Create app.py

app.py

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+import gradio as gr
+import duckdb
+import pandas as pd
+
+# Aapke Hugging Face dataset ki direct link
+DATASET_PATH = "hf://datasets/warmifans/Sushant/data.parquet"
+
+def search_number(phone_number):
+    # Agar kisi ne khali search button daba diya
+    if not phone_number.strip():
+        return pd.DataFrame() 
+        
+    try:
+        # DuckDB direct Parquet file se sirf wahi row nikalega jo number se match karti ho
+        query = f"""
+        SELECT * FROM '{DATASET_PATH}'
+        WHERE Number = '{phone_number.strip()}'
+        LIMIT 10
+        """
+        
+        # Query chalana aur result ko Pandas DataFrame mein badalna
+        result_df = duckdb.sql(query).df()
+        
+        # Agar number nahi mila
+        if result_df.empty:
+            return pd.DataFrame({"Message": ["Is number ki koi detail dataset mein nahi mili."]})
+            
+        return result_df
+        
+    except Exception as e:
+        return pd.DataFrame({"Error": [f"Kuch dikkat aayi: {str(e)}"]})
+
+# Gradio Interface (UI) Design
+with gr.Blocks(theme=gr.themes.Soft()) as app:
+    gr.Markdown("<center><h1>🔍 Number Detail Finder</h1></center>")
+    gr.Markdown("<center>Karodo ke Parquet dataset se turant number details nikalen.</center>")
+    
+    with gr.Row():
+        num_input = gr.Textbox(label="Phone Number Daalein", placeholder="Jaise: 917032000911", scale=4)
+        search_btn = gr.Button("Search", variant="primary", scale=1)
+        
+    output_table = gr.Dataframe(label="User Details")
+    
+    # Button dabane par ya Enter press karne par search function chalega
+    search_btn.click(fn=search_number, inputs=num_input, outputs=output_table)
+    num_input.submit(fn=search_number, inputs=num_input, outputs=output_table)
+
+# Docker ke liye server_name aur port set kiya gaya hai
+app.launch(server_name="0.0.0.0", server_port=7860)