Update app.py

app.py

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+import gradio as gr
+import openai
+import langdetect as detect
+
+
+# Set up OpenAI API with custom Groq endpoint
+openai.api_key = "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"
+openai.api_base = "https://api.groq.com/openai/v1"
+
+# Function to get the Groq model's response
+def get_groq_response(message, mode):
+    try:
+        # Use a system prompt tailored to the selected mode
+        motivational_message = (
+            "Keep pushing forward! You've got this. Programming might seem tough at first, but every step you take "
+            "is one step closer to mastering it. Let's score 70 on 70 in programming together!"
+        )
+
+        if mode == "Code":
+            system_prompt = (
+                "You are GS C PrepBuddy, a friendly and motivational AI specializing in C programming. "
+                "Your goal is to assist users by providing clear, concise, and well-commented C code "
+                "to solve their problems. Explain the logic where necessary. "
+                + motivational_message
+            )
+        elif mode == "Flowchart":
+            system_prompt = (
+                "You are GS C PrepBuddy, a friendly and motivational AI specializing in C programming. "
+                "Provide a detailed textual description of flowcharts to represent solutions for C programming problems. "
+                + motivational_message
+            )
+        elif mode == "Algorithm":
+            system_prompt = (
+                "You are GS C PrepBuddy, a friendly and motivational AI specializing in C programming. "
+                "Provide step-by-step algorithms to solve the user's query with clarity. "
+                + motivational_message
+            )
+        elif mode == "Exam Preparation":
+            system_prompt = (
+                "You are GS C PrepBuddy, a friendly and motivational AI dedicated to helping students prepare for their exams. "
+                "Provide explanations, theoretical concepts, sample questions, and problem-solving techniques in C programming. "
+                + motivational_message
+            )
+        else:
+            system_prompt = "You are GS C PrepBuddy, a helpful and motivational AI assistant."
+
+        response = openai.ChatCompletion.create(
+            model="llama-3.1-70b-versatile",
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": message}
+            ]
+        )
+        return response.choices[0].message["content"]
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Function to handle chatbot interactions
+def chatbot(user_input, output_format, history=[]):
+    try:
+        # Get the response based on the selected output format
+        bot_response = get_groq_response(user_input, output_format)
+        
+        # Append to conversation history
+        history.append((user_input, bot_response))
+        return history, history  # Return updated chat history and state
+    
+    except Exception as e:
+        return [(user_input, f"Error: {str(e)}")], history
+
+# Gradio Interface setup
+chat_interface = gr.Interface(
+    fn=chatbot,  # Function to call for chatbot interaction
+    inputs=[
+        "text",  # User input
+        gr.Dropdown(
+            ["Code", "Flowchart", "Algorithm", "Exam Preparation"], 
+            label="Output Format",
+            value="Code"
+        ),
+        "state"  # Chat history
+    ],
+    outputs=["chatbot", "state"],  # Outputs: the chat and updated history (state)
+    live=False,  # Disable live chat, responses shown after submit
+    title="GS C PrepBuddy",  # Title of the app
+    description=(
+         "Welcome to GS Programming PrepBuddy! 💻✨\n\n"
+        "Let's make programming fun and score 70 on 70 in your C programming exams!\n\n"
+        "Choose your output format—Code, Flowchart, Algorithm, or Exam Preparation.\n\n"
+        "Ask your query, and I'll guide you every step of the way!\n\n"
+        "Made by Satyam Singhal" 
+    )
+)
+
+# Launch the Gradio interface
+if __name__ == "__main__":
+    chat_interface.launch()
+