Update app.py

app.py

@@ -1,64 +1,54 @@
+import pandas as pd
+import re
 import gradio as gr
-from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+# Function to check if a cell contains a number with matching last 4 digits
+def contains_matching_number(row, numbers_list):
+    for item in row:
+        item_str = str(item)  # Convert cell value to string
+        for number in numbers_list:
+            if re.search(fr"\b{number}\b", item_str[-4:]):  # Match last 4 digits
+                return True
+    return False
+
+# Function to process the Excel file
+def process_excel(file, numbers):
+    # Read the Excel file
+    df = pd.read_excel(file, sheet_name=0)  # Read the first sheet
+
+    # Convert input text to a list of numbers
+    numbers_list = numbers.split(",")  # Example: "10857, 2140" → ['10857', '2140']
+    numbers_list = [num.strip()[-4:] for num in numbers_list]  # Extract last 4 digits
+
+    # Filter rows where any cell contains a number matching last 4 digits
+    matched_rows = df[df.apply(lambda row: contains_matching_number(row, numbers_list), axis=1)]
+
+    # Save results to a new Excel file
+    output_file = "processed_data.xlsx"
+    with pd.ExcelWriter(output_file, engine="openpyxl") as writer:
+        df.to_excel(writer, sheet_name="OriginalData", index=False)
+        matched_rows.to_excel(writer, sheet_name="MatchedRows", index=False)
+
+    return output_file
+
+# Gradio Interface
+def gradio_interface(file, numbers):
+    if file is None:
+        return None
+    processed_file = process_excel(file.name, numbers)
+    return processed_file
+
+# Create Gradio UI
+iface = gr.Interface(
+    fn=gradio_interface,
+    inputs=[
+        gr.File(label="Upload Excel File"),
+        gr.Textbox(label="Enter numbers to match (comma-separated)")
     ],
+    outputs=gr.File(label="Download Processed Excel File"),
+    title="Excel Row Matcher (Last 4 Digits)",
+    description="Upload an Excel file and enter numbers. The script will find rows where any cell contains the last 4 digits matching the entered numbers and save them to a new sheet.",
 )
 
-
-if __name__ == "__main__":
-    demo.launch()
+# Launch the Gradio app
+iface.launch(share=True)