Update application file

.gitignore

@@ -1 +1,2 @@
-ven
+ven
+.env

app.py

@@ -1,7 +1,147 @@
+import os
 import gradio as gr
+from smolagents import HfApiModel, ChatMessage
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load Hugging Face API token from environment variable
+HF_TOKEN = os.getenv("HF_TOKEN")
+if not HF_TOKEN:
+    raise ValueError("Please set the HF_TOKEN environment variable.")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Load LLM model from Hugging Face using smolagents wrapper
+model = HfApiModel(
+    model_id="meta-llama/Llama-3.1-8B-Instruct", 
+    token=HF_TOKEN,
+)
+
+def generate_documents(user_info, job_description):
+    """
+    Generate a tailored resume and cover letter.
+    
+    Args:
+        user_info (str): User's background, education, experience, and skills.
+        job_description (str): Text of the job description.
+    
+    Returns:
+        str: Resume and cover letter, separated by headers.
+    """
+    if not user_info.strip() or not job_description.strip():
+        return "❌ Veuillez remplir tous les champs."
+    
+    try:
+        prompt = (
+            "You are a helpful AI assistant that specializes in career support.\n"
+            "Generate a tailored resume and cover letter for a candidate based on the following input.\n"
+            "Write in French if the job description is in French, otherwise write in English.\n\n"
+            f"=== User Info ===\n{user_info}\n\n"
+            f"=== Job Description ===\n{job_description}\n\n"
+            "Format the output as follows:\n"
+            "=== CV / RESUME ===\n<bullet-point resume with clear sections>\n\n"
+            "=== LETTRE DE MOTIVATION / COVER LETTER ===\n<formal cover letter>\n"
+        )
+        
+        messages = [ChatMessage(role="user", content=prompt)]
+        response = model(messages)
+        
+        # Vérifier que la réponse a bien un contenu
+        if hasattr(response, 'content') and response.content:
+            return response.content
+        else:
+            return "❌ Erreur: Impossible de générer les documents. Veuillez réessayer."
+            
+    except Exception as e:
+        return f"❌ Erreur lors de la génération des documents: {str(e)}"
+
+# Créer l'interface Gradio
+def create_interface():
+    with gr.Blocks(
+        title="🎯 Career Assistant",
+        css="""
+        .gradio-container {
+            max-width: 1200px !important;
+        }
+        """
+    ) as demo:
+        
+        gr.Markdown("""
+        # 🎯 Assistant Carrière / Career Assistant
+        
+        Générez un CV et une lettre de motivation personnalisés en fonction de vos informations et de l'offre d'emploi.
+        
+        *Generate a tailored resume and cover letter based on your information and the job offer.*
+        """)
+        
+        with gr.Row():
+            with gr.Column(scale=1):
+                user_info = gr.Textbox(
+                    label="📝 Vos informations personnelles / Your personal information",
+                    placeholder="""Exemple / Example:
+- Formation: Master en Informatique
+- Expérience: 3 ans en développement web
+- Compétences: Python, JavaScript, React
+- Langues: Français, Anglais""",
+                    lines=8,
+                    max_lines=15
+                )
+                
+                job_description = gr.Textbox(
+                    label="💼 Description du poste / Job description",
+                    placeholder="Collez ici la description complète du poste / Paste the complete job description here...",
+                    lines=6,
+                    max_lines=10
+                )
+                
+                generate_btn = gr.Button(
+                    "🚀 Générer CV et Lettre / Generate Resume & Cover Letter",
+                    variant="primary",
+                    size="lg"
+                )
+            
+            with gr.Column(scale=1):
+                output = gr.Textbox(
+                    label="📄 Résultat / Result",
+                    lines=20,
+                    max_lines=30,
+                    show_copy_button=True
+                )
+        
+        # Event handlers
+        generate_btn.click(
+            fn=generate_documents,
+            inputs=[user_info, job_description],
+            outputs=output,
+        )
+        
+        # Exemple pour aider les utilisateurs
+        gr.Markdown("""
+        ## 💡 Conseils / Tips:
+        - Soyez précis dans vos informations personnelles / Be specific in your personal information
+        - Incluez toute la description du poste / Include the complete job description
+        - Le CV sera adapté automatiquement au poste / The resume will be automatically tailored to the position
+        """)
+    
+    return demo
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    try:
+        demo = create_interface()
+        demo.launch(
+            share=False,
+            server_name="0.0.0.0",
+            server_port=7860,
+            show_error=True
+        )
+    except Exception as e:
+        print(f"Erreur lors du lancement de l'application: {e}")
+        # Lancement simplifié en cas d'erreur
+        interface = gr.Interface(
+            fn=generate_documents,
+            inputs=[
+                gr.Textbox(label="Informations personnelles", lines=5),
+                gr.Textbox(label="Description du poste", lines=5)
+            ],
+            outputs=gr.Textbox(label="CV et Lettre de motivation", lines=15),
+            title="🎯 Career Assistant",
+            description="Générez un CV et une lettre de motivation personnalisés!"
+        )
+        interface.launch()

requirements.txt

@@ -1 +1,2 @@
-gradio
+gradio
+smolagents