updated app

.gitignore

@@ -0,0 +1 @@
+BACKUP.py

app.py

@@ -2,44 +2,51 @@ import os
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Read your HF token from secret
+# Authenticate with Hugging Face
 client = InferenceClient(
     provider="sambanova",
     api_key=os.environ["HF_TOKEN"],
 )
 
-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
-    )
+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}
+        })
 
-    return completion.choices[0].message.content
+    messages = [{"role": "user", "content": message_content}]
 
+    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}"
+
+# Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("## 🦙 LLaMA 4 Visual Chat")
-    gr.Markdown("Upload an image URL and ask a question.")
+    gr.Markdown("## 🦙 LLaMA 4 Chat (Text + Optional Image URL)")
+    gr.Markdown("Enter a text prompt. Optionally provide an image URL.")
 
     with gr.Row():
-        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.")
+        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")
 
-    submit_btn = gr.Button("Ask LLaMA 4")
-    output_box = gr.Textbox(label="Response", lines=6)
+    submit_btn = gr.Button("Generate Response")
+    output_box = gr.Textbox(label="LLaMA 4 Response", lines=8)
 
-    submit_btn.click(fn=llama4_image_chat, inputs=[image_url_input, question_input], outputs=output_box)
+    submit_btn.click(
+        fn=llama4_chat,
+        inputs=[image_url_input, text_prompt_input],
+        outputs=output_box
+    )
 
 demo.launch()