Upload rc_faq_bot.py

rc_faq_bot.py

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+import gradio as gr
+from difflib import get_close_matches
+
+# FAQ Data
+faq_data = {
+    "questions": [
+        {
+            "question": "What is Resilient Coders?",
+            "answer": "Resilient Coders is a nonprofit that trains young people of color for careers in tech."
+        },
+        {
+            "question": "Is the bootcamp free?",
+            "answer": "Yes, it is completely free and participants get a stipend."
+        },
+        {
+            "question": "How long is the program?",
+            "answer": "It typically lasts about 14–20 weeks."
+        }
+    ]
+}
+
+# Extract all questions for fuzzy matching
+questions_list = [q["question"] for q in faq_data["questions"]]
+
+# Chatbot function
+def chatbot(user_input):
+    if not user_input.strip():
+        return "Please ask a question."
+    
+    match = get_close_matches(user_input, questions_list, n=1, cutoff=0.4)
+    if match:
+        for item in faq_data["questions"]:
+            if item["question"] == match[0]:
+                return item["answer"]
+    return "Sorry, I only answer questions about Resilient Coders."
+
+# Gradio Interface
+demo = gr.Interface(
+    fn=chatbot,
+    inputs=gr.Textbox(lines=2, placeholder="Ask about Resilient Coders..."),
+    outputs="text",
+    title="Resilient Coders Chatbot",
+    description="Ask me anything about Resilient Coders!"
+)
+
+# Run the app
+if __name__ == "__main__":
+    demo.launch()