Update app.py

app.py

@@ -1,41 +1,62 @@
-import gradio as gr
-import pandas as pd
-import openpyxl
-
-def upload_excel(file):
-    try:
-        df = pd.read_excel(file.name)
-        return df.to_html(index=False)
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-def process_excel(file):
-    return "Processing complete! This is a placeholder message."
-
-def display_output():
-    return "Displaying output! This is a placeholder message."
-
-def launch():
-    with gr.Blocks(css=".upload-button { width: 100%; } .process-button { width: 100%; }") as demo:
-        gr.Markdown("<h1 style='text-align: center;'>Excel Processor App</h1>")
-
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("## Upload Excel File")
-                file_input = gr.File(label="")
-                upload_button = gr.Button("Upload", elem_id="upload-button")
-                excel_output = gr.HTML(label="Excel Content")
-
-            with gr.Column():
-                gr.Markdown("## Process and Output")
-                process_button = gr.Button("Process", elem_id="process-button")
-                text_output = gr.Textbox(label="Output", interactive=False)
-
-        upload_button.click(upload_excel, inputs=file_input, outputs=excel_output)
-        process_button.click(process_excel, inputs=file_input, outputs=text_output)
-        process_button.click(display_output, inputs=None, outputs=text_output)
-
-    demo.launch()
-
-if __name__ == "__main__":
-    launch()
+
+import io
+
+def read_docx(file_bytes):
+
+    file_like_object = io.BytesIO(file_bytes)
+    document = Document(file_like_object)
+    doc_text = [paragraph.text for paragraph in document.paragraphs]
+
+
+
+
+
+    return '\n'.join(doc_text).lower()
+
+def analyze_cv(cv_file, desired_role, expected_salary):
+
+    salary_ranges = {
+        "desarrollador": (30000, 60000),
+        "diseñador": (25000, 50000),
+        "gerente": (40000, 80000)
+    }
+    
+
+    cv_content = read_docx(cv_file)
+    desired_role = desired_role.lower()
+    if desired_role in cv_content:
+
+
+        salary_range = salary_ranges.get(desired_role, (0, 0))
+        try:
+            expected_salary = int(expected_salary)
+            if salary_range[0] <= expected_salary <= salary_range[1]:
+                result = "El candidato es elegible para la posición."
+            else:
+                result = "El candidato no es elegible debido a las expectativas salariales."
+        except ValueError:
+            result = "Por favor, ingrese un valor numérico válido para la expectativa salarial."
+    else:
+        result = "El candidato no es elegible debido a la falta de experiencia relevante."
+
+    return result
+
+
+iface = gr.Interface(
+    fn=analyze_cv,
+    inputs=[
+        gr.File(label="Sube un CV", type="binary"),
+        gr.Textbox(label="Nombre del rol o posición a cubrir", placeholder="Ejemplo: Desarrollador BI"),
+        gr.Textbox(label="Expectativa salarial", placeholder="Ejemplo: 50000"),
+    ],
+    outputs=gr.Textbox(label="Resultado de la elegibilidad"),
+    title="Análisis automático de CV",
+        .gr-file { border-color: #007BFF; }
+        .gr-button { background-color: #007BFF; color: white; }
+        .gr-output-text { font-size: 16px; }
+    """
+
+)
+
+# Launch the application with share=True to create a public link
+iface.launch(share=True)