to show legal information - credits, data protection and link to the LICENSE on GitHub
-    with gr.Row():
-        with gr.Accordion("Credits, Data Protection and License", open=False):
-            gr.Markdown(value=load_md("public/credits_dataprotection_license.md"))
-
-# launch function for Gradio Interface
-if __name__ == "__main__":
-    ui.launch(share=False)

main.py

@@ -1,7 +1,109 @@
-from fastapi import FastAPI
+# main application file initializing the gradio based ui and calling other modules
+
+# external package imports
 import gradio as gr
-import app as gradio_app
+import markdown
+from fastapi import FastAPI
+
+# internal imports
+from model import mistral
 
+# function to load md files in python as a string
+def load_md(path):
+
+    # credit: official python-markdown documentation (https://python-markdown.github.io/reference/)
+    with open(path, "r") as file:
+        text = file.read()
+
+    # return markdown as a string
+    return markdown.markdown(text)
+
+# creation of FastAPI application
 app = FastAPI()
 
-app = gr.mount_gradio_app(app, gradio_app.ui, path="/")
+# ui interface based on Gradio Blocks (see documentation: https://www.gradio.app/docs/interface)
+with gr.Blocks() as ui:
+    # header row with markdown based text
+    with gr.Row():
+        gr.Markdown(
+            """
+            # Thesis Demo - AI Chat Application with XAI
+            ### Select between tabs below for the different views.
+            """)
+    # ChatBot tab used to chat with the AI chatbot
+    with gr.Tab("AI ChatBot"):
+        with gr.Row():
+            gr.Markdown(
+                """
+                ### ChatBot Demo
+                Mitral AI 7B notebooks fine-tuned for instruction and fully open source (see at [HGF](https://huggingface.co/mistralai/Mistral-7B-v0.1))
+                """)
+        # row with chatbot ui displaying "conversation" with the model (see documentation: https://www.gradio.app/docs/chatbot)
+        with gr.Row():
+            chatbot = gr.Chatbot(layout="panel", show_copy_button=True,avatar_images=("./public/human.jpg","./public/bot.jpg"))
+        # disclaimer information row - data is recorded for shap dashboard and model explanability
+        with gr.Row():
+            gr.Markdown(
+                """
+                ##### ⚠️ All Conversations are recorded for qa assurance and explanation functionality!
+                """)
+        # row with input textbox
+        with gr.Row():
+                prompt = gr.Textbox(label="Input Message")
+        # row with columns for buttons to submit and clear content
+        with gr.Row():
+            with gr.Column(scale=1):
+                # default clear button which clearn the given components (see documentation: https://www.gradio.app/docs/clearbutton)
+                clear_btn = gr.ClearButton([prompt, chatbot])
+            with gr.Column(scale=1):
+                submit_btn = gr.Button("Submit")
+
+        # two functions performing the same action (triggered the model response), when the button is used or the textbox submit function is used (clicking enter).
+        submit_btn.click(mistral.chat, [prompt, chatbot], [prompt, chatbot])
+        prompt.submit(mistral.chat, [prompt, chatbot], [prompt, chatbot])
+
+    # explanations tab used to provide explanations for a specific conversation
+    with gr.Tab("Explanations"):
+        with gr.Row():
+            gr.Markdown(
+                """
+                ### Get Explanations for  
+                SHAP Visualization Dashboard adopted from [shapash](https://github.com/MAIF/shapash)
+                """)
+
+    # shap dashboard tab for shapash inspired dashboard
+    with gr.Tab("SHAP Dashboard"):
+        with gr.Row():
+            gr.Markdown(
+                """
+                ### SHAP Dashboard
+                SHAP Visualization Dashboard adopted from [shapash](https://github.com/MAIF/shapash)
+                """)
+
+    # visualize dashboard to display global visualization provided by the BERTViz adoption
+    with gr.Tab("Visualize Dashboard"):
+        with gr.Row():
+            gr.Markdown(
+                """
+                ### Visualization Dashboard
+                Visualization Dashboard adopted from [BERTViz](https://github.com/jessevig/bertviz)
+                """)
+
+    # model overview tab for transparency
+    with gr.Tab("notebooks Overview"):
+        with gr.Tab("Mistral 7B Instruct"):
+            gr.Markdown(value=load_md("./model/mistral.md"))
+        with gr.Tab("LlaMa 2 7B Chat"):
+            gr.Markdown(value=load_md("./model/llama2.md"))
+
+    # final row to show legal information - credits, data protection and link to the LICENSE on GitHub
+    with gr.Row():
+        with gr.Accordion("Credits, Data Protection and License", open=False):
+            gr.Markdown(value=load_md("public/credits_dataprotection_license.md"))
+
+# launch function for fastAPI Application
+app = gr.mount_gradio_app(app, ui, path="/")
+
+# launch function for Gradio Interface on hgf spaces
+if __name__ == "__main__":
+    ui.launch(share=False)