Create app.py

app.py

@@ -0,0 +1,55 @@
+"""
+app.py
+
+Main script to run the Course Recommendation Chatbot using Gradio.
+"""
+
+import os
+import gradio as gr
+from document_loader import load_document
+from embeddings import process_documents_with_chroma
+from chatbot import create_chatbot, ask_question
+
+# Ensure your OpenAI API key is set in the environment variables.
+api_key = os.getenv("OPENAI_API_KEY")
+os.environ["OPENAI_API_KEY"] = api_key
+
+def main(query):
+    """Main function to load document, create embeddings, and generate a response.
+
+    Args:
+        query (str): User input query for course recommendation.
+
+    Returns:
+        str: The chatbot's response.
+    """
+    file_path = "Courses_Details.pdf"
+    documents = load_document(file_path)
+    vector_store = process_documents_with_chroma(documents)
+    chatbot_system = create_chatbot(vector_store)
+
+    prompt = f"Suggest me best course for {query} as an output in a well-written, elaborative, and structured format along with its link."
+    return ask_question(chatbot_system, prompt)
+
+# Define the Gradio interface
+with gr.Blocks(css="""
+.container {max-width: 800px; margin: auto; text-align: center;}
+button {background-color: orange !important; color: white !important;}
+#input_text, #output_text {margin-bottom: 20px;}
+""") as demo:
+    gr.Markdown("""
+        # 🎓 Course Recommendation Chatbot
+        Welcome to the **Course Recommendation Chatbot**! This assistant can suggest the best courses based on your input, along with a well-structured description and course link.
+        
+        Just enter the area you’re interested in (e.g., "machine learning") to receive a curated course recommendation!
+    """)
+    
+    with gr.Group():
+        input_text = gr.Textbox(label="Ask your question about courses", placeholder="e.g., Best courses for machine learning", elem_id="input_text")
+        output_text = gr.Textbox(label="Course Information", placeholder="Your course recommendation will appear here...", elem_id="output_text")
+        
+        submit_button = gr.Button("Get Recommendation", elem_id="submit_button")
+
+    submit_button.click(fn=main, inputs=input_text, outputs=output_text)
+
+demo.launch(share=True)