Delete app.py

app.py

@@ -1,126 +0,0 @@
-import os
-import gradio as gr
-from groq import Groq
-from googletrans import Translator
-
-# Function to get recommendations from Groq AI based on user input
-def get_opportunities(user_interests, user_skills, user_location):
-    api_key = "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"  # Replace with your actual API key
-    
-    if not api_key:
-        raise ValueError("API key is missing.")
-    
-    # Initialize the Groq client with the API key
-    client = Groq(api_key=api_key)
-    
-    # Construct the query
-    query = f"Based on the user's interests in {user_interests}, skills in {user_skills}, and location of {user_location}, find scholarships, internships, online courses, and career advice suitable for them."
-    
-    # Request to Groq API
-    response = client.chat.completions.create(
-        messages=[{"role": "user", "content": query}],
-        model="llama-3.3-70b-versatile",
-    )
-    
-    return response.choices[0].message.content
-
-# Function to translate text into the selected language
-def translate_text(text, target_language):
-    translator = Translator()
-    translated = translator.translate(text, dest=target_language)
-    return translated.text
-
-# Function to get chatbot response
-def get_chatbot_response(user_message):
-    api_key = "your_groq_api_key"  # Replace with your actual API key
-    
-    if not api_key:
-        raise ValueError("API key is missing.")
-    
-    # Initialize the Groq client with the API key
-    client = Groq(api_key=api_key)
-    
-    # Request to Groq API for chatbot response
-    response = client.chat.completions.create(
-        messages=[{"role": "user", "content": user_message}],
-        model="llama-3.3-70b-versatile",
-    )
-    
-    return response.choices[0].message.content
-
-# Gradio interface
-with gr.Blocks(css="""
-    .gradio-container {
-        background-color: #f0f0f5;
-        color: #333;
-        font-family: 'Roboto', sans-serif;
-        padding: 20px;
-        border-radius: 10px;
-        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
-    }
-    .gradio-container .button {
-        background-color: #007bff;
-        color: white;
-        padding: 12px;
-        font-size: 16px;
-        border-radius: 10px;
-        border: none;
-    }
-    .gradio-container .button:hover {
-        background-color: #0056b3;
-    }
-    .gradio-container .textbox {
-        font-size: 16px;
-        padding: 12px;
-        border-radius: 10px;
-        border: 1px solid #ccc;
-    }
-""") as demo:
-    gr.Markdown("""
-        <h1 style="text-align:center;">AI-Powered Opportunity Finder for Youth</h1>
-        <p style="text-align:center;">Find scholarships, internships, online courses, and career advice based on your interests, skills, and location.</p>
-    """)
-    
-    # Sidebar for input fields
-    with gr.Column():
-        gr.Markdown("### Provide your details to find opportunities")
-
-        interests = gr.Textbox(label="Your Interests (e.g., AI, Robotics, Software Engineering):")
-        skills = gr.Textbox(label="Your Skills (e.g., Python, Data Science, Web Development):")
-        location = gr.Textbox(label="Your Location (e.g., Gujrat, Pakistan):")
-
-        languages = gr.Dropdown(
-            label="Select your preferred language:",
-            choices=["English", "Spanish", "French", "German", "Italian", "Chinese", "Japanese", "Urdu"],
-            value="English"
-        )
-        
-        find_button = gr.Button("Find Opportunities")
-    
-    # Chatbot Section
-    with gr.Column():
-        gr.Markdown("### AI Chatbot")
-        user_message = gr.Textbox(label="Ask anything to the chatbot:", lines=2)
-        chatbot_output = gr.Textbox(label="Chatbot Response:", interactive=False)
-    
-    # Function to handle finding opportunities
-    def find_opportunities_and_chat(interests, skills, location, language, user_message):
-        # Fetch opportunities
-        opportunities = get_opportunities(interests, skills, location)
-        translated_opportunities = translate_text(opportunities, language)
-        
-        # Get chatbot response
-        chatbot_response = get_chatbot_response(user_message) if user_message else "Ask me anything!"
-        
-        return translated_opportunities, chatbot_response
-
-    # Connect the button to the function
-    find_button.click(
-        find_opportunities_and_chat,
-        inputs=[interests, skills, location, languages, user_message],
-        outputs=[gr.Textbox(label="Recommended Opportunities"), chatbot_output]
-    )
-
-# Launch the Gradio app
-if __name__ == "__main__":
-    demo.launch()