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Update app.py
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app.py
CHANGED
@@ -1,7 +1,9 @@
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import gradio as gr
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import openai
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import os
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# Set up OpenAI API with custom Groq endpoint
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openai.api_key = os.getenv("PrepBuddy_API_KEY")
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openai.api_base = "https://api.groq.com/openai/v1"
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@@ -9,6 +11,7 @@ openai.api_base = "https://api.groq.com/openai/v1"
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# Function to get the Groq model's response
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def get_groq_response(message, mode):
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try:
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motivational_message = (
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"Keep pushing forward! You've got this. Programming might seem tough at first, but every step you take "
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"is one step closer to mastering it. Let's score 70 on 70 in programming together!"
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@@ -66,7 +69,7 @@ def chatbot(user_input, output_format, history=[]):
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except Exception as e:
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return [(user_input, f"Error: {str(e)}")], history
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# Gradio Interface setup
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chat_interface = gr.Interface(
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fn=chatbot, # Function to call for chatbot interaction
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inputs=[
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@@ -78,10 +81,7 @@ chat_interface = gr.Interface(
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),
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"state" # Chat history
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],
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outputs=[
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gr.HTML("<div id='chat-box'></div>"), # Placeholder for chat output
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"state" # Updated history
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],
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live=False, # Disable live chat, responses shown after submit
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title="GS C PrepBuddy", # Title of the app
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description=(
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"Choose your output format—Code, Flowchart, Algorithm, or Exam Preparation.\n\n"
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"Ask your query, and I'll guide you every step of the way!\n\n"
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"Made by Satyam Singhal"
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)
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# Adding custom CSS and JS for better UI interaction
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css="""
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#chat-box {
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background-color: rgba(223, 242, 247, .5);
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padding: 20px;
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border-radius: 10px;
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height: 400px;
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overflow-y: scroll;
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font-family: Arial, sans-serif;
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font-size: 14px;
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width: 100%;
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}
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.user-message {
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background-color: #4CAF50;
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color: white;
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padding: 10px;
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border-radius: 5px;
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margin-bottom: 10px;
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}
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.bot-response {
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background-color: #2196F3;
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color: white;
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padding: 10px;
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border-radius: 5px;
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margin-bottom: 10px;
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}
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#input-text {
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margin-top: 20px;
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}
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""",
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js="""
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function updateChatBox(userInput, botResponse) {
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const chatBox = document.getElementById('chat-box');
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chatBox.innerHTML += '<div class="user-message">' + userInput + '</div>';
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chatBox.innerHTML += '<div class="bot-response">' + botResponse + '</div>';
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chatBox.scrollTop = chatBox.scrollHeight; // Auto-scroll to the bottom
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}
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function handleChat(userInput, outputFormat) {
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gradioApp().querySelector('.gr-button').click(); // Simulate submit button click
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}
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"""
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)
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# Launch the Gradio interface
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if __name__ == "__main__":
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chat_interface.launch()
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import gradio as gr
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import openai
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import langdetect as detect
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import os
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# Set up OpenAI API with custom Groq endpoint
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openai.api_key = os.getenv("PrepBuddy_API_KEY")
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openai.api_base = "https://api.groq.com/openai/v1"
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# Function to get the Groq model's response
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def get_groq_response(message, mode):
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try:
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# Use a system prompt tailored to the selected mode
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motivational_message = (
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"Keep pushing forward! You've got this. Programming might seem tough at first, but every step you take "
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"is one step closer to mastering it. Let's score 70 on 70 in programming together!"
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except Exception as e:
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return [(user_input, f"Error: {str(e)}")], history
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# Gradio Interface setup
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chat_interface = gr.Interface(
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fn=chatbot, # Function to call for chatbot interaction
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inputs=[
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),
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"state" # Chat history
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],
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outputs=["chatbot", "state"], # Outputs: the chat and updated history (state)
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live=False, # Disable live chat, responses shown after submit
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title="GS C PrepBuddy", # Title of the app
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description=(
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"Choose your output format—Code, Flowchart, Algorithm, or Exam Preparation.\n\n"
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"Ask your query, and I'll guide you every step of the way!\n\n"
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"Made by Satyam Singhal"
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)
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)
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# Launch the Gradio interface
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if __name__ == "__main__":
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chat_interface.launch()
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