Create app.py

app.py

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+
+# Load the pre-trained model and tokenizer
+model = AutoModel.from_pretrained("Alibaba-NLP/gte-multilingual-base", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("Alibaba-NLP/gte-multilingual-base", trust_remote_code=True)
+
+# Upload your dataset
+uploaded = files.upload()
+
+# Load the dataset
+filename = next(iter(uploaded))  # Automatically get the first uploaded file's name
+df = pd.read_excel(filename)  # Read the uploaded Excel file
+
+# Display the columns in the uploaded DataFrame to help identify correct names
+print("Columns in the dataset:", df.columns.tolist())
+
+# Function to search by name and return the PEC number
+def search_by_name(name):
+    name_matches = df[df['Name'].str.contains(name, case=False, na=False)]
+    if not name_matches.empty:
+        return f"Your PEC number: {name_matches['PEC No'].values[0]}"
+    else:
+        return "No matches found for your name."
+
+# Gradio interface with the updated syntax
+iface = gr.Interface(
+    fn=search_by_name,
+    inputs=gr.Textbox(label="Please write your Name"),
+    outputs=gr.Textbox(label="Your PEC number"),
+    title="PEC Number Lookup",
+    description="Enter your name to find your PEC number."
+)
+
+# Launch the Gradio interface
+iface.launch()