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Update app.py
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app.py
CHANGED
@@ -3,8 +3,10 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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-
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-
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def fn_text(
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prompt,
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@@ -21,7 +23,7 @@ def fn_text(
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history.append(messages[1])
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stream = client.chat.completions.create(
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model =
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messages = history,
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max_tokens = max_tokens,
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temperature = temperature,
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@@ -44,7 +46,7 @@ app_text = gr.ChatInterface(
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P"),
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],
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title = "Meta Llama",
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description =
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)
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def fn_vision(
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@@ -61,7 +63,7 @@ def fn_vision(
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messages[0]["content"].append({"type": "image_url", "image_url": {"url": image_url}})
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stream = client.chat.completions.create(
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model =
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messages = messages,
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max_tokens = max_tokens,
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temperature = temperature,
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@@ -90,7 +92,7 @@ app_vision = gr.Interface(
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P"),
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],
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title = "Meta Llama",
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description =
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)
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app = gr.TabbedInterface(
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import gradio as gr
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from huggingface_hub import InferenceClient
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model_text = "meta-llama/Llama-3.2-11B-Vision-Instruct"
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model_vision = "meta-llama/Llama-3.2-11B-Vision-Instruct"
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client = InferenceClient()
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def fn_text(
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prompt,
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history.append(messages[1])
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stream = client.chat.completions.create(
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model = model_text,
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messages = history,
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max_tokens = max_tokens,
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temperature = temperature,
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P"),
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],
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title = "Meta Llama",
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description = model_text,
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)
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def fn_vision(
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messages[0]["content"].append({"type": "image_url", "image_url": {"url": image_url}})
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stream = client.chat.completions.create(
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model = model_vision,
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messages = messages,
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max_tokens = max_tokens,
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temperature = temperature,
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P"),
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],
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title = "Meta Llama",
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description = model_vision,
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)
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app = gr.TabbedInterface(
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