Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+from transformers import pipeline
+import os
+
+# Ensure the file path is correct
+file_path = 'Archived NFL Futures Odds _SportsOddsHistory.com.csv'
+
+# Check if file exists
+if not os.path.exists(file_path):
+    raise FileNotFoundError(f"File not found: {file_path}")
+
+# Load your data
+df = pd.read_csv(file_path)
+
+# Load a pre-trained language model
+nlp = pipeline("question-answering")
+
+# Define a function to answer questions
+def answer_question(question):
+    context = df.to_string()
+    result = nlp(question=question, context=context)
+    return result['answer']
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=answer_question, 
+    inputs="text", 
+    outputs="text", 
+    title="NFL Futures Odds Analysis Chatbot",
+    description="Ask questions about the archived NFL futures odds."
+)
+
+# Launch the interface
+iface.launch()