grado added

README.md

@@ -1 +1,10 @@
-# Financial_data_classification
+
+---
+
+title: Financial_data_classification
+emoji: 🐳
+colorFrom: purple
+colorTo: gray
+sdk: docker
+app_port: 7860
+---

app.py

@@ -0,0 +1,58 @@
+import gradio as gr
+
+# Sample classes
+class ResultA:
+    def __init__(self, query):
+        self.response = f"Result from Function A for query: {query}"
+
+class ResultB:
+    def __init__(self, query):
+        self.response = f"Result from Function B for query: {query}"
+
+class ResultC:
+    def __init__(self, query):
+        self.response = f"Result from Function C for query: {query}"
+
+# Functions that return class instances
+def function_a(query):
+    return ResultA(query)
+
+def function_b(query):
+    return ResultB(query)
+
+def function_c(query):
+    return ResultC(query)
+
+# Function to handle user input
+def handle_query(function_choice, query):
+    function_map = {
+        "Function A": function_a,
+        "Function B": function_b,
+        "Function C": function_c,
+    }
+    
+    if function_choice in function_map:
+        result = function_map[function_choice](query)
+        return result.response
+    else:
+        return "Invalid selection."
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=handle_query,
+    inputs=[
+        gr.Radio(["Function A", "Function B", "Function C"], label="Select Function"),
+        gr.Textbox(label="Enter Query")
+    ],
+    outputs=gr.Textbox(label="Response"),
+    title="Function Selector",
+    description="Select a function, enter a query, and get a response.",
+        # Adding footer details
+    article="""
+    **About this application:**
+    This tool allows users to select a function, input a query, and get a response based on the selected function.
+    Developed using Gradio.
+    """
+)
+
+iface.launch()

requirements.txt

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+gradio