Create app.py

app.py

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+import os
+import time
+import gradio as gr
+from groq import Groq
+
+API_KEY = os.environ.get("GROQ_API_KEY")
+client = Groq(api_key=API_KEY)
+
+TITLE = "<h1><center>CodeAssist AI</center></h1>"
+
+PLACEHOLDER = """
+<center>
+<p>Hi, I'm your coding assistant. Ask me anything about programming!</p>
+</center>
+"""
+
+CSS = """
+.duplicate-button {
+    margin: auto !important;
+    color: white !important;
+    background: black !important;
+    border-radius: 100vh !important;
+}
+h3 {
+    text-align: center;
+}
+"""
+
+def generate_response(
+    message: str, 
+    history: list,
+    system_prompt: str,
+    temperature: float = 0.7, 
+    max_tokens: int = 512
+):
+    conversation = [
+        {"role": "system", "content": system_prompt}
+    ]
+    for prompt, answer in history:
+        conversation.extend([
+            {"role": "user", "content": prompt}, 
+            {"role": "assistant", "content": answer},
+        ])
+
+    conversation.append({"role": "user", "content": message})
+
+    response = client.chat.completions.create(
+        model="llama-3.1-8B-Instant",
+        messages=conversation,
+        temperature=temperature,
+        max_tokens=max_tokens,
+        stream=True
+    )
+
+    partial_message = ""
+    for chunk in response:
+        if chunk.choices[0].delta.content is not None:
+            partial_message += chunk.choices[0].delta.content
+            yield partial_message
+
+def clear_conversation():
+    return [], None
+
+chatbot = gr.Chatbot(height=600, placeholder=PLACEHOLDER)
+
+with gr.Blocks(css=CSS, theme="Nymbo/Nymbo_Theme") as demo:
+    gr.HTML(TITLE)
+    gr.ChatInterface(
+        fn=generate_response,
+        chatbot=chatbot,
+        fill_height=True,
+        additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False),
+        additional_inputs=[
+            gr.Textbox(
+                value="You are a helpful coding assistant, specialized in code completion, debugging, and analysis. Provide concise and accurate responses.",
+                label="System Prompt",
+            ),
+            gr.Slider(
+                minimum=0,
+                maximum=1,
+                step=0.1,
+                value=0.7,
+                label="Temperature",
+            ),
+            gr.Slider(
+                minimum=50,
+                maximum=1024,
+                step=1,
+                value=512,
+                label="Max tokens",
+            ),
+        ],
+        examples=[
+            ["How do I implement a binary search in Python?"],
+            ["Explain the concept of recursion and provide a simple example."],
+            ["What are the best practices for error handling in JavaScript?"],
+            ["How can I optimize this code snippet: [paste your code here]"],
+        ],
+        cache_examples=False,
+    )
+    
+    clear_btn = gr.Button("Clear Conversation")
+    clear_btn.click(clear_conversation, outputs=[chatbot, chatbot])
+
+if __name__ == "__main__":
+    demo.launch()