new app.py

app.py

@@ -1,64 +1,86 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
+# Initialize the Hugging Face model client
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")  # Change to your preferred model
 
+# Map descriptive length to token count
+length_map = {
+    "Short": 100,
+    "Medium": 200,
+    "Long": 300
+}
+
+# Function to generate creative writing content
+def generate_text(category, theme, tone, length, max_tokens, temperature, top_p):
+    # Set defaults if needed
+    category = category or "story"
+    theme = theme.strip() or "an interesting idea"
+    tone = tone or "neutral"
+    length = length or "Short"
+    
+    token_length = length_map.get(length, 100)
+
+    # Construct the prompt
+    prompt = (
+        f"Write a {length.lower()} and {tone.lower()} {category.lower()} titled '{theme}'. "
+        "It should have a beginning, middle, and end. Use vivid, imaginative language. "
+        f"'The {theme.title()}'. Write it in a creative and expressive style.\n\n"
+    )
+
+    if category.lower() == "poem":
+        prompt += "Make sure it's in poetic form, with vivid imagery and emotion."
+    elif category.lower() == "story":
+        prompt += "Start with an engaging opening, include a conflict, and resolve it clearly."
+
+    prompt += "\n\n"
+
+    # Prepare the message for the chat API
+    messages = [
+        {"role": "system", "content": "You are a creative writing assistant."},
+        {"role": "user", "content": prompt}
+    ]
+
+    # Collect the response
     response = ""
+    try:
+        for message in client.chat_completion(
+            messages=messages,
+            max_tokens=max_tokens or token_length,
+            temperature=temperature,
+            top_p=top_p,
+            stream=True,
+        ):
+            token = message.choices[0].delta.content
+            response += token
+    except Exception as e:
+        return f"❌ Exception: {str(e)}"
+
+    return response
+
+
+# Create Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## ✨ Creative Writing Generator (Hugging Face API)")
+
+    with gr.Row():
+        category = gr.Dropdown(["Story", "Poem"], label="Category")
+        theme = gr.Textbox(label="Theme", placeholder="e.g. friendship, time travel, lost love")
+        tone = gr.Dropdown(["Happy", "Sad", "Funny", "Dark", "Inspiring"], label="Tone")
+        length = gr.Dropdown(["Short", "Medium", "Long"], label="Length")
+
+    with gr.Accordion("🛠 Advanced Settings", open=False):
+        max_tokens = gr.Slider(minimum=50, maximum=2048, value=300, step=10, label="Max Tokens")
+        temperature = gr.Slider(minimum=0.1, maximum=2.0, value=0.8, step=0.1, label="Temperature")
+        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (Nucleus Sampling)")
+
+    generate_button = gr.Button("🪄 Generate")
+    output = gr.Textbox(label="Generated Content", lines=15)
+
+    generate_button.click(
+        fn=generate_text,
+        inputs=[category, theme, tone, length, max_tokens, temperature, top_p],
+        outputs=output
+    )
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()