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Update app.py
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app.py
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Berikut adalah versi lengkap kode kamu yang sudah diperbarui:
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Menggunakan gr.Chatbot agar tampilannya seperti ChatGPT (chat di atas, input di bawah).
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Error No API Key tetap dicek, tapi tidak menyebabkan crash (ditampilkan di chat).
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Chat history ditampilkan penuh di gr.Chatbot.
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---
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Kode Lengkap (siap copas & jalan):
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import gradio as gr
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import requests
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import os
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# Groq API Configuration
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API_URL = "https://api.groq.com/openai/v1/chat/completions"
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API_KEY = os.getenv("GROQ_API_KEY")
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print(f"
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# In-memory chat history storage
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chat_history: List[Dict[str, str]] = []
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"""Groq API call with chat history and optional summarization"""
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if not message.strip():
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return "
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try:
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if not API_KEY:
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return "
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"timestamp": datetime.now().isoformat()
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})
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return response_content
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return f"
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return f"
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except Exception as e:
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return f"
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def clear_history():
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chat_history.clear()
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return [], "
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def view_history(topic: str = None):
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if not chat_history:
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return "
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filtered = [msg for msg in chat_history if topic is None or msg["topic"] == topic]
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return "\n".join(
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def manual_curl_example():
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if not API_KEY:
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return "
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return f"""curl -X POST "{API_URL}" \\
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-H "Authorization: Bearer {API_KEY}" \\
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-H "Content-Type: application/json" \\
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def process_message(message: str, topic: str, summarize: bool, chatbot):
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if not API_KEY:
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chatbot.append(("user", message))
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chatbot.append(("assistant", "
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return chatbot, ""
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response = groq_with_memory(message, topic, summarize)
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# Gradio Interface
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with gr.Blocks(title="Groq Chat UI") as demo:
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gr.Markdown("##
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with gr.Tab("Chat"):
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chatbot = gr.Chatbot(label="Conversation")
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with gr.Tab("API Tools"):
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gr.Markdown(f"""
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""")
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curl_btn = gr.Button("Generate cURL Example")
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curl_btn.click(manual_curl_example, outputs=[curl_output])
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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---
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π§ Catatan:
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Format chat akan muncul mirip ChatGPT.
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Kalau API Key tidak ada, akan tetap jalan, tapi menampilkan error di dalam kotak chat (tidak crash).
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Kamu bisa jalankan dengan:
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python namafile.py
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---
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Siap langsung digunakan. Mau saya bantu buat versi Docker-nya juga?
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import gradio as gr
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import requests
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import os
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# Groq API Configuration
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API_URL = "https://api.groq.com/openai/v1/chat/completions"
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API_KEY = os.getenv("GROQ_API_KEY")
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print(f"API Key Found: {'Yes' if API_KEY else 'No'}")
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# In-memory chat history storage
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chat_history: List[Dict[str, str]] = []
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"""Groq API call with chat history and optional summarization"""
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if not message.strip():
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return "Empty message"
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try:
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if not API_KEY:
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return "No API Key found"
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"timestamp": datetime.now().isoformat()
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})
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return response_content
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return f"No choices in response: {result}"
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return f"HTTP {response.status_code}: {response.text}"
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except Exception as e:
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return f"Error: {str(e)}"
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def clear_history():
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chat_history.clear()
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return [], "Chat history cleared"
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def view_history(topic: str = None):
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if not chat_history:
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return "No chat history available"
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filtered = [msg for msg in chat_history if topic is None or msg["topic"] == topic]
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return "\n".join(
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def manual_curl_example():
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if not API_KEY:
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return "No API key available"
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return f"""curl -X POST "{API_URL}" \\
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-H "Authorization: Bearer {API_KEY}" \\
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-H "Content-Type: application/json" \\
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def process_message(message: str, topic: str, summarize: bool, chatbot):
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if not API_KEY:
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chatbot.append(("user", message))
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chatbot.append(("assistant", "No API Key found."))
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return chatbot, ""
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response = groq_with_memory(message, topic, summarize)
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# Gradio Interface
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with gr.Blocks(title="Groq Chat UI") as demo:
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gr.Markdown("## Groq Chat UI")
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with gr.Tab("Chat"):
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chatbot = gr.Chatbot(label="Conversation")
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with gr.Tab("API Tools"):
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gr.Markdown(f"""
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API Status: {"Ready" if API_KEY else "No API Key"}
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Endpoint: {API_URL}
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Models: llama3-8b-8192, llama3-70b-8192, mixtral-8x7b-32768
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""")
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curl_btn = gr.Button("Generate cURL Example")
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curl_btn.click(manual_curl_example, outputs=[curl_output])
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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