Update app.py

app.py

@@ -1,64 +1,35 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
+from gradio_client import Client, handle_file
+from huggingface_hub import HfApi
+import time
 
-"""
-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("HuggingFaceM4/idefics2-8b")
+api = HfApi()
 
+repo_ids = ["HuggingFaceH4/idefics2-8b-playground"]
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+for repo_id in repo_ids:
+    if api.space_info(repo_id).runtime.stage not in ["RUNNING", "APP_STARTING", "RUNNING_APP_STARTING"]:
+        api.restart_space(repo_id="HuggingFaceH4/idefics2-8b-playground")
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+for repo_id in repo_ids:
+    while api.space_info(repo_id).runtime.stage != "RUNNING":
+        time.sleep(1)
 
-    messages.append({"role": "user", "content": message})
+client_idefics2 = Client("HuggingFaceH4/idefics2-8b-playground")
 
-    response = ""
 
-    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
+def respond(multimodal_input):
+    x = {"text": multimodal_input["text"], "files": [handle_file(file) for file in multimodal_input["files"]]}
+    text_1 = client_idefics2.predict(x, api_name="/predict")
+    return text_1
 
-        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(
+gr.Interface(
     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)",
-        ),
-    ],
-    multimodal=True
-)
+    title="Compare IDEFICS2-8B Against DPO",
+    description="Chatchat made by Peterpeter8585",
+    inputs=[gr.MultimodalTextbox(file_types=["image"], show_label=False)],
+    outputs=[gr.Textbox(label="idefics2-8b")],
+    examples=[{"text": "What is the type of flower in the image and what insect is on it?", "files": ["./bee.jpg"]},
+             {"text": "Describe the image", "files": ["./howl.jpg"]}],
+).launch()
 
-
-if __name__ == "__main__":
-    demo.launch()