Update app.py

app.py

@@ -1,71 +1,66 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+client = InferenceClient(model="Simon0900/personalized-fitness-coach-JSON")
+
 
 def respond(
     message,
-    history: list[dict[str, str]],
+    history,
     system_message,
     max_tokens,
     temperature,
     top_p,
-    #hf_token: gr.OAuthToken,
 ):
     """
-    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
+    Generate response using text-generation (works for non-chat models)
     """
-    #client = InferenceClient(token=hf_token.token, model="Simon0900/personalized-fitness-coach-JSON")
-    client = InferenceClient(model="Simon0900/personalized-fitness-coach-JSON")
-    
-    messages = [{"role": "system", "content": system_message}]
 
-    messages.extend(history)
+    # Build a simple prompt (chat-style formatting for a base model)
+    prompt = system_message.strip() + "\n\n"
 
-    messages.append({"role": "user", "content": message})
+    for user_msg, bot_msg in history:
+        prompt += f"User: {user_msg}\nAssistant: {bot_msg}\n"
 
-    response = ""
+    prompt += f"User: {message}\nAssistant:"
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
+    response = client.text_generation(
+        prompt,
+        max_new_tokens=max_tokens,
         temperature=temperature,
         top_p=top_p,
-    ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
+        return_full_text=False,
+    )
 
-        response += token
-        yield response
+    return response
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
 chatbot = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="""You are a fitness expert. You will create a workout plan in JSON-schema, based on the given user description. Strictly use the following format:\n\nJSON-schematic:\n{\n  \"goal\": <workout goal>,\n  \"intensity\": <intensity level>,\n  \"workout_equipment\": <workout equipment>,\n  \"workout_days\": <workout days>,\n  \"time_per_workout\": <time per workout>,\n  \"limitations\": <limitations>,\n  \"days\": [\n    {\n      \"day\": <day of week>,\n      \"focus\": <muscle groups>,\n      \"estimated_duration_min\": <estimated duration>,\n      \"warmup_exercise\": <warmup exercise>,\n      \"exercises\": [\n        {\n          \"name\": <name of exercise>,\n          \"muscle_group\": <muscle group>,\n          \"instructions\": <instructions>,\n          \"sets\": <number of sets>,\n          \"reps\": <number of reps>,\n          \"rest_seconds\": <rest duration>\n        }\n        OR\n        {\n          \"name\": <name of exercise>,\n          \"muscle_group\": \"cardio\",\n          \"instructions\": <instructions>,\n          \"duration_min\": <duration>\n        }\n      ]\n    }\n  ]\n}\n\nRules:\n- Warmup must differ from exercises\n- At least 3 exercises per day\n- No repeating exercises on consecutive days\n- Optimize for recovery and variation\n- Spread out the workout days over a week\n- Not every exercise has to use the equipment\n- Cardio exercises do not have to use the equipment\n- Respond only with valid JSON using double quotes\n
-""", label="System message"),
-        gr.Slider(minimum=1, maximum=4096, value=4096, 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)",
+        gr.Textbox(
+            value="""You are a fitness expert. You will create a workout plan in JSON format.
+
+Return ONLY valid JSON using double quotes.
+
+Rules:
+- At least 3 exercises per day
+- No repeated exercises on consecutive days
+- Optimize recovery and variation
+- Include warmup separate from exercises
+""",
+            label="System message",
         ),
+        gr.Slider(1, 2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p"),
     ],
 )
 
+
 with gr.Blocks() as demo:
-    with gr.Sidebar():
-        gr.LoginButton()
     chatbot.render()
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()