initial commit

app.py

@@ -0,0 +1,65 @@
+import gradio as gr
+from openai import OpenAI
+import os
+
+# Initialize the OpenAI client
+api_key = os.environ.get('HYPERBOLIC_API_KEY', 'your_default_api_key_here')
+client = OpenAI(
+    base_url="https://api.hyperbolic.xyz/v1",
+    api_key=api_key,
+)
+
+def generate_completion(prompt, temperature, repetition_penalty, stop_phrase):
+    try:
+        completion = client.completions.create(
+            model="meta-llama/Meta-Llama-3.1-405B-FP8",
+            prompt=prompt,
+            temperature=temperature,
+            frequency_penalty=repetition_penalty,
+            max_tokens=2000,
+            stop=[stop_phrase] if stop_phrase else None
+        )
+        return completion.choices[0].text.strip()
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+def append_completion(prompt, completion):
+    new_prompt = f"{prompt}\n{completion}".strip()
+    return new_prompt, ""  # Return new prompt and empty completion
+
+with gr.Blocks(theme=gr.themes.Soft()) as iface:
+    gr.Markdown("# Llama 3.1 405B Completion Interface")
+    
+    with gr.Row():
+        with gr.Column(scale=2):
+            prompt_input = gr.Textbox(label="Prompt", lines=5, placeholder="Enter your prompt here...")
+        with gr.Column(scale=1):
+            temperature_slider = gr.Slider(minimum=0, maximum=1, value=0.7, step=0.1, label="Temperature")
+            repetition_penalty_slider = gr.Slider(minimum=0, maximum=2, value=1.1, step=0.1, label="Repetition Penalty")
+            stop_phrase_input = gr.Textbox(label="Stop Phrase", placeholder="Enter stop phrase (optional)")
+    
+    generate_button = gr.Button("Generate Completion")
+    
+    output_text = gr.Textbox(label="Generated Completion", lines=10)
+    
+    append_button = gr.Button("Append Completion to Prompt")
+    
+    generate_button.click(
+        generate_completion, 
+        inputs=[prompt_input, temperature_slider, repetition_penalty_slider, stop_phrase_input],
+        outputs=output_text
+    )
+    
+    append_button.click(
+        append_completion,
+        inputs=[prompt_input, output_text],
+        outputs=[prompt_input, output_text]
+    )
+    
+    gr.Markdown("""
+---
+This interface is powered by the Llama 3.1 405B base model, served by [Hyperbolic](https://hyperbolic.xyz), The Open Access AI Cloud.
+
+Thank you to Hyperbolic for making this base model available!
+""")
+iface.launch(share=True)