Create app.py

app.py

@@ -0,0 +1,17 @@
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import gradio as gr
+
+# Load a suitable LLM model (replace with the chosen model name)
+model_name = "databricks/dolly-v2-3b"  # Example: you can replace with a financial model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=100)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Set up Gradio interface
+gr.Interface(fn=generate_response, inputs="text", outputs="text").launch()
+