reverting

app.py

@@ -2,51 +2,44 @@ import os
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Authenticate with Hugging Face
+# Read your HF token from secret
 client = InferenceClient(
     provider="sambanova",
     api_key=os.environ["HF_TOKEN"],
 )
 
-def llama4_chat(image_url, text_prompt):
-    if not text_prompt:
-        return "Please enter a text question or prompt."
-
-    message_content = [{"type": "text", "text": text_prompt}]
-
-    if image_url:
-        message_content.append({
-            "type": "image_url",
-            "image_url": {"url": image_url}
-        })
-
-    messages = [{"role": "user", "content": message_content}]
+def llama4_image_chat(image_url, question):
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": question},
+                {
+                    "type": "image_url",
+                    "image_url": {"url": image_url}
+                }
+            ]
+        }
+    ]
+
+    completion = client.chat.completions.create(
+        model="meta-llama/Llama-4-Maverick-17B-128E-Instruct",
+        messages=messages
+    )
 
-    try:
-        completion = client.chat.completions.create(
-            model="meta-llama/Llama-4-Maverick-17B-128E-Instruct",
-            messages=messages
-        )
-        return completion.choices[0].message.content
-    except Exception as e:
-        return f"Error: {e}"
+    return completion.choices[0].message.content
 
-# Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("## 🦙 LLaMA 4 Chat (Text + Optional Image URL)")
-    gr.Markdown("Enter a text prompt. Optionally provide an image URL.")
+    gr.Markdown("## 🦙 LLaMA 4 Visual Chat")
+    gr.Markdown("Upload an image URL and ask a question.")
 
     with gr.Row():
-        text_prompt_input = gr.Textbox(label="Text Prompt / Question", placeholder="What is happening in the image?", lines=2)
-        image_url_input = gr.Textbox(label="Optional Image URL", placeholder="https://example.com/image.jpg")
+        image_url_input = gr.Textbox(label="Image URL", placeholder="Paste image URL here...")
+        question_input = gr.Textbox(label="Question", placeholder="e.g., Describe this image in one sentence.")
 
-    submit_btn = gr.Button("Generate Response")
-    output_box = gr.Textbox(label="LLaMA 4 Response", lines=8)
+    submit_btn = gr.Button("Ask LLaMA 4")
+    output_box = gr.Textbox(label="Response", lines=6)
 
-    submit_btn.click(
-        fn=llama4_chat,
-        inputs=[image_url_input, text_prompt_input],
-        outputs=output_box
-    )
+    submit_btn.click(fn=llama4_image_chat, inputs=[image_url_input, question_input], outputs=output_box)
 
 demo.launch()